Tip: All themes automatically support light and dark modes. Just toggle the .dark class!
diff --git a/.design-system/src/lib/icons.ts b/.design-system/src/lib/icons.ts
new file mode 100644
index 00000000..574c0170
--- /dev/null
+++ b/.design-system/src/lib/icons.ts
@@ -0,0 +1,39 @@
+/**
+ * Centralized Icon Exports for Design System
+ *
+ * This file serves as the single source of truth for all lucide-react icons used
+ * throughout the design system demo app. By consolidating imports here, we enable:
+ *
+ * 1. Better tracking of which icons are actually used
+ * 2. Potential code-splitting opportunities
+ * 3. Easier future migration to alternative icon solutions
+ * 4. Reduced bundle size through optimized tree-shaking
+ *
+ * Usage:
+ * import { Check, ChevronLeft, X } from '../lib/icons';
+ *
+ * When adding new icons:
+ * 1. Import the icon from 'lucide-react'
+ * 2. Add it to the export statement in alphabetical order
+ */
+
+export {
+ Check,
+ ChevronLeft,
+ ChevronRight,
+ Github,
+ Heart,
+ MessageSquare,
+ Minus,
+ Moon,
+ MoreVertical,
+ Plus,
+ RotateCcw,
+ Slack,
+ Sparkles,
+ Star,
+ Sun,
+ Video,
+ X,
+ Zap,
+} from 'lucide-react';
diff --git a/.github/release-drafter.yml b/.github/release-drafter.yml
new file mode 100644
index 00000000..fd6f6233
--- /dev/null
+++ b/.github/release-drafter.yml
@@ -0,0 +1,35 @@
+name-template: 'v$RESOLVED_VERSION'
+tag-template: 'v$RESOLVED_VERSION'
+
+categories:
+ - title: '## New Features'
+ labels:
+ - 'feature'
+ - 'enhancement'
+ - title: '## Bug Fixes'
+ labels:
+ - 'bug'
+ - 'fix'
+ - title: '## Improvements'
+ labels:
+ - 'improvement'
+ - 'refactor'
+ - title: '## Documentation'
+ labels:
+ - 'documentation'
+ - title: '## Other Changes'
+ labels:
+ - '*'
+
+change-template: '* $TITLE (#$NUMBER) @$AUTHOR'
+
+sort-by: merged_at
+sort-direction: ascending
+
+template: |
+ $CHANGES
+
+ **Full Changelog**: https://github.com/$OWNER/$REPOSITORY/compare/$PREVIOUS_TAG...$RESOLVED_VERSION
+
+ ## Contributors
+ $CONTRIBUTORS
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index d3c1f8f7..76b644a7 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -57,7 +57,7 @@ jobs:
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
- # Frontend tests
+ # Frontend lint, typecheck, test, and build
test-frontend:
runs-on: ubuntu-latest
steps:
@@ -72,12 +72,34 @@ jobs:
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
- version: 9
+ version: 10
+
+ - name: Get pnpm store directory
+ id: pnpm-cache
+ run: echo "dir=$(pnpm store path)" >> "$GITHUB_OUTPUT"
+
+ - uses: actions/cache@v4
+ with:
+ path: ${{ steps.pnpm-cache.outputs.dir }}
+ key: ${{ runner.os }}-pnpm-${{ hashFiles('**/pnpm-lock.yaml') }}
+ restore-keys: ${{ runner.os }}-pnpm-
- name: Install dependencies
working-directory: auto-claude-ui
run: pnpm install --frozen-lockfile --ignore-scripts
+ - name: Lint
+ working-directory: auto-claude-ui
+ run: pnpm run lint
+
+ - name: Type check
+ working-directory: auto-claude-ui
+ run: pnpm run typecheck
+
- name: Run tests
working-directory: auto-claude-ui
- run: pnpm test
+ run: pnpm run test
+
+ - name: Build
+ working-directory: auto-claude-ui
+ run: pnpm run build
diff --git a/.github/workflows/discord-release.yml b/.github/workflows/discord-release.yml
index 4592ee39..4d002256 100644
--- a/.github/workflows/discord-release.yml
+++ b/.github/workflows/discord-release.yml
@@ -22,4 +22,3 @@ jobs:
footer_timestamp: true
reduce_headings: true
remove_github_reference_links: true
-
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
new file mode 100644
index 00000000..c225f7ac
--- /dev/null
+++ b/.github/workflows/release.yml
@@ -0,0 +1,344 @@
+name: Release
+
+on:
+ push:
+ tags:
+ - 'v*'
+ workflow_dispatch:
+ inputs:
+ dry_run:
+ description: 'Test build without creating release'
+ required: false
+ default: true
+ type: boolean
+
+jobs:
+ build-macos:
+ runs-on: macos-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Setup Node.js
+ uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+
+ - name: Setup pnpm
+ uses: pnpm/action-setup@v4
+ with:
+ version: 10
+
+ - name: Get pnpm store directory
+ id: pnpm-cache
+ run: echo "dir=$(pnpm store path)" >> $GITHUB_OUTPUT
+
+ - uses: actions/cache@v4
+ with:
+ path: ${{ steps.pnpm-cache.outputs.dir }}
+ key: ${{ runner.os }}-pnpm-${{ hashFiles('**/pnpm-lock.yaml') }}
+ restore-keys: ${{ runner.os }}-pnpm-
+
+ - name: Install dependencies
+ run: cd auto-claude-ui && pnpm install --frozen-lockfile
+
+ - name: Build application
+ run: cd auto-claude-ui && pnpm run build
+
+ - name: Package macOS (Intel)
+ run: cd auto-claude-ui && pnpm run package:mac -- --arch=x64
+ env:
+ GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ CSC_LINK: ${{ secrets.MAC_CERTIFICATE }}
+ CSC_KEY_PASSWORD: ${{ secrets.MAC_CERTIFICATE_PASSWORD }}
+
+ - name: Package macOS (Apple Silicon)
+ run: cd auto-claude-ui && pnpm run package:mac -- --arch=arm64
+ env:
+ GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ CSC_LINK: ${{ secrets.MAC_CERTIFICATE }}
+ CSC_KEY_PASSWORD: ${{ secrets.MAC_CERTIFICATE_PASSWORD }}
+
+ - name: Notarize macOS apps
+ env:
+ APPLE_ID: ${{ secrets.APPLE_ID }}
+ APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
+ APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
+ run: |
+ if [ -z "$APPLE_ID" ]; then
+ echo "Skipping notarization: APPLE_ID not configured"
+ exit 0
+ fi
+ cd auto-claude-ui
+ for dmg in dist/*.dmg; do
+ echo "Notarizing $dmg..."
+ xcrun notarytool submit "$dmg" \
+ --apple-id "$APPLE_ID" \
+ --password "$APPLE_APP_SPECIFIC_PASSWORD" \
+ --team-id "$APPLE_TEAM_ID" \
+ --wait
+ xcrun stapler staple "$dmg"
+ echo "Successfully notarized and stapled $dmg"
+ done
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v4
+ with:
+ name: macos-builds
+ path: |
+ auto-claude-ui/dist/*.dmg
+ auto-claude-ui/dist/*.zip
+
+ build-windows:
+ runs-on: windows-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Setup Node.js
+ uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+
+ - name: Setup pnpm
+ uses: pnpm/action-setup@v4
+ with:
+ version: 10
+
+ - name: Get pnpm store directory
+ id: pnpm-cache
+ shell: bash
+ run: echo "dir=$(pnpm store path)" >> $GITHUB_OUTPUT
+
+ - uses: actions/cache@v4
+ with:
+ path: ${{ steps.pnpm-cache.outputs.dir }}
+ key: ${{ runner.os }}-pnpm-${{ hashFiles('**/pnpm-lock.yaml') }}
+ restore-keys: ${{ runner.os }}-pnpm-
+
+ - name: Install dependencies
+ run: cd auto-claude-ui && pnpm install --frozen-lockfile
+
+ - name: Build application
+ run: cd auto-claude-ui && pnpm run build
+
+ - name: Package Windows
+ run: cd auto-claude-ui && pnpm run package:win
+ env:
+ GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ CSC_LINK: ${{ secrets.WIN_CERTIFICATE }}
+ CSC_KEY_PASSWORD: ${{ secrets.WIN_CERTIFICATE_PASSWORD }}
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v4
+ with:
+ name: windows-builds
+ path: |
+ auto-claude-ui/dist/*.exe
+
+ build-linux:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Setup Node.js
+ uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+
+ - name: Setup pnpm
+ uses: pnpm/action-setup@v4
+ with:
+ version: 10
+
+ - name: Get pnpm store directory
+ id: pnpm-cache
+ run: echo "dir=$(pnpm store path)" >> $GITHUB_OUTPUT
+
+ - uses: actions/cache@v4
+ with:
+ path: ${{ steps.pnpm-cache.outputs.dir }}
+ key: ${{ runner.os }}-pnpm-${{ hashFiles('**/pnpm-lock.yaml') }}
+ restore-keys: ${{ runner.os }}-pnpm-
+
+ - name: Install dependencies
+ run: cd auto-claude-ui && pnpm install --frozen-lockfile
+
+ - name: Build application
+ run: cd auto-claude-ui && pnpm run build
+
+ - name: Package Linux
+ run: cd auto-claude-ui && pnpm run package:linux
+ env:
+ GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+ - name: Upload artifacts
+ uses: actions/upload-artifact@v4
+ with:
+ name: linux-builds
+ path: |
+ auto-claude-ui/dist/*.AppImage
+ auto-claude-ui/dist/*.deb
+
+ create-release:
+ needs: [build-macos, build-windows, build-linux]
+ runs-on: ubuntu-latest
+ permissions:
+ contents: write
+ steps:
+ - uses: actions/checkout@v4
+ with:
+ fetch-depth: 0
+
+ - name: Download all artifacts
+ uses: actions/download-artifact@v4
+ with:
+ path: dist
+
+ - name: Flatten and validate artifacts
+ run: |
+ mkdir -p release-assets
+ find dist -type f \( -name "*.dmg" -o -name "*.zip" -o -name "*.exe" -o -name "*.AppImage" -o -name "*.deb" \) -exec cp {} release-assets/ \;
+
+ # Validate that at least one artifact was copied
+ artifact_count=$(find release-assets -type f \( -name "*.dmg" -o -name "*.zip" -o -name "*.exe" -o -name "*.AppImage" -o -name "*.deb" \) | wc -l)
+ if [ "$artifact_count" -eq 0 ]; then
+ echo "::error::No build artifacts found! Expected .dmg, .zip, .exe, .AppImage, or .deb files."
+ exit 1
+ fi
+
+ echo "Found $artifact_count artifact(s):"
+ ls -la release-assets/
+
+ - name: Generate checksums
+ run: |
+ cd release-assets
+ sha256sum ./* > checksums.sha256
+ cat checksums.sha256
+
+ - name: Scan with VirusTotal
+ id: virustotal
+ if: ${{ github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && inputs.dry_run != true) }}
+ env:
+ VT_API_KEY: ${{ secrets.VIRUSTOTAL_API_KEY }}
+ run: |
+ if [ -z "$VT_API_KEY" ]; then
+ echo "::warning::VIRUSTOTAL_API_KEY not configured, skipping scan"
+ echo "vt_results=" >> $GITHUB_OUTPUT
+ exit 0
+ fi
+
+ echo "## VirusTotal Scan Results" > vt_results.md
+ echo "" >> vt_results.md
+
+ scan_failed=false
+
+ for file in release-assets/*.{exe,dmg,AppImage,deb}; do
+ [ -f "$file" ] || continue
+ filename=$(basename "$file")
+ echo "Scanning $filename..."
+
+ # Upload file to VirusTotal
+ response=$(curl -s --request POST \
+ --url "https://www.virustotal.com/api/v3/files" \
+ --header "x-apikey: $VT_API_KEY" \
+ --form "file=@$file")
+
+ # Extract analysis ID
+ analysis_id=$(echo "$response" | jq -r '.data.id // empty')
+
+ if [ -z "$analysis_id" ]; then
+ echo "::error::Failed to upload $filename to VirusTotal"
+ echo "Response: $response"
+ scan_failed=true
+ continue
+ fi
+
+ echo "Uploaded $filename, analysis ID: $analysis_id"
+
+ # Wait for analysis to complete (max 5 minutes per file)
+ for i in {1..30}; do
+ sleep 10
+ analysis=$(curl -s --request GET \
+ --url "https://www.virustotal.com/api/v3/analyses/$analysis_id" \
+ --header "x-apikey: $VT_API_KEY")
+
+ status=$(echo "$analysis" | jq -r '.data.attributes.status')
+ echo " Status: $status (attempt $i/30)"
+
+ if [ "$status" = "completed" ]; then
+ break
+ fi
+ done
+
+ # Get file hash for permanent URL
+ file_hash=$(echo "$analysis" | jq -r '.meta.file_info.sha256 // empty')
+
+ if [ -z "$file_hash" ]; then
+ # Fallback: calculate hash locally
+ file_hash=$(sha256sum "$file" | cut -d' ' -f1)
+ fi
+
+ # Get detection stats
+ malicious=$(echo "$analysis" | jq -r '.data.attributes.stats.malicious // 0')
+ suspicious=$(echo "$analysis" | jq -r '.data.attributes.stats.suspicious // 0')
+ undetected=$(echo "$analysis" | jq -r '.data.attributes.stats.undetected // 0')
+
+ vt_url="https://www.virustotal.com/gui/file/$file_hash"
+
+ if [ "$malicious" -gt 0 ] || [ "$suspicious" -gt 0 ]; then
+ echo "::error::$filename has $malicious malicious and $suspicious suspicious detections!"
+ echo "- [$filename]($vt_url) - ⚠️ **$malicious malicious, $suspicious suspicious** detections" >> vt_results.md
+ scan_failed=true
+ else
+ echo "$filename is clean ($undetected engines, 0 detections)"
+ echo "- [$filename]($vt_url) - ✅ Clean ($undetected engines, 0 detections)" >> vt_results.md
+ fi
+ done
+
+ echo "" >> vt_results.md
+
+ # Save results for release notes
+ cat vt_results.md
+ echo "vt_results<> $GITHUB_OUTPUT
+ cat vt_results.md >> $GITHUB_OUTPUT
+ echo "EOF" >> $GITHUB_OUTPUT
+
+ if [ "$scan_failed" = true ]; then
+ echo "::error::VirusTotal scan found issues. Review the results above."
+ exit 1
+ fi
+
+ - name: Dry run summary
+ if: ${{ github.event_name == 'workflow_dispatch' && inputs.dry_run == true }}
+ run: |
+ echo "## Dry Run Complete" >> $GITHUB_STEP_SUMMARY
+ echo "Build artifacts created successfully:" >> $GITHUB_STEP_SUMMARY
+ echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
+ ls -la release-assets/ >> $GITHUB_STEP_SUMMARY
+ echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
+ echo "### Checksums" >> $GITHUB_STEP_SUMMARY
+ echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
+ cat release-assets/checksums.sha256 >> $GITHUB_STEP_SUMMARY
+ echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
+
+ - name: Generate changelog
+ if: ${{ github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && inputs.dry_run != true) }}
+ id: changelog
+ uses: release-drafter/release-drafter@v6
+ with:
+ config-name: release-drafter.yml
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+ - name: Create Release
+ if: ${{ github.event_name == 'push' || (github.event_name == 'workflow_dispatch' && inputs.dry_run != true) }}
+ uses: softprops/action-gh-release@v2
+ with:
+ body: |
+ ${{ steps.changelog.outputs.body }}
+
+ ${{ steps.virustotal.outputs.vt_results }}
+ files: release-assets/*
+ draft: false
+ prerelease: ${{ contains(github.ref, 'beta') || contains(github.ref, 'alpha') }}
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.gitignore b/.gitignore
index 00e27358..0781d8a0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -86,4 +86,4 @@ dev/
_bmad
_bmad-output
-.claude
\ No newline at end of file
+.claude
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6eba8bb9..5ee8b74e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -33,4 +33,5 @@ repos:
- id: trailing-whitespace
- id: end-of-file-fixer
- id: check-yaml
+ exclude: pnpm-lock\.yaml$
- id: check-added-large-files
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 14fbf39e..be1d1334 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -407,7 +407,7 @@
- Restructured SortableFeatureCard badge layout for improved visual presentation
-Bug Fixes:
+Bug Fixes:
- Fixed spec runner path configuration for more reliable task execution
---
@@ -710,4 +710,4 @@ Bug Fixes:
- **Draft Auto-Save**: Task creation state is now automatically saved when you navigate away, preventing accidental loss of work-in-progress.
### Bug Fixes
-- Fixed task editing to support the same comprehensive options available in new task creation
\ No newline at end of file
+- Fixed task editing to support the same comprehensive options available in new task creation
diff --git a/CLAUDE.md b/CLAUDE.md
index 1c40adf7..67a50bca 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -189,12 +189,18 @@ Dual-layer memory architecture:
- Session insights, patterns, gotchas, codebase map
**Graphiti Memory (Optional Enhancement)** - `graphiti_memory.py`
-- Graph database with semantic search (FalkorDB)
+- Graph database with semantic search (LadybugDB - embedded, no Docker)
- Cross-session context retrieval
-- Multi-provider support (V2):
+- Requires Python 3.12+
+- Multi-provider support:
- LLM: OpenAI, Anthropic, Azure OpenAI, Ollama, Google AI (Gemini)
- Embedders: OpenAI, Voyage AI, Azure OpenAI, Ollama, Google AI
+```bash
+# Setup (requires Python 3.12+)
+pip install real_ladybug graphiti-core
+```
+
Enable with: `GRAPHITI_ENABLED=true` + provider credentials. See `.env.example`.
## Project Structure
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 9656ef5c..ff4845ce 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -8,6 +8,7 @@ Thank you for your interest in contributing to Auto Claude! This document provid
- [Development Setup](#development-setup)
- [Python Backend](#python-backend)
- [Electron Frontend](#electron-frontend)
+- [Running from Source](#running-from-source)
- [Pre-commit Hooks](#pre-commit-hooks)
- [Code Style](#code-style)
- [Testing](#testing)
@@ -28,7 +29,6 @@ Before contributing, ensure you have the following installed:
- **pnpm** - Package manager for the frontend (`npm install -g pnpm`)
- **uv** (recommended) or **pip** - Python package manager
- **Git** - Version control
-- **Docker** (optional) - For running FalkorDB if using Graphiti memory
## Development Setup
@@ -80,6 +80,58 @@ pnpm build
pnpm package
```
+## Running from Source
+
+If you want to run Auto Claude from source (for development or testing unreleased features), follow these steps:
+
+### Step 1: Clone and Set Up Python Backend
+
+```bash
+git clone https://github.com/AndyMik90/Auto-Claude.git
+cd Auto-Claude/auto-claude
+
+# Using uv (recommended)
+uv venv && uv pip install -r requirements.txt
+
+# Or using standard Python
+python3 -m venv .venv
+source .venv/bin/activate # On Windows: .venv\Scripts\activate
+pip install -r requirements.txt
+
+# Set up environment
+cp .env.example .env
+# Edit .env and add your CLAUDE_CODE_OAUTH_TOKEN (get it via: claude setup-token)
+```
+
+### Step 2: Run the Desktop UI
+
+```bash
+cd ../auto-claude-ui
+
+# Install dependencies
+pnpm install
+
+# Development mode (hot reload)
+pnpm dev
+
+# Or production build
+pnpm run build && pnpm run start
+```
+
+
+Windows users: If installation fails with node-gyp errors, click here
+
+Auto Claude automatically downloads prebuilt binaries for Windows. If prebuilts aren't available for your Electron version yet, you'll need Visual Studio Build Tools:
+
+1. Download [Visual Studio Build Tools 2022](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
+2. Select "Desktop development with C++" workload
+3. In "Individual Components", add "MSVC v143 - VS 2022 C++ x64/x86 Spectre-mitigated libs"
+4. Restart terminal and run `pnpm install` again
+
+
+
+> **Note:** For regular usage, we recommend downloading the pre-built releases from [GitHub Releases](https://github.com/AndyMik90/Auto-Claude/releases). Running from source is primarily for contributors and those testing unreleased features.
+
## Pre-commit Hooks
We use [pre-commit](https://pre-commit.com/) to run linting and formatting checks before each commit. This ensures code quality and consistency across the project.
diff --git a/README.md b/README.md
index 624e1309..a623c6d7 100644
--- a/README.md
+++ b/README.md
@@ -24,114 +24,57 @@ Your AI coding companion. Build features, fix bugs, and ship faster — with aut
- **Self-Validating**: Built-in QA loop catches issues before you review
- **Isolated Workspaces**: All work happens in git worktrees — your code stays safe
- **AI Merge Resolution**: Intelligent conflict resolution when merging back to main — no manual conflict fixing
-- **Memory Layer**: Agents remember insights across sessions for smarter decisions
- **Cross-Platform**: Desktop app runs on Mac, Windows, and Linux
- **Any Project Type**: Build web apps, APIs, CLIs — works with any software project
-## 🚀 Quick Start (Desktop UI)
+## Quick Start
-The Desktop UI is the recommended way to use Auto Claude. It provides visual task management, real-time progress tracking, and a Kanban board interface.
+### Download Auto Claude
+
+Download the latest release for your platform from [GitHub Releases](https://github.com/AndyMik90/Auto-Claude/releases/latest):
+
+| Platform | Download |
+|----------|----------|
+| **macOS (Apple Silicon M1-M4)** | `Auto-Claude-X.X.X-arm64.dmg` |
+| **macOS (Intel)** | `Auto-Claude-X.X.X-x64.dmg` |
+| **Windows** | `Auto-Claude-X.X.X.exe` |
+| **Linux** | `Auto-Claude-X.X.X.AppImage` or `.deb` |
+
+> **Not sure which Mac?** Click the Apple menu () > "About This Mac". Look for "Chip" - M1/M2/M3/M4 = Apple Silicon, otherwise Intel.
### Prerequisites
-1. **Node.js 18+** - [Download Node.js](https://nodejs.org/)
-2. **Python 3.10+** - [Download Python](https://www.python.org/downloads/)
-3. **Docker Desktop** - Required for the Memory Layer
-4. **Claude Code CLI** - `npm install -g @anthropic-ai/claude-code`
-5. **Claude Subscription** - Requires [Claude Pro or Max](https://claude.ai/upgrade) for Claude Code access
-6. **Git Repository** - Your project must be initialized as a git repository
+Before using Auto Claude, you need:
-### Git Initialization
+1. **Claude Subscription** - Requires [Claude Pro or Max](https://claude.ai/upgrade) for Claude Code access
+2. **Claude Code CLI** - Install with: `npm install -g @anthropic-ai/claude-code`
-**Auto Claude requires a git repository** to create isolated worktrees for safe parallel development. If your project isn't a git repo yet:
+### Install and Run
-```bash
-cd your-project
-git init
-git add .
-git commit -m "Initial commit"
-```
-
-> **Why git?** Auto Claude uses git branches and worktrees to isolate each task in its own workspace, keeping your main branch clean until you're ready to merge. This allows you to work on multiple features simultaneously without conflicts.
-
----
-
-### Installing Docker Desktop
-
-Docker runs the FalkorDB database that powers Auto Claude's cross-session memory.
-
-| Operating System | Download Link |
-|------------------|---------------|
-| **Mac (Apple Silicon M1/M2/M3/M4)** | [Download for Apple Chip](https://desktop.docker.com/mac/main/arm64/Docker.dmg) |
-| **Mac (Intel)** | [Download for Intel Chip](https://desktop.docker.com/mac/main/amd64/Docker.dmg) |
-| **Windows** | [Download for Windows](https://desktop.docker.com/win/main/amd64/Docker%20Desktop%20Installer.exe) |
-| **Linux** | [Installation Guide](https://docs.docker.com/desktop/install/linux-install/) |
-
-> **Not sure which Mac?** Click the Apple menu (🍎) → "About This Mac". Look for "Chip" - M1/M2/M3/M4 = Apple Silicon, otherwise Intel.
-
-**After installing:** Open Docker Desktop and wait for the whale icon (🐳) to appear in your menu bar/system tray.
-
-> **Using the Desktop UI?** It automatically detects Docker status and offers one-click FalkorDB setup. No terminal commands needed!
-
-📚 **For detailed installation steps, troubleshooting, and advanced configuration, see [guides/DOCKER-SETUP.md](guides/DOCKER-SETUP.md)**
-
----
-
-### Step 1: Set Up the Python Backend
-
-The Desktop UI runs Python scripts behind the scenes. Set up the Python environment:
-
-```bash
-cd auto-claude
-
-# Using uv (recommended)
-uv venv && uv pip install -r requirements.txt
-
-# Or using standard Python
-python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
-```
-
-### Step 2: Start the Memory Layer
-
-The Auto Claude Memory Layer provides cross-session context retention using a graph database:
-
-```bash
-# Make sure Docker Desktop is running, then:
-docker-compose up -d falkordb
-```
-
-### Step 3: Install and Launch the Desktop UI
-
-```bash
-cd auto-claude-ui
-
-# Install dependencies (pnpm recommended, npm works too)
-pnpm install
-# or: npm install
-
-# Build and start the application
-pnpm run build && pnpm run start
-# or: npm run build && npm run start
-```
+1. **Download** the installer for your platform from the table above
+2. **Install**:
+ - **macOS**: Open the `.dmg`, drag Auto Claude to Applications
+ - **Windows**: Run the `.exe` installer (see note below about security warning)
+ - **Linux**: Make the AppImage executable (`chmod +x`) and run it, or install the `.deb`
+3. **Launch** Auto Claude
+4. **Add your project** and start building!
-Windows users: If installation fails with node-gyp errors, click here
+Windows users: Security warning when installing
-Auto Claude automatically downloads prebuilt binaries for Windows. If prebuilts aren't available for your Electron version yet, you'll need Visual Studio Build Tools:
+The Windows installer is not yet code-signed, so you may see a "Windows protected your PC" warning from Microsoft Defender SmartScreen.
-1. Download [Visual Studio Build Tools 2022](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
-2. Select "Desktop development with C++" workload
-3. In "Individual Components", add "MSVC v143 - VS 2022 C++ x64/x86 Spectre-mitigated libs"
-4. Restart terminal and run `npm install` again
+**To proceed:**
+1. Click "More info"
+2. Click "Run anyway"
+
+This is safe — all releases are automatically scanned with VirusTotal before publishing. You can verify any installer by checking the **VirusTotal Scan Results** section in each [release's notes](https://github.com/AndyMik90/Auto-Claude/releases).
+
+We're working on obtaining a code signing certificate for future releases.
-### Step 4: Start Building
-
-1. Add your project in the UI
-2. Create a new task describing what you want to build
-3. Watch as Auto Claude creates a spec, plans, and implements your feature
-4. Review changes and merge when satisfied
+> **Want to build from source?** See [CONTRIBUTING.md](CONTRIBUTING.md#running-from-source) for development setup.
---
@@ -241,23 +184,6 @@ Three-layer defense keeps your code safe:
- **Filesystem Restrictions** — Operations limited to project directory
- **Command Allowlist** — Only approved commands based on your project's stack
-### 🧠 Memory Layer
-
-The Memory Layer is a **hybrid RAG system** combining graph nodes with semantic search to deliver the best possible context during AI coding. Agents remember insights from previous sessions, discovered codebase patterns persist and are reusable, and historical context helps agents make smarter decisions.
-
-**Architecture:**
-- **Backend**: FalkorDB (graph database) via Docker
-- **Library**: Graphiti for knowledge graph operations
-- **Providers**: OpenAI, Anthropic, Azure OpenAI, Google AI, or Ollama (local/offline)
-
-| Setup | LLM | Embeddings | Notes |
-|-------|-----|------------|-------|
-| **OpenAI** | OpenAI | OpenAI | Simplest - single API key |
-| **Anthropic + Voyage** | Anthropic | Voyage AI | High quality |
-| **Google AI** | Gemini | Google | Single API key, fast inference |
-| **Ollama** | Ollama | Ollama | Fully offline |
-| **Azure** | Azure OpenAI | Azure OpenAI | Enterprise |
-
## Project Structure
```
@@ -273,9 +199,8 @@ your-project/
│ ├── spec_runner.py # Spec creation orchestrator
│ ├── prompts/ # Agent prompt templates
│ └── ...
-├── auto-claude-ui/ # Electron desktop application
-│ └── ...
-└── docker-compose.yml # FalkorDB for Memory Layer
+└── auto-claude-ui/ # Electron desktop application
+ └── ...
```
### Understanding the Folders
@@ -309,13 +234,6 @@ The `.auto-claude/` directory is gitignored and project-specific - you'll have o
|----------|----------|-------------|
| `CLAUDE_CODE_OAUTH_TOKEN` | Yes | OAuth token from `claude setup-token` |
| `AUTO_BUILD_MODEL` | No | Model override (default: claude-opus-4-5-20251101) |
-| `GRAPHITI_ENABLED` | Recommended | Set to `true` to enable Memory Layer |
-| `GRAPHITI_LLM_PROVIDER` | For Memory | LLM provider: openai, anthropic, azure_openai, ollama, google |
-| `GRAPHITI_EMBEDDER_PROVIDER` | For Memory | Embedder: openai, voyage, azure_openai, ollama, google |
-| `OPENAI_API_KEY` | For OpenAI | Required for OpenAI provider |
-| `ANTHROPIC_API_KEY` | For Anthropic | Required for Anthropic LLM |
-| `VOYAGE_API_KEY` | For Voyage | Required for Voyage embeddings |
-| `GOOGLE_API_KEY` | For Google | Required for Google AI (Gemini) provider |
See `auto-claude/.env.example` for complete configuration options.
diff --git a/agpl-3.0.txt b/agpl-3.0.txt
index bae94e18..be3f7b28 100644
--- a/agpl-3.0.txt
+++ b/agpl-3.0.txt
@@ -658,4 +658,4 @@ specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
- .
\ No newline at end of file
+ .
diff --git a/auto-claude-ui/design.json b/auto-claude-ui/design.json
index 7ff4e4cf..5ee7666f 100644
--- a/auto-claude-ui/design.json
+++ b/auto-claude-ui/design.json
@@ -63,10 +63,10 @@
"id": "default",
"name": "Default",
"description": "Oscura Midnight - deepest dark with saturated yellow accent, inspired by Fey/Oscura",
- "previewColors": {
- "lightBg": "#F2F2ED",
+ "previewColors": {
+ "lightBg": "#F2F2ED",
"lightAccent": "#A5A66A",
- "darkBg": "#0B0B0F",
+ "darkBg": "#0B0B0F",
"darkAccent": "#D6D876"
},
"semanticColors": {
@@ -81,10 +81,10 @@
"id": "dusk",
"name": "Dusk",
"description": "Warmer Oscura variant with slightly lighter dark mode",
- "previewColors": {
- "lightBg": "#F5F5F0",
+ "previewColors": {
+ "lightBg": "#F5F5F0",
"lightAccent": "#B8B978",
- "darkBg": "#131419",
+ "darkBg": "#131419",
"darkAccent": "#E6E7A3"
},
"semanticColors": {
@@ -99,50 +99,50 @@
"id": "lime",
"name": "Lime",
"description": "Fresh, energetic lime/chartreuse with purple accents",
- "previewColors": {
- "lightBg": "#E8F5A3",
- "darkBg": "#0F0F1A",
- "accent": "#7C3AED"
+ "previewColors": {
+ "lightBg": "#E8F5A3",
+ "darkBg": "#0F0F1A",
+ "accent": "#7C3AED"
}
},
{
"id": "ocean",
- "name": "Ocean",
+ "name": "Ocean",
"description": "Calm, professional blue tones",
- "previewColors": {
- "lightBg": "#E0F2FE",
- "darkBg": "#082F49",
- "accent": "#0284C7"
+ "previewColors": {
+ "lightBg": "#E0F2FE",
+ "darkBg": "#082F49",
+ "accent": "#0284C7"
}
},
{
"id": "retro",
"name": "Retro",
"description": "Warm, nostalgic amber/orange vibes",
- "previewColors": {
- "lightBg": "#FEF3C7",
- "darkBg": "#1C1917",
- "accent": "#D97706"
+ "previewColors": {
+ "lightBg": "#FEF3C7",
+ "darkBg": "#1C1917",
+ "accent": "#D97706"
}
},
{
"id": "neo",
"name": "Neo",
"description": "Modern cyberpunk pink/magenta",
- "previewColors": {
- "lightBg": "#FDF4FF",
- "darkBg": "#0F0720",
- "accent": "#D946EF"
+ "previewColors": {
+ "lightBg": "#FDF4FF",
+ "darkBg": "#0F0720",
+ "accent": "#D946EF"
}
},
{
"id": "forest",
"name": "Forest",
"description": "Natural, earthy green tones",
- "previewColors": {
- "lightBg": "#DCFCE7",
- "darkBg": "#052E16",
- "accent": "#16A34A"
+ "previewColors": {
+ "lightBg": "#DCFCE7",
+ "darkBg": "#052E16",
+ "accent": "#16A34A"
}
}
],
@@ -152,7 +152,7 @@
"colors": {
"note": "These are the Default theme colors (Oscura Midnight). See themeSystem for all available themes.",
"cssVariablePrefix": "--color-",
-
+
"lightMode": {
"background": {
"primary": "#F2F2ED",
@@ -186,7 +186,7 @@
"focus": "#A5A66A"
}
},
-
+
"darkMode": {
"background": {
"primary": "#0B0B0F",
@@ -223,7 +223,7 @@
"focus": "#D6D876"
}
},
-
+
"semantic": {
"success": "#4EBE96",
"successLight": { "light": "#E0F5ED", "dark": "#1A2924" },
@@ -238,7 +238,7 @@
"infoLight": { "light": "#E8F4FF", "dark": "#1A2230" },
"infoDescription": "Blue - for links and informational elements"
},
-
+
"shadows": {
"lightMode": {
"sm": "0 1px 2px 0 rgba(0, 0, 0, 0.05)",
@@ -511,30 +511,30 @@
"fontWeight": "500"
},
"variants": {
- "default": {
- "background": "var(--color-background-secondary)",
- "text": "var(--color-text-secondary)"
+ "default": {
+ "background": "var(--color-background-secondary)",
+ "text": "var(--color-text-secondary)"
},
- "primary": {
- "background": "var(--color-accent-primary-light)",
- "text": "var(--color-accent-primary)"
+ "primary": {
+ "background": "var(--color-accent-primary-light)",
+ "text": "var(--color-accent-primary)"
},
- "success": {
- "background": "var(--color-semantic-success-light)",
- "text": "var(--color-semantic-success)"
+ "success": {
+ "background": "var(--color-semantic-success-light)",
+ "text": "var(--color-semantic-success)"
},
- "warning": {
- "background": "var(--color-semantic-warning-light)",
- "text": "var(--color-semantic-warning)"
+ "warning": {
+ "background": "var(--color-semantic-warning-light)",
+ "text": "var(--color-semantic-warning)"
},
- "error": {
- "background": "var(--color-semantic-error-light)",
- "text": "var(--color-semantic-error)"
+ "error": {
+ "background": "var(--color-semantic-error-light)",
+ "text": "var(--color-semantic-error)"
},
- "outline": {
- "background": "transparent",
- "border": "1px solid var(--color-border-default)",
- "text": "var(--color-text-secondary)"
+ "outline": {
+ "background": "transparent",
+ "border": "1px solid var(--color-border-default)",
+ "text": "var(--color-text-secondary)"
}
}
},
@@ -616,10 +616,10 @@
"description": "Date picker grid with clear day cells and selection states.",
"styling": {
"dayCell": { "size": "36px", "borderRadius": "md (8px)" },
- "selectedDay": {
- "background": "var(--color-accent-primary)",
- "text": "var(--color-text-inverse)",
- "borderRadius": "full"
+ "selectedDay": {
+ "background": "var(--color-accent-primary)",
+ "text": "var(--color-text-inverse)",
+ "borderRadius": "full"
},
"todayIndicator": "var(--color-accent-primary) text color or dot",
"rangeSelection": "var(--color-accent-primary-light) background for range days"
@@ -634,14 +634,14 @@
"thumbSize": "20px"
},
"styling": {
- "off": {
- "track": "var(--color-border-default)",
+ "off": {
+ "track": "var(--color-border-default)",
"lightTrack": "#DEDED9",
"darkTrack": "#232323",
- "thumb": "white"
+ "thumb": "white"
},
- "on": {
- "track": "var(--color-accent-primary)",
+ "on": {
+ "track": "var(--color-accent-primary)",
"lightTrack": "#A5A66A",
"darkTrack": "#D6D876",
"thumb": "var(--color-text-inverse)",
@@ -895,7 +895,7 @@
"cssVariableMap": {
"backgrounds": [
"--color-background-primary",
- "--color-background-secondary",
+ "--color-background-secondary",
"--color-background-neutral"
],
"surfaces": [
diff --git a/auto-claude-ui/electron.vite.config.ts b/auto-claude-ui/electron.vite.config.ts
index 968c7fc3..846638fc 100644
--- a/auto-claude-ui/electron.vite.config.ts
+++ b/auto-claude-ui/electron.vite.config.ts
@@ -9,7 +9,7 @@ export default defineConfig({
exclude: [
'uuid',
'chokidar',
- 'ioredis',
+ 'kuzu',
'electron-updater',
'@electron-toolkit/utils'
]
diff --git a/auto-claude-ui/package-lock.json b/auto-claude-ui/package-lock.json
index 3569443e..422a26cc 100644
--- a/auto-claude-ui/package-lock.json
+++ b/auto-claude-ui/package-lock.json
@@ -13,6 +13,7 @@
"@dnd-kit/core": "^6.3.1",
"@dnd-kit/sortable": "^10.0.0",
"@dnd-kit/utilities": "^3.2.2",
+ "@lydell/node-pty": "^1.1.0",
"@radix-ui/react-alert-dialog": "^1.1.15",
"@radix-ui/react-checkbox": "^1.1.4",
"@radix-ui/react-collapsible": "^1.1.3",
@@ -39,10 +40,9 @@
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"electron-updater": "^6.6.2",
- "ioredis": "^5.8.2",
+ "kuzu": "^0.8.2",
"lucide-react": "^0.560.0",
"motion": "^12.23.26",
- "node-pty": "^1.1.0-beta42",
"react": "^19.2.3",
"react-dom": "^19.2.3",
"react-markdown": "^10.1.0",
@@ -60,7 +60,6 @@
"@playwright/test": "^1.52.0",
"@tailwindcss/postcss": "^4.1.17",
"@testing-library/react": "^16.1.0",
- "@types/ioredis": "^4.28.10",
"@types/node": "^25.0.0",
"@types/react": "^19.2.7",
"@types/react-dom": "^19.2.3",
@@ -1745,12 +1744,6 @@
"url": "https://github.com/sponsors/nzakas"
}
},
- "node_modules/@ioredis/commands": {
- "version": "1.4.0",
- "resolved": "https://registry.npmjs.org/@ioredis/commands/-/commands-1.4.0.tgz",
- "integrity": "sha512-aFT2yemJJo+TZCmieA7qnYGQooOS7QfNmYrzGtsYd3g9j5iDP8AimYYAesf79ohjbLG12XxC4nG5DyEnC88AsQ==",
- "license": "MIT"
- },
"node_modules/@isaacs/balanced-match": {
"version": "4.0.1",
"resolved": "https://registry.npmjs.org/@isaacs/balanced-match/-/balanced-match-4.0.1.tgz",
@@ -1927,6 +1920,98 @@
"@jridgewell/sourcemap-codec": "^1.4.14"
}
},
+ "node_modules/@lydell/node-pty": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty/-/node-pty-1.1.0.tgz",
+ "integrity": "sha512-VDD8LtlMTOrPKWMXUAcB9+LTktzuunqrMwkYR1DMRBkS6LQrCt+0/Ws1o2rMml/n3guePpS7cxhHF7Nm5K4iMw==",
+ "license": "MIT",
+ "optionalDependencies": {
+ "@lydell/node-pty-darwin-arm64": "1.1.0",
+ "@lydell/node-pty-darwin-x64": "1.1.0",
+ "@lydell/node-pty-linux-arm64": "1.1.0",
+ "@lydell/node-pty-linux-x64": "1.1.0",
+ "@lydell/node-pty-win32-arm64": "1.1.0",
+ "@lydell/node-pty-win32-x64": "1.1.0"
+ }
+ },
+ "node_modules/@lydell/node-pty-darwin-arm64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-darwin-arm64/-/node-pty-darwin-arm64-1.1.0.tgz",
+ "integrity": "sha512-7kFD+owAA61qmhJCtoMbqj3Uvff3YHDiU+4on5F2vQdcMI3MuwGi7dM6MkFG/yuzpw8LF2xULpL71tOPUfxs0w==",
+ "cpu": [
+ "arm64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "darwin"
+ ]
+ },
+ "node_modules/@lydell/node-pty-darwin-x64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-darwin-x64/-/node-pty-darwin-x64-1.1.0.tgz",
+ "integrity": "sha512-XZdvqj5FjAMjH8bdp0YfaZjur5DrCIDD1VYiE9EkkYVMDQqRUPHYV3U8BVEQVT9hYfjmpr7dNaELF2KyISWSNA==",
+ "cpu": [
+ "x64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "darwin"
+ ]
+ },
+ "node_modules/@lydell/node-pty-linux-arm64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-linux-arm64/-/node-pty-linux-arm64-1.1.0.tgz",
+ "integrity": "sha512-yyDBmalCfHpLiQMT2zyLcqL2Fay4Xy7rIs8GH4dqKLnEviMvPGOK7LADVkKAsbsyXBSISL3Lt1m1MtxhPH6ckg==",
+ "cpu": [
+ "arm64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "linux"
+ ]
+ },
+ "node_modules/@lydell/node-pty-linux-x64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-linux-x64/-/node-pty-linux-x64-1.1.0.tgz",
+ "integrity": "sha512-NcNqRTD14QT+vXcEuqSSvmWY+0+WUBn2uRE8EN0zKtDpIEr9d+YiFj16Uqds6QfcLCHfZmC+Ls7YzwTaqDnanA==",
+ "cpu": [
+ "x64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "linux"
+ ]
+ },
+ "node_modules/@lydell/node-pty-win32-arm64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-win32-arm64/-/node-pty-win32-arm64-1.1.0.tgz",
+ "integrity": "sha512-JOMbCou+0fA7d/m97faIIfIU0jOv8sn2OR7tI45u3AmldKoKoLP8zHY6SAvDDnI3fccO1R2HeR1doVjpS7HM0w==",
+ "cpu": [
+ "arm64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "win32"
+ ]
+ },
+ "node_modules/@lydell/node-pty-win32-x64": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@lydell/node-pty-win32-x64/-/node-pty-win32-x64-1.1.0.tgz",
+ "integrity": "sha512-3N56BZ+WDFnUMYRtsrr7Ky2mhWGl9xXcyqR6cexfuCqcz9RNWL+KoXRv/nZylY5dYaXkft4JaR1uVu+roiZDAw==",
+ "cpu": [
+ "x64"
+ ],
+ "license": "MIT",
+ "optional": true,
+ "os": [
+ "win32"
+ ]
+ },
"node_modules/@malept/cross-spawn-promise": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/@malept/cross-spawn-promise/-/cross-spawn-promise-2.0.0.tgz",
@@ -4057,16 +4142,6 @@
"dev": true,
"license": "MIT"
},
- "node_modules/@types/ioredis": {
- "version": "4.28.10",
- "resolved": "https://registry.npmjs.org/@types/ioredis/-/ioredis-4.28.10.tgz",
- "integrity": "sha512-69LyhUgrXdgcNDv7ogs1qXZomnfOEnSmrmMFqKgt1XMJxmoOSG/u3wYy13yACIfKuMJ8IhKgHafDO3sx19zVQQ==",
- "dev": true,
- "license": "MIT",
- "dependencies": {
- "@types/node": "*"
- }
- },
"node_modules/@types/json-schema": {
"version": "7.0.15",
"resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz",
@@ -4749,7 +4824,6 @@
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
- "dev": true,
"license": "MIT",
"engines": {
"node": ">=8"
@@ -4759,7 +4833,6 @@
"version": "4.3.0",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
"integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
- "dev": true,
"license": "MIT",
"dependencies": {
"color-convert": "^2.0.1"
@@ -4856,6 +4929,26 @@
"node": ">=12.13.0"
}
},
+ "node_modules/aproba": {
+ "version": "2.1.0",
+ "resolved": "https://registry.npmjs.org/aproba/-/aproba-2.1.0.tgz",
+ "integrity": "sha512-tLIEcj5GuR2RSTnxNKdkK0dJ/GrC7P38sUkiDmDuHfsHmbagTFAxDVIBltoklXEVIQ/f14IL8IMJ5pn9Hez1Ew==",
+ "license": "ISC"
+ },
+ "node_modules/are-we-there-yet": {
+ "version": "3.0.1",
+ "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-3.0.1.tgz",
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"license": "ISC",
"dependencies": {
"isexe": "^2.0.0"
@@ -15032,6 +15204,15 @@
"node": ">=8"
}
},
+ "node_modules/wide-align": {
+ "version": "1.1.5",
+ "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
+ "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
+ "license": "ISC",
+ "dependencies": {
+ "string-width": "^1.0.2 || 2 || 3 || 4"
+ }
+ },
"node_modules/word-wrap": {
"version": "1.2.5",
"resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
@@ -15046,7 +15227,6 @@
"version": "7.0.0",
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
"integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
- "dev": true,
"license": "MIT",
"dependencies": {
"ansi-styles": "^4.0.0",
@@ -15139,7 +15319,6 @@
"version": "5.0.8",
"resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
"integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
- "dev": true,
"license": "ISC",
"engines": {
"node": ">=10"
@@ -15172,7 +15351,6 @@
"version": "17.7.2",
"resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
"integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
- "dev": true,
"license": "MIT",
"dependencies": {
"cliui": "^8.0.1",
@@ -15191,7 +15369,6 @@
"version": "21.1.1",
"resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
"integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
- "dev": true,
"license": "ISC",
"engines": {
"node": ">=12"
diff --git a/auto-claude-ui/package.json b/auto-claude-ui/package.json
index fee134ea..1712d550 100644
--- a/auto-claude-ui/package.json
+++ b/auto-claude-ui/package.json
@@ -2,8 +2,16 @@
"name": "auto-claude-ui",
"version": "2.6.5",
"description": "Desktop UI for Auto Claude autonomous coding framework",
+ "homepage": "https://github.com/AndyMik90/Auto-Claude",
+ "repository": {
+ "type": "git",
+ "url": "https://github.com/AndyMik90/Auto-Claude.git"
+ },
"main": "./out/main/index.js",
- "author": "Auto Claude Team",
+ "author": {
+ "name": "Auto Claude Team",
+ "email": "119136210+AndyMik90@users.noreply.github.com"
+ },
"license": "AGPL-3.0",
"scripts": {
"postinstall": "node scripts/postinstall.js",
@@ -59,7 +67,6 @@
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"electron-updater": "^6.6.2",
- "ioredis": "^5.8.2",
"lucide-react": "^0.560.0",
"motion": "^12.23.26",
"react": "^19.2.3",
@@ -79,7 +86,6 @@
"@playwright/test": "^1.52.0",
"@tailwindcss/postcss": "^4.1.17",
"@testing-library/react": "^16.1.0",
- "@types/ioredis": "^4.28.10",
"@types/node": "^25.0.0",
"@types/react": "^19.2.7",
"@types/react-dom": "^19.2.3",
@@ -110,6 +116,7 @@
"node-pty": "npm:@lydell/node-pty@^1.1.0"
},
"onlyBuiltDependencies": [
+ "@lydell/node-pty",
"electron",
"electron-winstaller",
"esbuild"
@@ -118,6 +125,7 @@
"build": {
"appId": "com.autoclaude.ui",
"productName": "Auto-Claude",
+ "artifactName": "${productName}-${version}-${platform}-${arch}.${ext}",
"publish": [
{
"provider": "github",
@@ -151,13 +159,23 @@
"!**/*.pyc",
"!**/specs",
"!**/.venv",
- "!**/.env"
+ "!**/.venv-*",
+ "!**/venv",
+ "!**/.env",
+ "!**/tests",
+ "!**/*.egg-info",
+ "!**/.pytest_cache",
+ "!**/.mypy_cache"
]
}
],
"mac": {
"category": "public.app-category.developer-tools",
"icon": "resources/icon.icns",
+ "hardenedRuntime": true,
+ "gatekeeperAssess": false,
+ "entitlements": "resources/entitlements.mac.plist",
+ "entitlementsInherit": "resources/entitlements.mac.plist",
"target": [
"dmg",
"zip"
diff --git a/auto-claude-ui/pnpm-lock.yaml b/auto-claude-ui/pnpm-lock.yaml
index 15f36c96..808e9cb7 100644
--- a/auto-claude-ui/pnpm-lock.yaml
+++ b/auto-claude-ui/pnpm-lock.yaml
@@ -103,9 +103,6 @@ importers:
electron-updater:
specifier: ^6.6.2
version: 6.6.2
- ioredis:
- specifier: ^5.8.2
- version: 5.8.2
lucide-react:
specifier: ^0.560.0
version: 0.560.0(react@19.2.3)
@@ -158,9 +155,6 @@ importers:
'@testing-library/react':
specifier: ^16.1.0
version: 16.3.1(@testing-library/dom@10.4.1)(@types/react-dom@19.2.3(@types/react@19.2.7))(@types/react@19.2.7)(react-dom@19.2.3(react@19.2.3))(react@19.2.3)
- '@types/ioredis':
- specifier: ^4.28.10
- version: 4.28.10
'@types/node':
specifier: ^25.0.0
version: 25.0.3
@@ -833,9 +827,6 @@ packages:
resolution: {integrity: sha512-bV0Tgo9K4hfPCek+aMAn81RppFKv2ySDQeMoSZuvTASywNTnVJCArCZE2FWqpvIatKu7VMRLWlR1EazvVhDyhQ==}
engines: {node: '>=18.18'}
- '@ioredis/commands@1.4.0':
- resolution: {integrity: sha512-aFT2yemJJo+TZCmieA7qnYGQooOS7QfNmYrzGtsYd3g9j5iDP8AimYYAesf79ohjbLG12XxC4nG5DyEnC88AsQ==}
-
'@isaacs/balanced-match@4.0.1':
resolution: {integrity: sha512-yzMTt9lEb8Gv7zRioUilSglI0c0smZ9k5D65677DLWLtWJaXIS3CqcGyUFByYKlnUj6TkjLVs54fBl6+TiGQDQ==}
engines: {node: 20 || >=22}
@@ -1705,9 +1696,6 @@ packages:
'@types/http-cache-semantics@4.0.4':
resolution: {integrity: sha512-1m0bIFVc7eJWyve9S0RnuRgcQqF/Xd5QsUZAZeQFr1Q3/p9JWoQQEqmVy+DPTNpGXwhgIetAoYF8JSc33q29QA==}
- '@types/ioredis@4.28.10':
- resolution: {integrity: sha512-69LyhUgrXdgcNDv7ogs1qXZomnfOEnSmrmMFqKgt1XMJxmoOSG/u3wYy13yACIfKuMJ8IhKgHafDO3sx19zVQQ==}
-
'@types/json-schema@7.0.15':
resolution: {integrity: sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==}
@@ -2195,10 +2183,6 @@ packages:
resolution: {integrity: sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==}
engines: {node: '>=6'}
- cluster-key-slot@1.1.2:
- resolution: {integrity: sha512-RMr0FhtfXemyinomL4hrWcYJxmX6deFdCxpJzhDttxgO1+bcCnkk+9drydLVDmAMG7NE6aN/fl4F7ucU/90gAA==}
- engines: {node: '>=0.10.0'}
-
color-convert@2.0.1:
resolution: {integrity: sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==}
engines: {node: '>=7.0.0'}
@@ -2323,10 +2307,6 @@ packages:
resolution: {integrity: sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==}
engines: {node: '>=0.4.0'}
- denque@2.1.0:
- resolution: {integrity: sha512-HVQE3AAb/pxF8fQAoiqpvg9i3evqug3hoiwakOyZAwJm+6vZehbkYXZ0l4JxS+I3QxM97v5aaRNhj8v5oBhekw==}
- engines: {node: '>=0.10'}
-
dequal@2.0.3:
resolution: {integrity: sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==}
engines: {node: '>=6'}
@@ -2925,10 +2905,6 @@ packages:
resolution: {integrity: sha512-4gd7VpWNQNB4UKKCFFVcp1AVv+FMOgs9NKzjHKusc8jTMhd5eL1NqQqOpE0KzMds804/yHlglp3uxgluOqAPLw==}
engines: {node: '>= 0.4'}
- ioredis@5.8.2:
- resolution: {integrity: sha512-C6uC+kleiIMmjViJINWk80sOQw5lEzse1ZmvD+S/s8p8CWapftSaC+kocGTx6xrbrJ4WmYQGC08ffHLr6ToR6Q==}
- engines: {node: '>=12.22.0'}
-
ip-address@10.1.0:
resolution: {integrity: sha512-XXADHxXmvT9+CRxhXg56LJovE+bmWnEWB78LB83VZTprKTmaC5QfruXocxzTZ2Kl0DNwKuBdlIhjL8LeY8Sf8Q==}
engines: {node: '>= 12'}
@@ -3246,15 +3222,9 @@ packages:
resolution: {integrity: sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw==}
engines: {node: '>=10'}
- lodash.defaults@4.2.0:
- resolution: {integrity: sha512-qjxPLHd3r5DnsdGacqOMU6pb/avJzdh9tFX2ymgoZE27BmjXrNy/y4LoaiTeAb+O3gL8AfpJGtqfX/ae2leYYQ==}
-
lodash.escaperegexp@4.1.2:
resolution: {integrity: sha512-TM9YBvyC84ZxE3rgfefxUWiQKLilstD6k7PTGt6wfbtXF8ixIJLOL3VYyV/z+ZiPLsVxAsKAFVwWlWeb2Y8Yyw==}
- lodash.isarguments@3.1.0:
- resolution: {integrity: sha512-chi4NHZlZqZD18a0imDHnZPrDeBbTtVN7GXMwuGdRH9qotxAjYs3aVLKc7zNOG9eddR5Ksd8rvFEBc9SsggPpg==}
-
lodash.isequal@4.5.0:
resolution: {integrity: sha512-pDo3lu8Jhfjqls6GkMgpahsF9kCyayhgykjyLMNFTKWrpVdAQtYyB4muAMWozBB4ig/dtWAmsMxLEI8wuz+DYQ==}
deprecated: This package is deprecated. Use require('node:util').isDeepStrictEqual instead.
@@ -3894,14 +3864,6 @@ packages:
resolution: {integrity: sha512-9u/XQ1pvrQtYyMpZe7DXKv2p5CNvyVwzUB6uhLAnQwHMSgKMBR62lc7AHljaeteeHXn11XTAaLLUVZYVZyuRBQ==}
engines: {node: '>= 20.19.0'}
- redis-errors@1.2.0:
- resolution: {integrity: sha512-1qny3OExCf0UvUV/5wpYKf2YwPcOqXzkwKKSmKHiE6ZMQs5heeE/c8eXK+PNllPvmjgAbfnsbpkGZWy8cBpn9w==}
- engines: {node: '>=4'}
-
- redis-parser@3.0.0:
- resolution: {integrity: sha512-DJnGAeenTdpMEH6uAJRK/uiyEIH9WVsUmoLwzudwGJUwZPp80PDBWPHXSAGNPwNvIXAbe7MSUB1zQFugFml66A==}
- engines: {node: '>=4'}
-
reflect.getprototypeof@1.0.10:
resolution: {integrity: sha512-00o4I+DVrefhv+nX0ulyi3biSHCPDe+yLv5o/p6d/UVlirijB8E16FtfwSAi4g3tcqrQ4lRAqQSoFEZJehYEcw==}
engines: {node: '>= 0.4'}
@@ -4126,9 +4088,6 @@ packages:
stackback@0.0.2:
resolution: {integrity: sha512-1XMJE5fQo1jGH6Y/7ebnwPOBEkIEnT4QF32d5R1+VXdXveM0IBMJt8zfaxX1P3QhVwrYe+576+jkANtSS2mBbw==}
- standard-as-callback@2.1.0:
- resolution: {integrity: sha512-qoRRSyROncaz1z0mvYqIE4lCd9p2R90i6GxW3uZv5ucSu8tU7B5HXUP1gG8pVZsYNVaXjk8ClXHPttLyxAL48A==}
-
stat-mode@1.0.0:
resolution: {integrity: sha512-jH9EhtKIjuXZ2cWxmXS8ZP80XyC3iasQxMDV8jzhNJpfDb7VbQLVW4Wvsxz9QZvzV+G4YoSfBUVKDOyxLzi/sg==}
engines: {node: '>= 6'}
@@ -5211,8 +5170,6 @@ snapshots:
'@humanwhocodes/retry@0.4.3': {}
- '@ioredis/commands@1.4.0': {}
-
'@isaacs/balanced-match@4.0.1': {}
'@isaacs/brace-expansion@5.0.0':
@@ -6043,10 +6000,6 @@ snapshots:
'@types/http-cache-semantics@4.0.4': {}
- '@types/ioredis@4.28.10':
- dependencies:
- '@types/node': 25.0.3
-
'@types/json-schema@7.0.15': {}
'@types/keyv@3.1.4':
@@ -6658,8 +6611,6 @@ snapshots:
clsx@2.1.1: {}
- cluster-key-slot@1.1.2: {}
-
color-convert@2.0.1:
dependencies:
color-name: 1.1.4
@@ -6777,8 +6728,6 @@ snapshots:
delayed-stream@1.0.0: {}
- denque@2.1.0: {}
-
dequal@2.0.3: {}
detect-libc@2.1.2: {}
@@ -7634,20 +7583,6 @@ snapshots:
hasown: 2.0.2
side-channel: 1.1.0
- ioredis@5.8.2:
- dependencies:
- '@ioredis/commands': 1.4.0
- cluster-key-slot: 1.1.2
- debug: 4.4.3
- denque: 2.1.0
- lodash.defaults: 4.2.0
- lodash.isarguments: 3.1.0
- redis-errors: 1.2.0
- redis-parser: 3.0.0
- standard-as-callback: 2.1.0
- transitivePeerDependencies:
- - supports-color
-
ip-address@10.1.0: {}
is-alphabetical@2.0.1: {}
@@ -7966,12 +7901,8 @@ snapshots:
dependencies:
p-locate: 5.0.0
- lodash.defaults@4.2.0: {}
-
lodash.escaperegexp@4.1.2: {}
- lodash.isarguments@3.1.0: {}
-
lodash.isequal@4.5.0: {}
lodash.merge@4.6.2: {}
@@ -8808,12 +8739,6 @@ snapshots:
readdirp@5.0.0: {}
- redis-errors@1.2.0: {}
-
- redis-parser@3.0.0:
- dependencies:
- redis-errors: 1.2.0
-
reflect.getprototypeof@1.0.10:
dependencies:
call-bind: 1.0.8
@@ -9112,8 +9037,6 @@ snapshots:
stackback@0.0.2: {}
- standard-as-callback@2.1.0: {}
-
stat-mode@1.0.0: {}
std-env@3.10.0: {}
diff --git a/auto-claude-ui/resources/entitlements.mac.plist b/auto-claude-ui/resources/entitlements.mac.plist
new file mode 100644
index 00000000..191578bc
--- /dev/null
+++ b/auto-claude-ui/resources/entitlements.mac.plist
@@ -0,0 +1,24 @@
+
+
+
+
+
+ com.apple.security.cs.allow-jit
+
+
+ com.apple.security.cs.allow-unsigned-executable-memory
+
+
+ com.apple.security.cs.disable-library-validation
+
+
+ com.apple.security.cs.allow-dyld-environment-variables
+
+
+ com.apple.security.network.client
+
+
+ com.apple.security.files.user-selected.read-write
+
+
+
diff --git a/auto-claude-ui/src/__tests__/setup.ts b/auto-claude-ui/src/__tests__/setup.ts
index 9129c5e9..34f7a646 100644
--- a/auto-claude-ui/src/__tests__/setup.ts
+++ b/auto-claude-ui/src/__tests__/setup.ts
@@ -5,11 +5,37 @@ import { vi, beforeEach, afterEach } from 'vitest';
import { mkdirSync, rmSync, existsSync } from 'fs';
import path from 'path';
+// Mock localStorage for tests that need it
+const localStorageMock = (() => {
+ let store: Record = {};
+
+ return {
+ getItem: vi.fn((key: string) => store[key] || null),
+ setItem: vi.fn((key: string, value: string) => {
+ store[key] = value;
+ }),
+ removeItem: vi.fn((key: string) => {
+ delete store[key];
+ }),
+ clear: vi.fn(() => {
+ store = {};
+ })
+ };
+})();
+
+// Make localStorage available globally
+Object.defineProperty(global, 'localStorage', {
+ value: localStorageMock
+});
+
// Test data directory for isolated file operations
export const TEST_DATA_DIR = '/tmp/auto-claude-ui-tests';
// Create fresh test directory before each test
beforeEach(() => {
+ // Clear localStorage
+ localStorageMock.clear();
+
// Use a unique subdirectory per test to avoid race conditions in parallel tests
const testId = `test-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
const _testDir = path.join(TEST_DATA_DIR, testId);
@@ -56,7 +82,13 @@ if (typeof window !== 'undefined') {
getSettings: vi.fn(),
saveSettings: vi.fn(),
selectDirectory: vi.fn(),
- getAppVersion: vi.fn()
+ getAppVersion: vi.fn(),
+ // Tab state persistence (IPC-based)
+ getTabState: vi.fn().mockResolvedValue({
+ success: true,
+ data: { openProjectIds: [], activeProjectId: null, tabOrder: [] }
+ }),
+ saveTabState: vi.fn().mockResolvedValue({ success: true })
};
}
diff --git a/auto-claude-ui/src/main/__tests__/rate-limit-auto-recovery.test.ts b/auto-claude-ui/src/main/__tests__/rate-limit-auto-recovery.test.ts
new file mode 100644
index 00000000..6a6b23e3
--- /dev/null
+++ b/auto-claude-ui/src/main/__tests__/rate-limit-auto-recovery.test.ts
@@ -0,0 +1,605 @@
+/**
+ * Integration tests for Rate Limit Auto-Recovery System
+ * Tests the complete flow: rate limit detection → account swap → task restart
+ */
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { EventEmitter } from 'events';
+
+// Mock data
+const mockProfiles = {
+ mai: {
+ id: 'profile-mai',
+ name: 'MAI',
+ email: 'mai@example.com',
+ isDefault: true,
+ oauthToken: 'encrypted-token-mai',
+ createdAt: new Date(),
+ rateLimitEvents: []
+ },
+ mu: {
+ id: 'profile-mu',
+ name: 'MU',
+ email: 'mu@example.com',
+ isDefault: false,
+ oauthToken: 'encrypted-token-mu',
+ createdAt: new Date(),
+ rateLimitEvents: []
+ }
+};
+
+const mockAutoSwitchSettings = {
+ enabled: true,
+ proactiveSwapEnabled: true,
+ sessionThreshold: 95,
+ weeklyThreshold: 99,
+ autoSwitchOnRateLimit: true,
+ usageCheckInterval: 30000
+};
+
+// Create mock profile manager
+function createMockProfileManager(options: {
+ activeProfileId?: string;
+ profiles?: typeof mockProfiles;
+ autoSwitchSettings?: typeof mockAutoSwitchSettings;
+ bestAvailableProfile?: typeof mockProfiles.mai | null;
+} = {}) {
+ const activeId = options.activeProfileId || 'profile-mai';
+ const profiles = options.profiles || mockProfiles;
+ const settings = options.autoSwitchSettings || mockAutoSwitchSettings;
+ const bestProfile = options.bestAvailableProfile !== undefined
+ ? options.bestAvailableProfile
+ : profiles.mu;
+
+ return {
+ getActiveProfile: vi.fn(() => profiles[activeId === 'profile-mai' ? 'mai' : 'mu']),
+ getProfile: vi.fn((id: string) => {
+ if (id === 'profile-mai') return profiles.mai;
+ if (id === 'profile-mu') return profiles.mu;
+ return null;
+ }),
+ getBestAvailableProfile: vi.fn((_excludeProfileId?: string) => bestProfile),
+ setActiveProfile: vi.fn(),
+ recordRateLimitEvent: vi.fn(),
+ getAutoSwitchSettings: vi.fn(() => settings),
+ getProfileToken: vi.fn(() => 'decrypted-token'),
+ getActiveProfileToken: vi.fn(() => 'decrypted-token')
+ };
+}
+
+describe('Rate Limit Auto-Recovery Integration', () => {
+ let mockProfileManager: ReturnType;
+
+ beforeEach(() => {
+ vi.resetModules();
+ mockProfileManager = createMockProfileManager();
+ });
+
+ afterEach(() => {
+ vi.clearAllMocks();
+ });
+
+ describe('Rate Limit Detection Patterns', () => {
+ beforeEach(() => {
+ vi.doMock('../claude-profile-manager', () => ({
+ getClaudeProfileManager: vi.fn(() => mockProfileManager)
+ }));
+ });
+
+ it('should detect standard Claude rate limit message', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ const output = 'Limit reached · resets Dec 17 at 6am (Europe/Oslo)';
+ const result = detectRateLimit(output);
+
+ expect(result.isRateLimited).toBe(true);
+ expect(result.resetTime).toBe('Dec 17 at 6am (Europe/Oslo)');
+ expect(result.limitType).toBe('weekly');
+ });
+
+ it('should detect session limit (time only reset)', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ const output = 'Limit reached • resets 11:59pm';
+ const result = detectRateLimit(output);
+
+ expect(result.isRateLimited).toBe(true);
+ expect(result.limitType).toBe('session');
+ });
+
+ it('should detect rate limit in multiline output', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ const output = `Processing task...
+Some output here
+Limit reached · resets Dec 20 at 3pm (America/New_York)
+Stack trace follows`;
+
+ const result = detectRateLimit(output);
+
+ expect(result.isRateLimited).toBe(true);
+ expect(result.resetTime).toBe('Dec 20 at 3pm (America/New_York)');
+ });
+
+ it('should suggest alternative profile when rate limited', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ const output = 'Limit reached · resets Dec 17 at 6am';
+ const result = detectRateLimit(output, 'profile-mai');
+
+ expect(result.isRateLimited).toBe(true);
+ expect(result.suggestedProfile).toBeDefined();
+ expect(result.suggestedProfile?.id).toBe('profile-mu');
+ });
+
+ it('should record rate limit event in profile manager', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ detectRateLimit('Limit reached · resets Dec 17 at 6am', 'profile-mai');
+
+ expect(mockProfileManager.recordRateLimitEvent).toHaveBeenCalledWith(
+ 'profile-mai',
+ 'Dec 17 at 6am'
+ );
+ });
+ });
+
+ describe('Auto-Switch Settings Verification', () => {
+ it('should respect enabled flag', async () => {
+ const disabledManager = createMockProfileManager({
+ autoSwitchSettings: { ...mockAutoSwitchSettings, enabled: false }
+ });
+
+ vi.doMock('../claude-profile-manager', () => ({
+ getClaudeProfileManager: vi.fn(() => disabledManager)
+ }));
+
+ const settings = disabledManager.getAutoSwitchSettings();
+
+ expect(settings.enabled).toBe(false);
+ // When enabled is false, auto-swap should NOT happen even if autoSwitchOnRateLimit is true
+ });
+
+ it('should respect autoSwitchOnRateLimit flag', async () => {
+ const manualManager = createMockProfileManager({
+ autoSwitchSettings: { ...mockAutoSwitchSettings, autoSwitchOnRateLimit: false }
+ });
+
+ const settings = manualManager.getAutoSwitchSettings();
+
+ expect(settings.enabled).toBe(true);
+ expect(settings.autoSwitchOnRateLimit).toBe(false);
+ // When autoSwitchOnRateLimit is false, should show manual modal instead
+ });
+
+ it('should have both enabled and autoSwitchOnRateLimit for auto-recovery', () => {
+ const settings = mockProfileManager.getAutoSwitchSettings();
+
+ // Both must be true for automatic recovery
+ const shouldAutoRecover = settings.enabled && settings.autoSwitchOnRateLimit;
+ expect(shouldAutoRecover).toBe(true);
+ });
+ });
+
+ describe('Profile Scoring and Selection', () => {
+ it('should return alternative profile when one is available', () => {
+ const bestProfile = mockProfileManager.getBestAvailableProfile('profile-mai');
+
+ expect(bestProfile).toBeDefined();
+ expect(bestProfile?.id).toBe('profile-mu');
+ });
+
+ it('should return null when no alternative profile is available', () => {
+ const noAlternativeManager = createMockProfileManager({
+ bestAvailableProfile: null
+ });
+
+ const bestProfile = noAlternativeManager.getBestAvailableProfile('profile-mai');
+
+ expect(bestProfile).toBeNull();
+ });
+
+ it('should not return the same profile that hit the limit', () => {
+ const bestProfile = mockProfileManager.getBestAvailableProfile('profile-mai');
+
+ // Best profile should be different from the one that hit the limit
+ expect(bestProfile?.id).not.toBe('profile-mai');
+ });
+ });
+
+ describe('Auto-Recovery Flow Simulation', () => {
+ /**
+ * Simulates the flow in agent-process.ts lines 274-327
+ */
+ function simulateRateLimitRecovery(
+ output: string,
+ exitCode: number,
+ profileManager: ReturnType
+ ): {
+ rateLimitDetected: boolean;
+ autoSwapped: boolean;
+ taskRestarted: boolean;
+ modalShown: boolean;
+ swappedToProfile?: { id: string; name: string };
+ } {
+ const result = {
+ rateLimitDetected: false,
+ autoSwapped: false,
+ taskRestarted: false,
+ modalShown: false,
+ swappedToProfile: undefined as { id: string; name: string } | undefined
+ };
+
+ // Only check rate limit if process failed
+ if (exitCode !== 0) {
+ // Simulate detectRateLimit
+ const rateLimitPattern = /Limit reached\s*[·•]\s*resets\s+(.+?)(?:\s*$|\n)/im;
+ const rateIndicators = [/rate\s*limit/i, /usage\s*limit/i, /limit\s*reached/i];
+
+ const isRateLimited = rateLimitPattern.test(output) ||
+ rateIndicators.some(p => p.test(output));
+
+ if (isRateLimited) {
+ result.rateLimitDetected = true;
+
+ const settings = profileManager.getAutoSwitchSettings();
+
+ if (settings.enabled && settings.autoSwitchOnRateLimit) {
+ const bestProfile = profileManager.getBestAvailableProfile('current-profile');
+
+ if (bestProfile) {
+ // Auto-swap
+ profileManager.setActiveProfile(bestProfile.id);
+ result.autoSwapped = true;
+ result.swappedToProfile = { id: bestProfile.id, name: bestProfile.name };
+ result.taskRestarted = true;
+ result.modalShown = true; // Notification modal
+ } else {
+ // No alternative - show manual modal
+ result.modalShown = true;
+ }
+ } else {
+ // Auto-switch disabled - show manual modal
+ result.modalShown = true;
+ }
+ }
+ }
+
+ return result;
+ }
+
+ it('should auto-swap and restart when all conditions met', () => {
+ const result = simulateRateLimitRecovery(
+ 'Limit reached · resets Dec 17 at 6am',
+ 1, // non-zero exit
+ mockProfileManager
+ );
+
+ expect(result.rateLimitDetected).toBe(true);
+ expect(result.autoSwapped).toBe(true);
+ expect(result.taskRestarted).toBe(true);
+ expect(result.modalShown).toBe(true);
+ expect(result.swappedToProfile?.id).toBe('profile-mu');
+ });
+
+ it('should NOT auto-swap when exit code is 0', () => {
+ const result = simulateRateLimitRecovery(
+ 'Limit reached · resets Dec 17 at 6am',
+ 0, // success exit
+ mockProfileManager
+ );
+
+ expect(result.rateLimitDetected).toBe(false);
+ expect(result.autoSwapped).toBe(false);
+ expect(result.taskRestarted).toBe(false);
+ });
+
+ it('should NOT auto-swap when enabled is false', () => {
+ const disabledManager = createMockProfileManager({
+ autoSwitchSettings: { ...mockAutoSwitchSettings, enabled: false }
+ });
+
+ const result = simulateRateLimitRecovery(
+ 'Limit reached · resets Dec 17 at 6am',
+ 1,
+ disabledManager
+ );
+
+ expect(result.rateLimitDetected).toBe(true);
+ expect(result.autoSwapped).toBe(false);
+ expect(result.modalShown).toBe(true); // Manual modal
+ });
+
+ it('should NOT auto-swap when autoSwitchOnRateLimit is false', () => {
+ const manualManager = createMockProfileManager({
+ autoSwitchSettings: { ...mockAutoSwitchSettings, autoSwitchOnRateLimit: false }
+ });
+
+ const result = simulateRateLimitRecovery(
+ 'Limit reached · resets Dec 17 at 6am',
+ 1,
+ manualManager
+ );
+
+ expect(result.rateLimitDetected).toBe(true);
+ expect(result.autoSwapped).toBe(false);
+ expect(result.modalShown).toBe(true); // Manual modal
+ });
+
+ it('should show manual modal when no alternative profile available', () => {
+ const noAlternativeManager = createMockProfileManager({
+ bestAvailableProfile: null
+ });
+
+ const result = simulateRateLimitRecovery(
+ 'Limit reached · resets Dec 17 at 6am',
+ 1,
+ noAlternativeManager
+ );
+
+ expect(result.rateLimitDetected).toBe(true);
+ expect(result.autoSwapped).toBe(false);
+ expect(result.taskRestarted).toBe(false);
+ expect(result.modalShown).toBe(true); // Manual modal because no alternative
+ });
+
+ it('should NOT detect rate limit for normal errors', () => {
+ const result = simulateRateLimitRecovery(
+ 'Error: File not found',
+ 1,
+ mockProfileManager
+ );
+
+ expect(result.rateLimitDetected).toBe(false);
+ expect(result.autoSwapped).toBe(false);
+ expect(result.modalShown).toBe(false);
+ });
+ });
+
+ describe('Task Restart Context Preservation', () => {
+ it('should preserve task context for restart', () => {
+ // Simulate task execution context
+ const taskContext = {
+ taskId: 'task-123',
+ projectPath: '/path/to/project',
+ specId: 'spec-001',
+ options: { qa: false },
+ swapCount: 0,
+ isSpecCreation: false
+ };
+
+ // After swap, swapCount should increment
+ taskContext.swapCount++;
+
+ expect(taskContext.swapCount).toBe(1);
+ });
+
+ it('should limit swap retries to prevent infinite loops', () => {
+ const MAX_SWAPS = 2;
+ let swapCount = 0;
+
+ // Simulate multiple rate limits
+ for (let i = 0; i < 5; i++) {
+ if (swapCount >= MAX_SWAPS) {
+ break; // Should stop after 2 swaps
+ }
+ swapCount++;
+ }
+
+ expect(swapCount).toBe(MAX_SWAPS);
+ });
+ });
+
+ describe('Event Emission Verification', () => {
+ it('should emit sdk-rate-limit event on rate limit', () => {
+ const emitter = new EventEmitter();
+ const sdkRateLimitHandler = vi.fn();
+
+ emitter.on('sdk-rate-limit', sdkRateLimitHandler);
+
+ // Simulate rate limit detected with auto-swap
+ const rateLimitInfo = {
+ source: 'task' as const,
+ taskId: 'task-123',
+ resetTime: 'Dec 17 at 6am',
+ limitType: 'weekly' as const,
+ profileId: 'profile-mai',
+ profileName: 'MAI',
+ wasAutoSwapped: true,
+ swappedToProfile: { id: 'profile-mu', name: 'MU' },
+ swapReason: 'reactive' as const,
+ detectedAt: new Date()
+ };
+
+ emitter.emit('sdk-rate-limit', rateLimitInfo);
+
+ expect(sdkRateLimitHandler).toHaveBeenCalledWith(rateLimitInfo);
+ expect(sdkRateLimitHandler).toHaveBeenCalledTimes(1);
+ });
+
+ it('should emit auto-swap-restart-task event for task restart', () => {
+ const emitter = new EventEmitter();
+ const restartHandler = vi.fn();
+
+ emitter.on('auto-swap-restart-task', restartHandler);
+
+ emitter.emit('auto-swap-restart-task', 'task-123', 'profile-mu');
+
+ expect(restartHandler).toHaveBeenCalledWith('task-123', 'profile-mu');
+ });
+
+ it('should handle event chain: rate-limit → swap → restart', () => {
+ const emitter = new EventEmitter();
+ const events: string[] = [];
+
+ emitter.on('sdk-rate-limit', () => events.push('sdk-rate-limit'));
+ emitter.on('auto-swap-restart-task', () => events.push('auto-swap-restart-task'));
+
+ // Simulate the flow
+ emitter.emit('sdk-rate-limit', { /* info */ });
+ emitter.emit('auto-swap-restart-task', 'task-123', 'profile-mu');
+
+ expect(events).toEqual(['sdk-rate-limit', 'auto-swap-restart-task']);
+ });
+ });
+});
+
+describe('Rate Limit Edge Cases', () => {
+ beforeEach(() => {
+ vi.resetModules();
+ });
+
+ afterEach(() => {
+ vi.clearAllMocks();
+ });
+
+ describe('Pattern Matching Edge Cases', () => {
+ const mockManager = createMockProfileManager();
+
+ beforeEach(() => {
+ vi.doMock('../claude-profile-manager', () => ({
+ getClaudeProfileManager: vi.fn(() => mockManager)
+ }));
+ });
+
+ it('should handle different bullet characters', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ // Middle dot (·)
+ expect(detectRateLimit('Limit reached · resets 5pm').isRateLimited).toBe(true);
+
+ // Bullet (•)
+ expect(detectRateLimit('Limit reached • resets 5pm').isRateLimited).toBe(true);
+ });
+
+ it('should handle different timezone formats', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ const timezones = [
+ 'Dec 17 at 6am (Europe/Oslo)',
+ 'Dec 17 at 6am (America/New_York)',
+ 'Dec 17 at 6am (Asia/Tokyo)',
+ 'Dec 17 at 6am (UTC)',
+ 'Dec 17 at 6am' // No timezone
+ ];
+
+ for (const tz of timezones) {
+ const result = detectRateLimit(`Limit reached · resets ${tz}`);
+ expect(result.isRateLimited).toBe(true);
+ }
+ });
+
+ it('should handle 12-hour and 24-hour time formats', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ expect(detectRateLimit('Limit reached · resets 11:59pm').isRateLimited).toBe(true);
+ expect(detectRateLimit('Limit reached · resets 6am').isRateLimited).toBe(true);
+ expect(detectRateLimit('Limit reached · resets 18:00').isRateLimited).toBe(true);
+ });
+
+ it('should NOT false-positive on similar messages', async () => {
+ const { detectRateLimit } = await import('../rate-limit-detector');
+
+ // These should NOT trigger rate limit detection
+ const falsePositives = [
+ 'Limit your requests to avoid issues', // Contains 'limit' but not rate limit
+ 'The speed limit is 60mph', // Unrelated limit
+ 'Character limit reached for input field' // Different kind of limit
+ ];
+
+ for (const msg of falsePositives) {
+ const result = detectRateLimit(msg);
+ // Note: Some may still match secondary indicators - that's intentional
+ // The primary pattern should NOT match these
+ const primaryPattern = /Limit reached\s*[·•]\s*resets/i;
+ expect(primaryPattern.test(msg)).toBe(false);
+ }
+ });
+ });
+
+ describe('Both Profiles Rate Limited', () => {
+ it('should return null when all profiles are rate limited', () => {
+ const bothLimitedManager = createMockProfileManager({
+ bestAvailableProfile: null
+ });
+
+ const best = bothLimitedManager.getBestAvailableProfile('profile-mai');
+ expect(best).toBeNull();
+ });
+
+ it('should show manual modal when no profiles available', () => {
+ // User must either wait or add a new account
+ const bothLimitedManager = createMockProfileManager({
+ bestAvailableProfile: null
+ });
+
+ const settings = bothLimitedManager.getAutoSwitchSettings();
+ const bestProfile = bothLimitedManager.getBestAvailableProfile('profile-mai');
+
+ // Even with auto-switch enabled, should show modal since no alternative
+ const shouldShowManualModal = settings.enabled && settings.autoSwitchOnRateLimit && !bestProfile;
+ expect(shouldShowManualModal).toBe(true);
+ });
+ });
+
+ describe('Rapid Rate Limit Succession', () => {
+ it('should enforce max swap count', () => {
+ const MAX_SWAP_COUNT = 2;
+ const context = { swapCount: 0 };
+
+ // First swap
+ context.swapCount++;
+ expect(context.swapCount < MAX_SWAP_COUNT).toBe(true);
+
+ // Second swap
+ context.swapCount++;
+ expect(context.swapCount >= MAX_SWAP_COUNT).toBe(true);
+
+ // Third swap should be blocked
+ const shouldAllowSwap = context.swapCount < MAX_SWAP_COUNT;
+ expect(shouldAllowSwap).toBe(false);
+ });
+ });
+});
+
+describe('Modal Behavior with Reactive Recovery', () => {
+ describe('Modal Content Variations', () => {
+ it('should show notification-style modal when auto-swapped', () => {
+ const rateLimitInfo = {
+ source: 'task' as const,
+ wasAutoSwapped: true,
+ swappedToProfile: { id: 'profile-mu', name: 'MU' },
+ swapReason: 'reactive' as const
+ };
+
+ // When wasAutoSwapped is true, modal should be informational
+ expect(rateLimitInfo.wasAutoSwapped).toBe(true);
+ expect(rateLimitInfo.swapReason).toBe('reactive');
+ });
+
+ it('should show action-required modal when NOT auto-swapped', () => {
+ const rateLimitInfo = {
+ source: 'task' as const,
+ wasAutoSwapped: false,
+ suggestedProfile: { id: 'profile-mu', name: 'MU' }
+ };
+
+ // When wasAutoSwapped is false, user needs to take action
+ expect(rateLimitInfo.wasAutoSwapped).toBe(false);
+ });
+
+ it('should distinguish proactive vs reactive swaps', () => {
+ const proactiveSwap = {
+ wasAutoSwapped: true,
+ swapReason: 'proactive' as const // Before limit hit
+ };
+
+ const reactiveSwap = {
+ wasAutoSwapped: true,
+ swapReason: 'reactive' as const // After limit hit
+ };
+
+ expect(proactiveSwap.swapReason).toBe('proactive');
+ expect(reactiveSwap.swapReason).toBe('reactive');
+ });
+ });
+});
diff --git a/auto-claude-ui/src/main/agent/agent-manager.ts b/auto-claude-ui/src/main/agent/agent-manager.ts
index 4fabceb5..d7d066b0 100644
--- a/auto-claude-ui/src/main/agent/agent-manager.ts
+++ b/auto-claude-ui/src/main/agent/agent-manager.ts
@@ -43,8 +43,10 @@ export class AgentManager extends EventEmitter {
this.queueManager = new AgentQueueManager(this.state, this.events, this.processManager, this);
// Listen for auto-swap restart events
- this.on('auto-swap-restart-task', (taskId: string, _newProfileId: string) => {
- this.restartTask(taskId);
+ this.on('auto-swap-restart-task', (taskId: string, newProfileId: string) => {
+ console.log('[AgentManager] Received auto-swap-restart-task event:', { taskId, newProfileId });
+ const success = this.restartTask(taskId, newProfileId);
+ console.log('[AgentManager] Task restart result:', success ? 'SUCCESS' : 'FAILED');
});
// Listen for task completion to clean up context (prevent memory leak)
@@ -350,28 +352,56 @@ export class AgentManager extends EventEmitter {
/**
* Restart task after profile swap
+ * @param taskId - The task to restart
+ * @param newProfileId - Optional new profile ID to apply (from auto-swap)
*/
- restartTask(taskId: string): boolean {
+ restartTask(taskId: string, newProfileId?: string): boolean {
+ console.log('[AgentManager] restartTask called for:', taskId, 'with newProfileId:', newProfileId);
+
const context = this.taskExecutionContext.get(taskId);
if (!context) {
console.error('[AgentManager] No context for task:', taskId);
+ console.log('[AgentManager] Available task contexts:', Array.from(this.taskExecutionContext.keys()));
return false;
}
+ console.log('[AgentManager] Task context found:', {
+ taskId,
+ projectPath: context.projectPath,
+ specId: context.specId,
+ isSpecCreation: context.isSpecCreation,
+ swapCount: context.swapCount
+ });
+
// Prevent infinite swap loops
if (context.swapCount >= 2) {
- console.error('[AgentManager] Max swap count reached for task:', taskId);
+ console.error('[AgentManager] Max swap count reached for task:', taskId, '- stopping restart loop');
return false;
}
context.swapCount++;
+ console.log('[AgentManager] Incremented swap count to:', context.swapCount);
+
+ // If a new profile was specified, ensure it's set as active before restart
+ if (newProfileId) {
+ const profileManager = getClaudeProfileManager();
+ const currentActiveId = profileManager.getActiveProfile()?.id;
+ if (currentActiveId !== newProfileId) {
+ console.log('[AgentManager] Setting active profile to:', newProfileId);
+ profileManager.setActiveProfile(newProfileId);
+ }
+ }
// Kill current process
+ console.log('[AgentManager] Killing current process for task:', taskId);
this.killTask(taskId);
// Wait for cleanup, then restart
+ console.log('[AgentManager] Scheduling task restart in 500ms');
setTimeout(() => {
+ console.log('[AgentManager] Restarting task now:', taskId);
if (context.isSpecCreation) {
+ console.log('[AgentManager] Restarting as spec creation');
this.startSpecCreation(
taskId,
context.projectPath,
@@ -380,6 +410,7 @@ export class AgentManager extends EventEmitter {
context.metadata
);
} else {
+ console.log('[AgentManager] Restarting as task execution');
this.startTaskExecution(
taskId,
context.projectPath,
diff --git a/auto-claude-ui/src/main/agent/agent-process.ts b/auto-claude-ui/src/main/agent/agent-process.ts
index 6565a21b..c3351cc4 100644
--- a/auto-claude-ui/src/main/agent/agent-process.ts
+++ b/auto-claude-ui/src/main/agent/agent-process.ts
@@ -273,22 +273,45 @@ export class AgentProcessManager {
// Check for rate limit if process failed
if (code !== 0) {
+ console.log('[AgentProcess] Process failed with code:', code, 'for task:', taskId);
+ console.log('[AgentProcess] Checking for rate limit in output (last 500 chars):', allOutput.slice(-500));
+
const rateLimitDetection = detectRateLimit(allOutput);
+ console.log('[AgentProcess] Rate limit detection result:', {
+ isRateLimited: rateLimitDetection.isRateLimited,
+ resetTime: rateLimitDetection.resetTime,
+ limitType: rateLimitDetection.limitType,
+ profileId: rateLimitDetection.profileId,
+ suggestedProfile: rateLimitDetection.suggestedProfile
+ });
+
if (rateLimitDetection.isRateLimited) {
// Check if auto-swap is enabled
const profileManager = getClaudeProfileManager();
const autoSwitchSettings = profileManager.getAutoSwitchSettings();
+ console.log('[AgentProcess] Auto-switch settings:', {
+ enabled: autoSwitchSettings.enabled,
+ autoSwitchOnRateLimit: autoSwitchSettings.autoSwitchOnRateLimit,
+ proactiveSwapEnabled: autoSwitchSettings.proactiveSwapEnabled
+ });
+
if (autoSwitchSettings.enabled && autoSwitchSettings.autoSwitchOnRateLimit) {
const currentProfileId = rateLimitDetection.profileId;
const bestProfile = profileManager.getBestAvailableProfile(currentProfileId);
+ console.log('[AgentProcess] Best available profile:', bestProfile ? {
+ id: bestProfile.id,
+ name: bestProfile.name
+ } : 'NONE');
+
if (bestProfile) {
// Switch active profile
+ console.log('[AgentProcess] AUTO-SWAP: Switching from', currentProfileId, 'to', bestProfile.id);
profileManager.setActiveProfile(bestProfile.id);
// Emit swap info (for modal)
- const source = processType === 'spec-creation' ? 'task' : 'task';
+ const source = processType === 'spec-creation' ? 'roadmap' : 'task';
const rateLimitInfo = createSDKRateLimitInfo(source, rateLimitDetection, {
taskId
});
@@ -298,30 +321,42 @@ export class AgentProcessManager {
name: bestProfile.name
};
rateLimitInfo.swapReason = 'reactive';
+
+ console.log('[AgentProcess] Emitting sdk-rate-limit event (auto-swapped):', rateLimitInfo);
this.emitter.emit('sdk-rate-limit', rateLimitInfo);
// Restart task
+ console.log('[AgentProcess] Emitting auto-swap-restart-task event for task:', taskId);
this.emitter.emit('auto-swap-restart-task', taskId, bestProfile.id);
return;
+ } else {
+ console.log('[AgentProcess] No alternative profile available - falling back to manual modal');
}
+ } else {
+ console.log('[AgentProcess] Auto-switch disabled - showing manual modal');
}
// Fall back to manual modal (no auto-swap or no alternative profile)
- const source = processType === 'spec-creation' ? 'task' : 'task';
+ const source = processType === 'spec-creation' ? 'roadmap' : 'task';
const rateLimitInfo = createSDKRateLimitInfo(source, rateLimitDetection, {
taskId
});
+ console.log('[AgentProcess] Emitting sdk-rate-limit event (manual):', rateLimitInfo);
this.emitter.emit('sdk-rate-limit', rateLimitInfo);
} else {
+ console.log('[AgentProcess] No rate limit detected - checking for auth failure');
// Not rate limited - check for authentication failure
const authFailureDetection = detectAuthFailure(allOutput);
if (authFailureDetection.isAuthFailure) {
+ console.log('[AgentProcess] Auth failure detected:', authFailureDetection);
this.emitter.emit('auth-failure', taskId, {
profileId: authFailureDetection.profileId,
failureType: authFailureDetection.failureType,
message: authFailureDetection.message,
originalError: authFailureDetection.originalError
});
+ } else {
+ console.log('[AgentProcess] Process failed but no rate limit or auth failure detected');
}
}
}
diff --git a/auto-claude-ui/src/main/api-validation-service.ts b/auto-claude-ui/src/main/api-validation-service.ts
new file mode 100644
index 00000000..6ef07f07
--- /dev/null
+++ b/auto-claude-ui/src/main/api-validation-service.ts
@@ -0,0 +1,243 @@
+/**
+ * API Validation Service
+ *
+ * Provides validation for external LLM API providers (OpenAI, Anthropic, Google, etc.)
+ * Used by the Graphiti memory integration for embedding and LLM operations.
+ */
+
+export interface ApiValidationResult {
+ success: boolean;
+ message: string;
+ details?: {
+ provider?: string;
+ model?: string;
+ latencyMs?: number;
+ };
+}
+
+/**
+ * Validate OpenAI API key by attempting to list models
+ * @param apiKey - OpenAI API key
+ */
+export async function validateOpenAIApiKey(
+ apiKey: string
+): Promise {
+ if (!apiKey || !apiKey.trim()) {
+ return {
+ success: false,
+ message: 'API key is required',
+ };
+ }
+
+ // Basic format validation
+ const trimmedKey = apiKey.trim();
+ if (!trimmedKey.startsWith('sk-') && !trimmedKey.startsWith('sess-')) {
+ return {
+ success: false,
+ message: 'Invalid API key format. OpenAI API keys should start with "sk-" or "sess-"',
+ };
+ }
+
+ try {
+ const startTime = Date.now();
+
+ // Use native https module to avoid additional dependencies
+ const result = await new Promise((resolve) => {
+ const https = require('https');
+
+ const options = {
+ hostname: 'api.openai.com',
+ port: 443,
+ path: '/v1/models',
+ method: 'GET',
+ headers: {
+ Authorization: `Bearer ${trimmedKey}`,
+ 'Content-Type': 'application/json',
+ },
+ timeout: 15000,
+ };
+
+ const req = https.request(options, (res: { statusCode: number; on: (event: string, callback: (chunk: Buffer) => void) => void }) => {
+ let data = '';
+
+ res.on('data', (chunk: Buffer) => {
+ data += chunk;
+ });
+
+ res.on('end', () => {
+ const latencyMs = Date.now() - startTime;
+
+ if (res.statusCode === 200) {
+ resolve({
+ success: true,
+ message: 'OpenAI API key is valid',
+ details: {
+ provider: 'openai',
+ latencyMs,
+ },
+ });
+ } else if (res.statusCode === 401) {
+ resolve({
+ success: false,
+ message: 'Invalid API key. Please check your OpenAI API key.',
+ });
+ } else if (res.statusCode === 429) {
+ // Rate limited but key is valid
+ resolve({
+ success: true,
+ message: 'OpenAI API key is valid (rate limited, please wait)',
+ details: {
+ provider: 'openai',
+ latencyMs,
+ },
+ });
+ } else {
+ try {
+ const errorData = JSON.parse(data);
+ resolve({
+ success: false,
+ message: errorData.error?.message || `API error: ${res.statusCode}`,
+ });
+ } catch {
+ resolve({
+ success: false,
+ message: `API error: ${res.statusCode}`,
+ });
+ }
+ }
+ });
+ });
+
+ req.on('error', (error: Error) => {
+ resolve({
+ success: false,
+ message: `Connection error: ${error.message}`,
+ });
+ });
+
+ req.on('timeout', () => {
+ req.destroy();
+ resolve({
+ success: false,
+ message: 'Connection timeout. Please check your network connection.',
+ });
+ });
+
+ req.end();
+ });
+
+ return result;
+ } catch (error) {
+ return {
+ success: false,
+ message: error instanceof Error ? error.message : 'Unknown error occurred',
+ };
+ }
+}
+
+/**
+ * Validate Anthropic API key
+ * @param apiKey - Anthropic API key
+ */
+export async function validateAnthropicApiKey(
+ apiKey: string
+): Promise {
+ if (!apiKey || !apiKey.trim()) {
+ return {
+ success: false,
+ message: 'API key is required',
+ };
+ }
+
+ const trimmedKey = apiKey.trim();
+ if (!trimmedKey.startsWith('sk-ant-')) {
+ return {
+ success: false,
+ message: 'Invalid API key format. Anthropic API keys should start with "sk-ant-"',
+ };
+ }
+
+ // For now, just validate format - full validation would require an API call
+ return {
+ success: true,
+ message: 'Anthropic API key format is valid',
+ details: {
+ provider: 'anthropic',
+ },
+ };
+}
+
+/**
+ * Validate Google AI API key
+ * @param apiKey - Google AI API key
+ */
+export async function validateGoogleApiKey(
+ apiKey: string
+): Promise {
+ if (!apiKey || !apiKey.trim()) {
+ return {
+ success: false,
+ message: 'API key is required',
+ };
+ }
+
+ const trimmedKey = apiKey.trim();
+ if (!trimmedKey.startsWith('AIza')) {
+ return {
+ success: false,
+ message: 'Invalid API key format. Google AI API keys should start with "AIza"',
+ };
+ }
+
+ return {
+ success: true,
+ message: 'Google AI API key format is valid',
+ details: {
+ provider: 'google',
+ },
+ };
+}
+
+/**
+ * Validate an LLM provider API key based on provider type
+ * @param provider - The LLM provider (openai, anthropic, google, etc.)
+ * @param apiKey - The API key to validate
+ */
+export async function validateLLMApiKey(
+ provider: string,
+ apiKey: string
+): Promise {
+ switch (provider) {
+ case 'openai':
+ return validateOpenAIApiKey(apiKey);
+ case 'anthropic':
+ return validateAnthropicApiKey(apiKey);
+ case 'google':
+ return validateGoogleApiKey(apiKey);
+ case 'ollama':
+ // Ollama is local, no API key needed
+ return {
+ success: true,
+ message: 'Ollama runs locally, no API key required',
+ details: { provider: 'ollama' },
+ };
+ case 'azure_openai':
+ // Azure OpenAI uses different auth, just validate presence
+ if (!apiKey || !apiKey.trim()) {
+ return {
+ success: false,
+ message: 'Azure OpenAI API key is required',
+ };
+ }
+ return {
+ success: true,
+ message: 'Azure OpenAI API key format accepted',
+ details: { provider: 'azure_openai' },
+ };
+ default:
+ return {
+ success: false,
+ message: `Unknown provider: ${provider}`,
+ };
+ }
+}
diff --git a/auto-claude-ui/src/main/docker-service.ts b/auto-claude-ui/src/main/docker-service.ts
deleted file mode 100644
index 6b01f0aa..00000000
--- a/auto-claude-ui/src/main/docker-service.ts
+++ /dev/null
@@ -1,586 +0,0 @@
-/**
- * Docker & FalkorDB Service
- *
- * Provides automatic detection and management of Docker and FalkorDB
- * for non-technical users. This eliminates the need for manual
- * "docker --version" verification steps.
- */
-
-import { exec, spawn } from 'child_process';
-import { promisify } from 'util';
-
-const execAsync = promisify(exec);
-
-// FalkorDB container configuration
-const FALKORDB_CONTAINER_NAME = 'auto-claude-falkordb';
-const FALKORDB_IMAGE = 'falkordb/falkordb:latest';
-const FALKORDB_DEFAULT_PORT = 6380;
-
-export interface DockerStatus {
- installed: boolean;
- running: boolean;
- version?: string;
- error?: string;
-}
-
-export interface FalkorDBStatus {
- containerExists: boolean;
- containerRunning: boolean;
- containerName: string;
- port: number;
- healthy: boolean;
- error?: string;
-}
-
-export interface InfrastructureStatus {
- docker: DockerStatus;
- falkordb: FalkorDBStatus;
- ready: boolean; // True if both Docker is running and FalkorDB is healthy
-}
-
-/**
- * Check if Docker is installed and running
- */
-export async function checkDockerStatus(): Promise {
- try {
- // Check if Docker CLI is available
- const { stdout: versionOutput } = await execAsync('docker --version', {
- timeout: 5000,
- });
-
- const version = versionOutput.trim();
-
- // Check if Docker daemon is running by trying to ping it
- try {
- await execAsync('docker info', { timeout: 10000 });
- return {
- installed: true,
- running: true,
- version,
- };
- } catch {
- return {
- installed: true,
- running: false,
- version,
- error: 'Docker is installed but not running. Please start Docker Desktop.',
- };
- }
- } catch (error) {
- const errorMsg = error instanceof Error ? error.message : String(error);
-
- // Check if it's a "command not found" type error
- if (
- errorMsg.includes('not found') ||
- errorMsg.includes('ENOENT') ||
- errorMsg.includes('not recognized')
- ) {
- return {
- installed: false,
- running: false,
- error: 'Docker is not installed. Please install Docker Desktop.',
- };
- }
-
- return {
- installed: false,
- running: false,
- error: `Docker check failed: ${errorMsg}`,
- };
- }
-}
-
-/**
- * Get the actual port mapping for the FalkorDB container from Docker
- */
-async function getContainerPortMapping(): Promise {
- try {
- // Get the port mapping from Docker - format: "0.0.0.0:6380->6379/tcp"
- const { stdout } = await execAsync(
- `docker port ${FALKORDB_CONTAINER_NAME} 6379`,
- { timeout: 5000 }
- );
-
- const portMatch = stdout.trim().match(/:(\d+)/);
- if (portMatch) {
- return parseInt(portMatch[1], 10);
- }
- return null;
- } catch {
- return null;
- }
-}
-
-/**
- * Check FalkorDB container status
- */
-export async function checkFalkorDBStatus(port: number = FALKORDB_DEFAULT_PORT): Promise {
- const status: FalkorDBStatus = {
- containerExists: false,
- containerRunning: false,
- containerName: FALKORDB_CONTAINER_NAME,
- port,
- healthy: false,
- };
-
- try {
- // Check if container exists and get its status
- const { stdout } = await execAsync(
- `docker ps -a --filter "name=${FALKORDB_CONTAINER_NAME}" --format "{{.Status}}"`,
- { timeout: 5000 }
- );
-
- const containerStatus = stdout.trim();
-
- if (containerStatus) {
- status.containerExists = true;
- status.containerRunning = containerStatus.toLowerCase().startsWith('up');
-
- if (status.containerRunning) {
- // Get the actual port mapping from Docker
- const actualPort = await getContainerPortMapping();
- if (actualPort) {
- status.port = actualPort;
- }
-
- // Check if FalkorDB is responding
- status.healthy = await checkFalkorDBHealth(status.port);
- }
- }
-
- return status;
- } catch (error) {
- status.error = error instanceof Error ? error.message : String(error);
- return status;
- }
-}
-
-/**
- * Check if FalkorDB is responding to connections
- */
-async function checkFalkorDBHealth(_port: number): Promise {
- try {
- // Try to ping FalkorDB using redis-cli (FalkorDB uses Redis protocol)
- // Since we may not have redis-cli, we'll check if the port is listening
- await execAsync(`docker exec ${FALKORDB_CONTAINER_NAME} redis-cli PING`, {
- timeout: 5000,
- });
- return true;
- } catch {
- // Fallback: just check if container is running (less accurate)
- return false;
- }
-}
-
-/**
- * Get combined infrastructure status
- */
-export async function getInfrastructureStatus(
- falkordbPort: number = FALKORDB_DEFAULT_PORT
-): Promise {
- const [docker, falkordb] = await Promise.all([
- checkDockerStatus(),
- checkFalkorDBStatus(falkordbPort),
- ]);
-
- return {
- docker,
- falkordb,
- ready: docker.running && falkordb.containerRunning && falkordb.healthy,
- };
-}
-
-/**
- * Start FalkorDB container
- * Creates a new container if it doesn't exist, or starts the existing one
- */
-export async function startFalkorDB(
- port: number = FALKORDB_DEFAULT_PORT
-): Promise<{ success: boolean; error?: string }> {
- try {
- // First, check Docker status
- const dockerStatus = await checkDockerStatus();
- if (!dockerStatus.running) {
- return {
- success: false,
- error: dockerStatus.error || 'Docker is not running',
- };
- }
-
- // Check if container already exists
- const falkordbStatus = await checkFalkorDBStatus(port);
-
- if (falkordbStatus.containerExists) {
- if (falkordbStatus.containerRunning) {
- // Already running
- return { success: true };
- }
-
- // Start existing container
- await execAsync(`docker start ${FALKORDB_CONTAINER_NAME}`, { timeout: 30000 });
- } else {
- // Create and start new container
- await execAsync(
- `docker run -d --name ${FALKORDB_CONTAINER_NAME} -p ${port}:6379 ${FALKORDB_IMAGE}`,
- { timeout: 60000 }
- );
- }
-
- // Wait for FalkorDB to be ready (up to 30 seconds)
- const ready = await waitForFalkorDB(port, 30000);
-
- if (!ready) {
- return {
- success: false,
- error: 'FalkorDB container started but is not responding. Please check Docker logs.',
- };
- }
-
- return { success: true };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : String(error),
- };
- }
-}
-
-/**
- * Stop FalkorDB container
- */
-export async function stopFalkorDB(): Promise<{ success: boolean; error?: string }> {
- try {
- await execAsync(`docker stop ${FALKORDB_CONTAINER_NAME}`, { timeout: 30000 });
- return { success: true };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : String(error),
- };
- }
-}
-
-/**
- * Wait for FalkorDB to be ready
- */
-async function waitForFalkorDB(port: number, timeoutMs: number): Promise {
- const startTime = Date.now();
- const checkInterval = 1000; // Check every second
-
- while (Date.now() - startTime < timeoutMs) {
- const status = await checkFalkorDBStatus(port);
- if (status.containerRunning && status.healthy) {
- return true;
- }
- // If container is running but not healthy yet, wait
- if (status.containerRunning) {
- await new Promise((resolve) => setTimeout(resolve, checkInterval));
- } else {
- // Container stopped unexpectedly
- return false;
- }
- }
-
- return false;
-}
-
-/**
- * Open Docker Desktop application (macOS/Windows)
- */
-export async function openDockerDesktop(): Promise<{ success: boolean; error?: string }> {
- try {
- if (process.platform === 'darwin') {
- // macOS
- await execAsync('open -a Docker', { timeout: 5000 });
- } else if (process.platform === 'win32') {
- // Windows
- spawn('cmd', ['/c', 'start', '', 'Docker Desktop'], {
- detached: true,
- stdio: 'ignore',
- });
- } else {
- // Linux - Docker doesn't have a GUI, suggest starting daemon
- return {
- success: false,
- error: 'On Linux, start Docker with: sudo systemctl start docker',
- };
- }
-
- return { success: true };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : String(error),
- };
- }
-}
-
-/**
- * Get download URL for Docker Desktop
- */
-export function getDockerDownloadUrl(): string {
- if (process.platform === 'darwin') {
- return 'https://www.docker.com/products/docker-desktop/';
- } else if (process.platform === 'win32') {
- return 'https://www.docker.com/products/docker-desktop/';
- }
- return 'https://docs.docker.com/engine/install/';
-}
-
-// ============================================
-// Graphiti Validation Functions
-// ============================================
-
-export interface GraphitiValidationResult {
- success: boolean;
- message: string;
- details?: {
- provider?: string;
- model?: string;
- latencyMs?: number;
- };
-}
-
-/**
- * Validate FalkorDB connection by attempting to connect and ping
- * @param uri - FalkorDB URI (e.g., "bolt://localhost:6380" or "redis://localhost:6380")
- */
-export async function validateFalkorDBConnection(
- uri: string
-): Promise {
- try {
- // Parse the URI to extract host and port
- let host = 'localhost';
- let port = FALKORDB_DEFAULT_PORT;
-
- // Support both bolt:// and redis:// protocols
- const uriMatch = uri.match(/^(?:bolt|redis):\/\/([^:]+):(\d+)/);
- if (uriMatch) {
- host = uriMatch[1];
- port = parseInt(uriMatch[2], 10);
- } else {
- // Try simple host:port format
- const simpleMatch = uri.match(/^([^:]+):(\d+)/);
- if (simpleMatch) {
- host = simpleMatch[1];
- port = parseInt(simpleMatch[2], 10);
- }
- }
-
- const startTime = Date.now();
-
- // First, check the actual FalkorDB container status to get the correct port
- const falkorStatus = await checkFalkorDBStatus(port);
-
- // If container exists but user specified wrong port, try to detect the actual port
- if (!falkorStatus.containerRunning) {
- // Check if container is running on default port
- const defaultStatus = await checkFalkorDBStatus(FALKORDB_DEFAULT_PORT);
- if (defaultStatus.containerRunning && defaultStatus.healthy) {
- return {
- success: false,
- message: `FalkorDB is running on port ${FALKORDB_DEFAULT_PORT}, but you specified port ${port}. Please update the URI to bolt://localhost:${FALKORDB_DEFAULT_PORT}`,
- };
- }
-
- return {
- success: false,
- message: `FalkorDB container is not running. Please start FalkorDB first using Docker.`,
- };
- }
-
- // Try to ping FalkorDB using redis-cli in Docker container
- try {
- const { stdout } = await execAsync(
- `docker exec ${FALKORDB_CONTAINER_NAME} redis-cli PING`,
- { timeout: 10000 }
- );
-
- if (stdout.trim().toUpperCase() === 'PONG') {
- const latencyMs = Date.now() - startTime;
- return {
- success: true,
- message: `Connected to FalkorDB at ${host}:${port}`,
- details: { latencyMs },
- };
- }
- } catch {
- // redis-cli failed, try port check as fallback
- }
-
- // Fallback: check if the port is open using nc or direct connection
- try {
- // Check if we can connect to the mapped port from the host
- await execAsync(`nc -z -w 5 ${host} ${port}`, { timeout: 10000 });
- const latencyMs = Date.now() - startTime;
- return {
- success: true,
- message: `FalkorDB port ${port} is reachable at ${host}`,
- details: { latencyMs },
- };
- } catch {
- // Port check failed, but container is running - might be a different port mapping
- if (falkorStatus.containerRunning) {
- return {
- success: false,
- message: `FalkorDB container is running but port ${port} is not reachable. The container may be mapped to a different port.`,
- };
- }
-
- return {
- success: false,
- message: `Cannot connect to FalkorDB at ${host}:${port}. Make sure FalkorDB is running.`,
- };
- }
- } catch (error) {
- return {
- success: false,
- message: error instanceof Error ? error.message : 'Unknown error occurred',
- };
- }
-}
-
-/**
- * Validate OpenAI API key by attempting to list models
- * @param apiKey - OpenAI API key
- */
-export async function validateOpenAIApiKey(
- apiKey: string
-): Promise {
- if (!apiKey || !apiKey.trim()) {
- return {
- success: false,
- message: 'API key is required',
- };
- }
-
- // Basic format validation
- const trimmedKey = apiKey.trim();
- if (!trimmedKey.startsWith('sk-') && !trimmedKey.startsWith('sess-')) {
- return {
- success: false,
- message: 'Invalid API key format. OpenAI API keys should start with "sk-"',
- };
- }
-
- try {
- const startTime = Date.now();
-
- // Use native https module to avoid additional dependencies
- const result = await new Promise((resolve) => {
- const https = require('https');
-
- const options = {
- hostname: 'api.openai.com',
- port: 443,
- path: '/v1/models',
- method: 'GET',
- headers: {
- Authorization: `Bearer ${trimmedKey}`,
- 'Content-Type': 'application/json',
- },
- timeout: 15000,
- };
-
- const req = https.request(options, (res: { statusCode: number; on: (event: string, callback: (chunk: Buffer) => void) => void }) => {
- let data = '';
-
- res.on('data', (chunk: Buffer) => {
- data += chunk;
- });
-
- res.on('end', () => {
- const latencyMs = Date.now() - startTime;
-
- if (res.statusCode === 200) {
- resolve({
- success: true,
- message: 'OpenAI API key is valid',
- details: {
- provider: 'openai',
- latencyMs,
- },
- });
- } else if (res.statusCode === 401) {
- resolve({
- success: false,
- message: 'Invalid API key. Please check your OpenAI API key.',
- });
- } else if (res.statusCode === 429) {
- // Rate limited but key is valid
- resolve({
- success: true,
- message: 'OpenAI API key is valid (rate limited, please wait)',
- details: {
- provider: 'openai',
- latencyMs,
- },
- });
- } else {
- try {
- const errorData = JSON.parse(data);
- resolve({
- success: false,
- message: errorData.error?.message || `API error: ${res.statusCode}`,
- });
- } catch {
- resolve({
- success: false,
- message: `API error: ${res.statusCode}`,
- });
- }
- }
- });
- });
-
- req.on('error', (error: Error) => {
- resolve({
- success: false,
- message: `Connection error: ${error.message}`,
- });
- });
-
- req.on('timeout', () => {
- req.destroy();
- resolve({
- success: false,
- message: 'Connection timeout. Please check your network connection.',
- });
- });
-
- req.end();
- });
-
- return result;
- } catch (error) {
- return {
- success: false,
- message: error instanceof Error ? error.message : 'Unknown error occurred',
- };
- }
-}
-
-/**
- * Test the full Graphiti connection (FalkorDB + OpenAI)
- * @param falkorDbUri - FalkorDB URI
- * @param openAiApiKey - OpenAI API key
- */
-export async function testGraphitiConnection(
- falkorDbUri: string,
- openAiApiKey: string
-): Promise<{
- falkordb: GraphitiValidationResult;
- openai: GraphitiValidationResult;
- ready: boolean;
-}> {
- const [falkordb, openai] = await Promise.all([
- validateFalkorDBConnection(falkorDbUri),
- validateOpenAIApiKey(openAiApiKey),
- ]);
-
- return {
- falkordb,
- openai,
- ready: falkordb.success && openai.success,
- };
-}
diff --git a/auto-claude-ui/src/main/falkordb-service.ts b/auto-claude-ui/src/main/falkordb-service.ts
deleted file mode 100644
index 49fd9bee..00000000
--- a/auto-claude-ui/src/main/falkordb-service.ts
+++ /dev/null
@@ -1,365 +0,0 @@
-/**
- * FalkorDB Service
- *
- * Queries the FalkorDB graph database for memories stored by Graphiti.
- * Uses ioredis to communicate with FalkorDB via Redis protocol.
- */
-
-import Redis from 'ioredis';
-import type { MemoryEpisode } from '../shared/types';
-
-interface FalkorDBConfig {
- host: string;
- port: number;
- password?: string;
-}
-
-interface EpisodicNode {
- uuid: string;
- name: string;
- created_at: string;
- content?: string;
- source_description?: string;
-}
-
-interface EntityNode {
- uuid: string;
- name: string;
- summary?: string;
-}
-
-/**
- * Parse FalkorDB GRAPH.QUERY results into structured data
- */
-function parseGraphResult(result: unknown[]): Record[] {
- if (!Array.isArray(result) || result.length < 2) {
- return [];
- }
-
- // Result format: [headers, [row1, row2, ...], stats]
- const headers = result[0] as string[];
- const rows = result[1] as unknown[][];
-
- if (!Array.isArray(headers) || !Array.isArray(rows)) {
- return [];
- }
-
- return rows.map(row => {
- const obj: Record = {};
- headers.forEach((header, idx) => {
- obj[header] = row[idx];
- });
- return obj;
- });
-}
-
-/**
- * FalkorDB Service for querying graph memories
- */
-export class FalkorDBService {
- private config: FalkorDBConfig;
- private redis: Redis | null = null;
-
- constructor(config: FalkorDBConfig) {
- this.config = config;
- }
-
- /**
- * Get a Redis connection (lazy initialization)
- */
- private async getConnection(): Promise {
- if (this.redis) {
- return this.redis;
- }
-
- this.redis = new Redis({
- host: this.config.host,
- port: this.config.port,
- password: this.config.password,
- lazyConnect: true,
- connectTimeout: 5000,
- maxRetriesPerRequest: 1,
- });
-
- await this.redis.connect();
- return this.redis;
- }
-
- /**
- * Close the Redis connection
- */
- async close(): Promise {
- if (this.redis) {
- await this.redis.quit();
- this.redis = null;
- }
- }
-
- /**
- * List all available graphs in the database
- */
- async listGraphs(): Promise {
- try {
- const redis = await this.getConnection();
- const result = await redis.call('GRAPH.LIST') as string[];
- return result || [];
- } catch (error) {
- console.error('Failed to list graphs:', error);
- return [];
- }
- }
-
- /**
- * Query episodic memories from a specific graph
- */
- async getEpisodicMemories(graphName: string, limit: number = 20): Promise {
- try {
- const redis = await this.getConnection();
-
- // Query episodic nodes with their details
- const query = `
- MATCH (e:Episodic)
- RETURN e.uuid as uuid, e.name as name, e.created_at as created_at,
- e.content as content, e.source_description as description
- ORDER BY e.created_at DESC
- LIMIT ${limit}
- `;
-
- const result = await redis.call('GRAPH.QUERY', graphName, query) as unknown[];
- const episodes = parseGraphResult(result) as unknown as EpisodicNode[];
-
- return episodes.map(ep => ({
- id: ep.uuid || ep.name,
- type: this.inferEpisodeType(ep.name, ep.content),
- timestamp: ep.created_at || new Date().toISOString(),
- content: ep.content || ep.source_description || ep.name,
- session_number: this.extractSessionNumber(ep.name),
- }));
- } catch (error) {
- console.error(`Failed to get episodic memories from ${graphName}:`, error);
- return [];
- }
- }
-
- /**
- * Query entity memories (patterns, gotchas, etc.) from a graph
- */
- async getEntityMemories(graphName: string, limit: number = 20): Promise {
- try {
- const redis = await this.getConnection();
-
- // Query entity nodes
- const query = `
- MATCH (e:Entity)
- RETURN e.uuid as uuid, e.name as name, e.summary as summary, e.created_at as created_at
- ORDER BY e.created_at DESC
- LIMIT ${limit}
- `;
-
- const result = await redis.call('GRAPH.QUERY', graphName, query) as unknown[];
- const entities = parseGraphResult(result) as unknown as EntityNode[];
-
- return entities
- .filter(ent => ent.summary) // Only include entities with summaries
- .map(ent => ({
- id: ent.uuid || ent.name,
- type: this.inferEntityType(ent.name),
- timestamp: new Date().toISOString(),
- content: ent.summary || ent.name,
- }));
- } catch (error) {
- console.error(`Failed to get entity memories from ${graphName}:`, error);
- return [];
- }
- }
-
- /**
- * Get all memories from all spec-related graphs
- */
- async getAllMemories(limit: number = 20): Promise {
- const graphs = await this.listGraphs();
- const memories: MemoryEpisode[] = [];
-
- // Filter to spec-related graphs (exclude auto_build_memory and project_ prefixed)
- const specGraphs = graphs.filter(g =>
- !g.startsWith('project_') &&
- g !== 'auto_build_memory' &&
- g !== 'default_db'
- );
-
- for (const graph of specGraphs) {
- const episodic = await this.getEpisodicMemories(graph, Math.ceil(limit / specGraphs.length));
- memories.push(...episodic.map(m => ({ ...m, id: `${graph}:${m.id}` })));
- }
-
- // Sort by timestamp descending
- memories.sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime());
-
- return memories.slice(0, limit);
- }
-
- /**
- * Search memories across all graphs
- */
- async searchMemories(query: string, limit: number = 20): Promise {
- const graphs = await this.listGraphs();
- const results: MemoryEpisode[] = [];
- const queryLower = query.toLowerCase();
-
- // Filter to spec-related graphs
- const specGraphs = graphs.filter(g =>
- !g.startsWith('project_') &&
- g !== 'auto_build_memory' &&
- g !== 'default_db'
- );
-
- for (const graph of specGraphs) {
- try {
- const redis = await this.getConnection();
-
- // Search in episodic nodes
- const episodicQuery = `
- MATCH (e:Episodic)
- WHERE toLower(e.name) CONTAINS '${queryLower}' OR toLower(e.content) CONTAINS '${queryLower}'
- RETURN e.uuid as uuid, e.name as name, e.created_at as created_at,
- e.content as content, e.source_description as description
- LIMIT ${Math.ceil(limit / specGraphs.length)}
- `;
-
- const episodicResult = await redis.call('GRAPH.QUERY', graph, episodicQuery) as unknown[];
- const episodes = parseGraphResult(episodicResult) as unknown as EpisodicNode[];
-
- results.push(...episodes.map(ep => ({
- id: `${graph}:${ep.uuid || ep.name}`,
- type: this.inferEpisodeType(ep.name, ep.content),
- timestamp: ep.created_at || new Date().toISOString(),
- content: ep.content || ep.source_description || ep.name,
- session_number: this.extractSessionNumber(ep.name),
- score: 1.0,
- })));
-
- // Search in entity nodes
- const entityQuery = `
- MATCH (e:Entity)
- WHERE toLower(e.name) CONTAINS '${queryLower}' OR toLower(e.summary) CONTAINS '${queryLower}'
- RETURN e.uuid as uuid, e.name as name, e.summary as summary
- LIMIT ${Math.ceil(limit / specGraphs.length)}
- `;
-
- const entityResult = await redis.call('GRAPH.QUERY', graph, entityQuery) as unknown[];
- const entities = parseGraphResult(entityResult) as unknown as EntityNode[];
-
- results.push(...entities
- .filter(ent => ent.summary)
- .map(ent => ({
- id: `${graph}:${ent.uuid || ent.name}`,
- type: this.inferEntityType(ent.name),
- timestamp: new Date().toISOString(),
- content: ent.summary || ent.name,
- score: 1.0,
- })));
- } catch (error) {
- console.error(`Failed to search memories in ${graph}:`, error);
- }
- }
-
- return results.slice(0, limit);
- }
-
- /**
- * Test connection to FalkorDB
- */
- async testConnection(): Promise<{ success: boolean; message: string }> {
- try {
- const redis = await this.getConnection();
- await redis.ping();
- const graphs = await this.listGraphs();
- return {
- success: true,
- message: `Connected to FalkorDB with ${graphs.length} graphs`,
- };
- } catch (error) {
- return {
- success: false,
- message: error instanceof Error ? error.message : 'Connection failed',
- };
- }
- }
-
- /**
- * Infer the episode type from its name
- */
- private inferEpisodeType(name: string, content?: string): MemoryEpisode['type'] {
- const nameLower = (name || '').toLowerCase();
- const contentLower = (content || '').toLowerCase();
-
- if (nameLower.includes('session_') || contentLower.includes('"type": "session_insight"')) {
- return 'session_insight';
- }
- if (nameLower.includes('pattern') || contentLower.includes('"type": "pattern"')) {
- return 'pattern';
- }
- if (nameLower.includes('gotcha') || contentLower.includes('"type": "gotcha"')) {
- return 'gotcha';
- }
- if (nameLower.includes('codebase') || contentLower.includes('"type": "codebase_discovery"')) {
- return 'codebase_discovery';
- }
- return 'session_insight';
- }
-
- /**
- * Infer the entity type from its name
- */
- private inferEntityType(name: string): MemoryEpisode['type'] {
- const nameLower = (name || '').toLowerCase();
-
- if (nameLower.includes('pattern')) {
- return 'pattern';
- }
- if (nameLower.includes('gotcha')) {
- return 'gotcha';
- }
- if (nameLower.includes('file_insight') || nameLower.includes('codebase')) {
- return 'codebase_discovery';
- }
- return 'session_insight';
- }
-
- /**
- * Extract session number from episode name
- */
- private extractSessionNumber(name: string): number | undefined {
- const match = name.match(/session_(\d+)/i);
- return match ? parseInt(match[1], 10) : undefined;
- }
-}
-
-// Singleton instance for reuse
-let serviceInstance: FalkorDBService | null = null;
-
-/**
- * Get or create a FalkorDB service instance
- */
-export function getFalkorDBService(config: FalkorDBConfig): FalkorDBService {
- if (!serviceInstance ||
- serviceInstance['config'].host !== config.host ||
- serviceInstance['config'].port !== config.port) {
- // Close existing connection if config changed
- if (serviceInstance) {
- serviceInstance.close().catch(() => {});
- }
- serviceInstance = new FalkorDBService(config);
- }
- return serviceInstance;
-}
-
-/**
- * Close the singleton service instance
- */
-export async function closeFalkorDBService(): Promise {
- if (serviceInstance) {
- await serviceInstance.close();
- serviceInstance = null;
- }
-}
diff --git a/auto-claude-ui/src/main/ipc-handlers.ts.backup b/auto-claude-ui/src/main/ipc-handlers.ts.backup
index b0fd5db5..2773f823 100644
--- a/auto-claude-ui/src/main/ipc-handlers.ts.backup
+++ b/auto-claude-ui/src/main/ipc-handlers.ts.backup
@@ -1256,7 +1256,7 @@ export function setupIpcHandlers(
try {
// Set status to in_progress for the restart
newStatus = 'in_progress';
-
+
// Update plan status for restart
if (plan) {
plan.status = 'in_progress';
@@ -1277,7 +1277,7 @@ export function setupIpcHandlers(
const specsBaseDir = getSpecsDir(project.autoBuildPath);
const specDirForWatcher = path.join(project.path, specsBaseDir, task.specId);
fileWatcher.watch(taskId, specDirForWatcher);
-
+
agentManager.startTaskExecution(
taskId,
project.path,
@@ -1312,7 +1312,7 @@ export function setupIpcHandlers(
taskId,
recovered: true,
newStatus,
- message: autoRestarted
+ message: autoRestarted
? 'Task recovered and restarted successfully'
: `Task recovered successfully and moved to ${newStatus}`,
autoRestarted
@@ -2418,12 +2418,12 @@ export function setupIpcHandlers(
});
}
- return {
- success: true,
- data: {
+ return {
+ success: true,
+ data: {
terminalId,
message: `A terminal has been opened to authenticate "${profile.name}". Complete the OAuth flow in your browser, then copy the token shown in the terminal.`
- }
+ }
};
} catch (error) {
console.error('[IPC] Failed to initialize Claude profile:', error);
diff --git a/auto-claude-ui/src/main/ipc-handlers/changelog-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/changelog-handlers.ts
index 5329708a..f5a1a99f 100644
--- a/auto-claude-ui/src/main/ipc-handlers/changelog-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/changelog-handlers.ts
@@ -1,7 +1,7 @@
import { ipcMain } from 'electron';
import type { BrowserWindow } from 'electron';
import path from 'path';
-import { existsSync, mkdirSync, writeFileSync } from 'fs';
+import { existsSync, mkdirSync, writeFileSync, readFileSync } from 'fs';
import { IPC_CHANNELS, getSpecsDir } from '../../shared/constants';
import type {
IPCResult,
@@ -375,6 +375,46 @@ export function registerChangelogHandlers(
}
);
+ ipcMain.handle(
+ IPC_CHANNELS.CHANGELOG_READ_LOCAL_IMAGE,
+ async (_, projectPath: string, relativePath: string): Promise> => {
+ try {
+ // Construct full path from project path and relative path
+ const fullPath = path.join(projectPath, relativePath);
+
+ // Verify the file exists
+ if (!existsSync(fullPath)) {
+ return { success: false, error: `Image not found: ${relativePath}` };
+ }
+
+ // Read the file and convert to base64
+ const buffer = readFileSync(fullPath);
+ const base64 = buffer.toString('base64');
+
+ // Determine MIME type from extension
+ const ext = path.extname(relativePath).toLowerCase();
+ const mimeTypes: Record = {
+ '.png': 'image/png',
+ '.jpg': 'image/jpeg',
+ '.jpeg': 'image/jpeg',
+ '.gif': 'image/gif',
+ '.webp': 'image/webp',
+ '.svg': 'image/svg+xml'
+ };
+ const mimeType = mimeTypes[ext] || 'image/png';
+
+ // Return as data URL
+ const dataUrl = `data:${mimeType};base64,${base64}`;
+ return { success: true, data: dataUrl };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to read image'
+ };
+ }
+ }
+ );
+
// ============================================
// Changelog Agent Events → Renderer
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/context/memory-data-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/context/memory-data-handlers.ts
index 34c39ef6..302c5671 100644
--- a/auto-claude-ui/src/main/ipc-handlers/context/memory-data-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/context/memory-data-handlers.ts
@@ -9,11 +9,11 @@ import type {
ContextSearchResult
} from '../../../shared/types';
import { projectStore } from '../../project-store';
-import { getFalkorDBService } from '../../falkordb-service';
+import { getMemoryService, isKuzuAvailable } from '../../memory-service';
import {
loadProjectEnvVars,
isGraphitiEnabled,
- getGraphitiConnectionDetails
+ getGraphitiDatabaseDetails
} from './utils';
/**
@@ -169,20 +169,20 @@ export function registerMemoryDataHandlers(
const projectEnvVars = loadProjectEnvVars(project.path, project.autoBuildPath);
const graphitiEnabled = isGraphitiEnabled(projectEnvVars);
- // Try FalkorDB first if available
- if (graphitiEnabled) {
+ // Try LadybugDB first if available
+ if (graphitiEnabled && isKuzuAvailable()) {
try {
- const connDetails = getGraphitiConnectionDetails(projectEnvVars);
- const falkorService = getFalkorDBService({
- host: connDetails.host,
- port: connDetails.port,
+ const dbDetails = getGraphitiDatabaseDetails(projectEnvVars);
+ const memoryService = getMemoryService({
+ dbPath: dbDetails.dbPath,
+ database: dbDetails.database,
});
- const falkorMemories = await falkorService.getAllMemories(limit);
- if (falkorMemories.length > 0) {
- return { success: true, data: falkorMemories };
+ const graphMemories = await memoryService.getEpisodicMemories(limit);
+ if (graphMemories.length > 0) {
+ return { success: true, data: graphMemories };
}
} catch (error) {
- console.warn('Failed to get memories from FalkorDB, falling back to file-based:', error);
+ console.warn('Failed to get memories from LadybugDB, falling back to file-based:', error);
}
}
@@ -207,19 +207,19 @@ export function registerMemoryDataHandlers(
const projectEnvVars = loadProjectEnvVars(project.path, project.autoBuildPath);
const graphitiEnabled = isGraphitiEnabled(projectEnvVars);
- // Try FalkorDB search if available
- if (graphitiEnabled) {
+ // Try LadybugDB search if available
+ if (graphitiEnabled && isKuzuAvailable()) {
try {
- const connDetails = getGraphitiConnectionDetails(projectEnvVars);
- const falkorService = getFalkorDBService({
- host: connDetails.host,
- port: connDetails.port,
+ const dbDetails = getGraphitiDatabaseDetails(projectEnvVars);
+ const memoryService = getMemoryService({
+ dbPath: dbDetails.dbPath,
+ database: dbDetails.database,
});
- const falkorResults = await falkorService.searchMemories(query, 20);
- if (falkorResults.length > 0) {
+ const graphResults = await memoryService.searchMemories(query, 20);
+ if (graphResults.length > 0) {
return {
success: true,
- data: falkorResults.map(r => ({
+ data: graphResults.map(r => ({
content: r.content,
score: r.score || 1.0,
type: r.type
@@ -227,7 +227,7 @@ export function registerMemoryDataHandlers(
};
}
} catch (error) {
- console.warn('Failed to search FalkorDB, falling back to file-based:', error);
+ console.warn('Failed to search LadybugDB, falling back to file-based:', error);
}
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/context/memory-status-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/context/memory-status-handlers.ts
index 2dea6252..7dbd73b0 100644
--- a/auto-claude-ui/src/main/ipc-handlers/context/memory-status-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/context/memory-status-handlers.ts
@@ -10,7 +10,7 @@ import {
loadGlobalSettings,
isGraphitiEnabled,
hasOpenAIKey,
- getGraphitiConnectionDetails
+ getGraphitiDatabaseDetails
} from './utils';
/**
@@ -65,13 +65,12 @@ export function buildMemoryStatus(
// If we have initialized state from specs, use it
if (memoryState?.initialized) {
- const connDetails = getGraphitiConnectionDetails(projectEnvVars);
+ const dbDetails = getGraphitiDatabaseDetails(projectEnvVars);
return {
enabled: true,
available: true,
database: memoryState.database || 'auto_claude_memory',
- host: connDetails.host,
- port: connDetails.port
+ dbPath: dbDetails.dbPath
};
}
@@ -95,13 +94,12 @@ export function buildMemoryStatus(
};
}
- const connDetails = getGraphitiConnectionDetails(projectEnvVars);
+ const dbDetails = getGraphitiDatabaseDetails(projectEnvVars);
return {
enabled: true,
available: true,
- host: connDetails.host,
- port: connDetails.port,
- database: connDetails.database
+ dbPath: dbDetails.dbPath,
+ database: dbDetails.database
};
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/context/project-context-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/context/project-context-handlers.ts
index d1624260..38e5c90f 100644
--- a/auto-claude-ui/src/main/ipc-handlers/context/project-context-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/context/project-context-handlers.ts
@@ -11,10 +11,11 @@ import type {
MemoryEpisode
} from '../../../shared/types';
import { projectStore } from '../../project-store';
-import { getFalkorDBService } from '../../falkordb-service';
+import { getMemoryService, isKuzuAvailable } from '../../memory-service';
import {
- getAutoBuildSourcePath
+ getGraphitiDatabaseDetails
} from './utils';
+import { getEffectiveSourcePath } from '../../updater/path-resolver';
import {
loadGraphitiStateFromSpecs,
buildMemoryStatus
@@ -39,34 +40,34 @@ function loadProjectIndex(projectPath: string): ProjectIndex | null {
}
/**
- * Load recent memories with FalkorDB fallback
+ * Load recent memories from LadybugDB with file-based fallback
*/
async function loadRecentMemories(
projectPath: string,
autoBuildPath: string | undefined,
memoryStatusAvailable: boolean,
- memoryHost?: string,
- memoryPort?: number
+ dbPath?: string,
+ database?: string
): Promise {
let recentMemories: MemoryEpisode[] = [];
- // Try to load from FalkorDB first if Graphiti is available
- if (memoryStatusAvailable && memoryHost && memoryPort) {
+ // Try to load from LadybugDB first if Graphiti is available and Kuzu is installed
+ if (memoryStatusAvailable && isKuzuAvailable() && dbPath && database) {
try {
- const falkorService = getFalkorDBService({
- host: memoryHost,
- port: memoryPort,
+ const memoryService = getMemoryService({
+ dbPath,
+ database,
});
- const falkorMemories = await falkorService.getAllMemories(20);
- if (falkorMemories.length > 0) {
- recentMemories = falkorMemories;
+ const graphMemories = await memoryService.getEpisodicMemories(20);
+ if (graphMemories.length > 0) {
+ recentMemories = graphMemories;
}
} catch (error) {
- console.warn('Failed to load memories from FalkorDB, falling back to file-based:', error);
+ console.warn('Failed to load memories from LadybugDB, falling back to file-based:', error);
}
}
- // Fall back to file-based memory if no FalkorDB memories found
+ // Fall back to file-based memory if no graph memories found
if (recentMemories.length === 0) {
const specsBaseDir = getSpecsDir(autoBuildPath);
const specsDir = path.join(projectPath, specsBaseDir);
@@ -110,8 +111,8 @@ export function registerProjectContextHandlers(
project.path,
project.autoBuildPath,
memoryStatus.available,
- memoryStatus.host,
- memoryStatus.port
+ memoryStatus.dbPath,
+ memoryStatus.database
);
return {
@@ -144,7 +145,7 @@ export function registerProjectContextHandlers(
try {
// Run the analyzer script to regenerate project_index.json
- const autoBuildSource = getAutoBuildSourcePath();
+ const autoBuildSource = getEffectiveSourcePath();
if (!autoBuildSource) {
return {
diff --git a/auto-claude-ui/src/main/ipc-handlers/context/utils.ts b/auto-claude-ui/src/main/ipc-handlers/context/utils.ts
index 5900429b..2bf502ef 100644
--- a/auto-claude-ui/src/main/ipc-handlers/context/utils.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/context/utils.ts
@@ -120,29 +120,21 @@ export function hasOpenAIKey(projectEnvVars: EnvironmentVars, globalSettings: Gl
}
/**
- * Get Graphiti connection details
+ * Get Graphiti database details (LadybugDB - embedded database)
*/
-export interface GraphitiConnectionDetails {
- host: string;
- port: number;
+export interface GraphitiDatabaseDetails {
+ dbPath: string;
database: string;
}
-export function getGraphitiConnectionDetails(projectEnvVars: EnvironmentVars): GraphitiConnectionDetails {
- const host = projectEnvVars['GRAPHITI_FALKORDB_HOST'] ||
- process.env.GRAPHITI_FALKORDB_HOST ||
- 'localhost';
-
- const port = parseInt(
- projectEnvVars['GRAPHITI_FALKORDB_PORT'] ||
- process.env.GRAPHITI_FALKORDB_PORT ||
- '6380',
- 10
- );
+export function getGraphitiDatabaseDetails(projectEnvVars: EnvironmentVars): GraphitiDatabaseDetails {
+ const dbPath = projectEnvVars['GRAPHITI_DB_PATH'] ||
+ process.env.GRAPHITI_DB_PATH ||
+ require('path').join(require('os').homedir(), '.auto-claude', 'memories');
const database = projectEnvVars['GRAPHITI_DATABASE'] ||
process.env.GRAPHITI_DATABASE ||
'auto_claude_memory';
- return { host, port, database };
+ return { dbPath, database };
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/docker-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/docker-handlers.ts
index 8df6a54f..7d818a80 100644
--- a/auto-claude-ui/src/main/ipc-handlers/docker-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/docker-handlers.ts
@@ -1,156 +1,20 @@
/**
- * Docker & FalkorDB IPC Handlers
+ * Docker & Infrastructure IPC Handlers
*
- * Provides automatic infrastructure detection for non-technical users.
- * When Graphiti is enabled, the UI can check Docker/FalkorDB status
- * and offer one-click solutions instead of manual terminal commands.
+ * DEPRECATED: This file is kept for backward compatibility.
+ * Memory infrastructure has moved to LadybugDB (no Docker required).
+ * See memory-handlers.ts for the new implementation.
+ *
+ * This file now re-exports from memory-handlers.ts
*/
-import { ipcMain } from 'electron';
-import { IPC_CHANNELS } from '../../shared/constants';
-import type { IPCResult, InfrastructureStatus } from '../../shared/types';
-import {
- getInfrastructureStatus,
- startFalkorDB,
- stopFalkorDB,
- openDockerDesktop,
- getDockerDownloadUrl,
- validateFalkorDBConnection,
- validateOpenAIApiKey,
- testGraphitiConnection,
- type GraphitiValidationResult,
-} from '../docker-service';
+import { registerMemoryHandlers } from './memory-handlers';
/**
* Register all Docker-related IPC handlers
+ * @deprecated Use registerMemoryHandlers() instead
*/
export function registerDockerHandlers(): void {
- // Get infrastructure status (Docker + FalkorDB)
- ipcMain.handle(
- IPC_CHANNELS.DOCKER_STATUS,
- async (_, port?: number): Promise> => {
- try {
- const status = await getInfrastructureStatus(port);
- return { success: true, data: status };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to check Docker status',
- };
- }
- }
- );
-
- // Start FalkorDB container
- ipcMain.handle(
- IPC_CHANNELS.DOCKER_START_FALKORDB,
- async (_, port?: number): Promise> => {
- try {
- const result = await startFalkorDB(port);
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to start FalkorDB',
- };
- }
- }
- );
-
- // Stop FalkorDB container
- ipcMain.handle(
- IPC_CHANNELS.DOCKER_STOP_FALKORDB,
- async (): Promise> => {
- try {
- const result = await stopFalkorDB();
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to stop FalkorDB',
- };
- }
- }
- );
-
- // Open Docker Desktop application
- ipcMain.handle(
- IPC_CHANNELS.DOCKER_OPEN_DESKTOP,
- async (): Promise> => {
- try {
- const result = await openDockerDesktop();
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to open Docker Desktop',
- };
- }
- }
- );
-
- // Get Docker download URL
- ipcMain.handle(IPC_CHANNELS.DOCKER_GET_DOWNLOAD_URL, async (): Promise => {
- return getDockerDownloadUrl();
- });
-
- // ============================================
- // Graphiti Validation Handlers
- // ============================================
-
- // Validate FalkorDB connection
- ipcMain.handle(
- IPC_CHANNELS.GRAPHITI_VALIDATE_FALKORDB,
- async (_, uri: string): Promise> => {
- try {
- const result = await validateFalkorDBConnection(uri);
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to validate FalkorDB connection',
- };
- }
- }
- );
-
- // Validate OpenAI API key
- ipcMain.handle(
- IPC_CHANNELS.GRAPHITI_VALIDATE_OPENAI,
- async (_, apiKey: string): Promise> => {
- try {
- const result = await validateOpenAIApiKey(apiKey);
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to validate OpenAI API key',
- };
- }
- }
- );
-
- // Test full Graphiti connection (FalkorDB + OpenAI)
- ipcMain.handle(
- IPC_CHANNELS.GRAPHITI_TEST_CONNECTION,
- async (
- _,
- falkorDbUri: string,
- openAiApiKey: string
- ): Promise> => {
- try {
- const result = await testGraphitiConnection(falkorDbUri, openAiApiKey);
- return { success: true, data: result };
- } catch (error) {
- return {
- success: false,
- error: error instanceof Error ? error.message : 'Failed to test Graphiti connection',
- };
- }
- }
- );
+ // Register the new memory handlers instead
+ registerMemoryHandlers();
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/env-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/env-handlers.ts
index a210d1a6..04b550ee 100644
--- a/auto-claude-ui/src/main/ipc-handlers/env-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/env-handlers.ts
@@ -69,56 +69,42 @@ export function registerEnvHandlers(
if (config.graphitiEnabled !== undefined) {
existingVars['GRAPHITI_ENABLED'] = config.graphitiEnabled ? 'true' : 'false';
}
- // Graphiti Provider Configuration
+ // Memory Provider Configuration (embeddings only - LLM uses Claude SDK)
if (config.graphitiProviderConfig) {
const pc = config.graphitiProviderConfig;
- if (pc.llmProvider) existingVars['GRAPHITI_LLM_PROVIDER'] = pc.llmProvider;
+ // Embedding provider only (LLM provider removed - Claude SDK handles RAG)
if (pc.embeddingProvider) existingVars['GRAPHITI_EMBEDDER_PROVIDER'] = pc.embeddingProvider;
- // OpenAI
+ // OpenAI Embeddings
if (pc.openaiApiKey) existingVars['OPENAI_API_KEY'] = pc.openaiApiKey;
- if (pc.openaiModel) existingVars['OPENAI_MODEL'] = pc.openaiModel;
if (pc.openaiEmbeddingModel) existingVars['OPENAI_EMBEDDING_MODEL'] = pc.openaiEmbeddingModel;
- // Anthropic
- if (pc.anthropicApiKey) existingVars['ANTHROPIC_API_KEY'] = pc.anthropicApiKey;
- if (pc.anthropicModel) existingVars['GRAPHITI_ANTHROPIC_MODEL'] = pc.anthropicModel;
- // Azure OpenAI
+ // Azure OpenAI Embeddings
if (pc.azureOpenaiApiKey) existingVars['AZURE_OPENAI_API_KEY'] = pc.azureOpenaiApiKey;
if (pc.azureOpenaiBaseUrl) existingVars['AZURE_OPENAI_BASE_URL'] = pc.azureOpenaiBaseUrl;
- if (pc.azureOpenaiLlmDeployment) existingVars['AZURE_OPENAI_LLM_DEPLOYMENT'] = pc.azureOpenaiLlmDeployment;
if (pc.azureOpenaiEmbeddingDeployment) existingVars['AZURE_OPENAI_EMBEDDING_DEPLOYMENT'] = pc.azureOpenaiEmbeddingDeployment;
- // Voyage
+ // Voyage Embeddings
if (pc.voyageApiKey) existingVars['VOYAGE_API_KEY'] = pc.voyageApiKey;
if (pc.voyageEmbeddingModel) existingVars['VOYAGE_EMBEDDING_MODEL'] = pc.voyageEmbeddingModel;
- // Google
+ // Google Embeddings
if (pc.googleApiKey) existingVars['GOOGLE_API_KEY'] = pc.googleApiKey;
- if (pc.googleLlmModel) existingVars['GOOGLE_LLM_MODEL'] = pc.googleLlmModel;
if (pc.googleEmbeddingModel) existingVars['GOOGLE_EMBEDDING_MODEL'] = pc.googleEmbeddingModel;
- // Ollama
+ // Ollama Embeddings
if (pc.ollamaBaseUrl) existingVars['OLLAMA_BASE_URL'] = pc.ollamaBaseUrl;
- if (pc.ollamaLlmModel) existingVars['OLLAMA_LLM_MODEL'] = pc.ollamaLlmModel;
if (pc.ollamaEmbeddingModel) existingVars['OLLAMA_EMBEDDING_MODEL'] = pc.ollamaEmbeddingModel;
if (pc.ollamaEmbeddingDim) existingVars['OLLAMA_EMBEDDING_DIM'] = String(pc.ollamaEmbeddingDim);
- // FalkorDB
- if (pc.falkorDbHost) existingVars['GRAPHITI_FALKORDB_HOST'] = pc.falkorDbHost;
- if (pc.falkorDbPort) existingVars['GRAPHITI_FALKORDB_PORT'] = String(pc.falkorDbPort);
- if (pc.falkorDbPassword) existingVars['GRAPHITI_FALKORDB_PASSWORD'] = pc.falkorDbPassword;
+ // LadybugDB (embedded database)
+ if (pc.dbPath) existingVars['GRAPHITI_DB_PATH'] = pc.dbPath;
+ if (pc.database) existingVars['GRAPHITI_DATABASE'] = pc.database;
}
// Legacy fields (still supported)
if (config.openaiApiKey !== undefined) {
existingVars['OPENAI_API_KEY'] = config.openaiApiKey;
}
- if (config.graphitiFalkorDbHost !== undefined) {
- existingVars['GRAPHITI_FALKORDB_HOST'] = config.graphitiFalkorDbHost;
- }
- if (config.graphitiFalkorDbPort !== undefined) {
- existingVars['GRAPHITI_FALKORDB_PORT'] = String(config.graphitiFalkorDbPort);
- }
- if (config.graphitiFalkorDbPassword !== undefined) {
- existingVars['GRAPHITI_FALKORDB_PASSWORD'] = config.graphitiFalkorDbPassword;
- }
if (config.graphitiDatabase !== undefined) {
existingVars['GRAPHITI_DATABASE'] = config.graphitiDatabase;
}
+ if (config.graphitiDbPath !== undefined) {
+ existingVars['GRAPHITI_DB_PATH'] = config.graphitiDbPath;
+ }
if (config.enableFancyUi !== undefined) {
existingVars['ENABLE_FANCY_UI'] = config.enableFancyUi ? 'true' : 'false';
}
@@ -161,50 +147,39 @@ ${existingVars['DEFAULT_BRANCH'] ? `DEFAULT_BRANCH=${existingVars['DEFAULT_BRANC
${existingVars['ENABLE_FANCY_UI'] !== undefined ? `ENABLE_FANCY_UI=${existingVars['ENABLE_FANCY_UI']}` : '# ENABLE_FANCY_UI=true'}
# =============================================================================
-# GRAPHITI MEMORY INTEGRATION (OPTIONAL)
-# Multi-provider support: OpenAI, Anthropic, Google AI, Azure OpenAI, Ollama, Voyage
+# MEMORY INTEGRATION
+# Embedding providers: OpenAI, Google AI, Azure OpenAI, Ollama, Voyage
# =============================================================================
-${existingVars['GRAPHITI_ENABLED'] ? `GRAPHITI_ENABLED=${existingVars['GRAPHITI_ENABLED']}` : '# GRAPHITI_ENABLED=false'}
+${existingVars['GRAPHITI_ENABLED'] ? `GRAPHITI_ENABLED=${existingVars['GRAPHITI_ENABLED']}` : '# GRAPHITI_ENABLED=true'}
-# Provider Selection
-${existingVars['GRAPHITI_LLM_PROVIDER'] ? `GRAPHITI_LLM_PROVIDER=${existingVars['GRAPHITI_LLM_PROVIDER']}` : '# GRAPHITI_LLM_PROVIDER=openai'}
-${existingVars['GRAPHITI_EMBEDDER_PROVIDER'] ? `GRAPHITI_EMBEDDER_PROVIDER=${existingVars['GRAPHITI_EMBEDDER_PROVIDER']}` : '# GRAPHITI_EMBEDDER_PROVIDER=openai'}
+# Embedding Provider (for semantic search - optional, keyword search works without)
+${existingVars['GRAPHITI_EMBEDDER_PROVIDER'] ? `GRAPHITI_EMBEDDER_PROVIDER=${existingVars['GRAPHITI_EMBEDDER_PROVIDER']}` : '# GRAPHITI_EMBEDDER_PROVIDER=ollama'}
-# OpenAI Settings
+# OpenAI Embeddings
${existingVars['OPENAI_API_KEY'] ? `OPENAI_API_KEY=${existingVars['OPENAI_API_KEY']}` : '# OPENAI_API_KEY='}
-${existingVars['OPENAI_MODEL'] ? `OPENAI_MODEL=${existingVars['OPENAI_MODEL']}` : '# OPENAI_MODEL=gpt-4o-mini'}
${existingVars['OPENAI_EMBEDDING_MODEL'] ? `OPENAI_EMBEDDING_MODEL=${existingVars['OPENAI_EMBEDDING_MODEL']}` : '# OPENAI_EMBEDDING_MODEL=text-embedding-3-small'}
-# Anthropic Settings (LLM only - use with Voyage or OpenAI for embeddings)
-${existingVars['ANTHROPIC_API_KEY'] ? `ANTHROPIC_API_KEY=${existingVars['ANTHROPIC_API_KEY']}` : '# ANTHROPIC_API_KEY='}
-${existingVars['GRAPHITI_ANTHROPIC_MODEL'] ? `GRAPHITI_ANTHROPIC_MODEL=${existingVars['GRAPHITI_ANTHROPIC_MODEL']}` : '# GRAPHITI_ANTHROPIC_MODEL=claude-sonnet-4-5-latest'}
-
-# Azure OpenAI Settings
+# Azure OpenAI Embeddings
${existingVars['AZURE_OPENAI_API_KEY'] ? `AZURE_OPENAI_API_KEY=${existingVars['AZURE_OPENAI_API_KEY']}` : '# AZURE_OPENAI_API_KEY='}
${existingVars['AZURE_OPENAI_BASE_URL'] ? `AZURE_OPENAI_BASE_URL=${existingVars['AZURE_OPENAI_BASE_URL']}` : '# AZURE_OPENAI_BASE_URL='}
-${existingVars['AZURE_OPENAI_LLM_DEPLOYMENT'] ? `AZURE_OPENAI_LLM_DEPLOYMENT=${existingVars['AZURE_OPENAI_LLM_DEPLOYMENT']}` : '# AZURE_OPENAI_LLM_DEPLOYMENT='}
${existingVars['AZURE_OPENAI_EMBEDDING_DEPLOYMENT'] ? `AZURE_OPENAI_EMBEDDING_DEPLOYMENT=${existingVars['AZURE_OPENAI_EMBEDDING_DEPLOYMENT']}` : '# AZURE_OPENAI_EMBEDDING_DEPLOYMENT='}
-# Voyage AI Settings (Embeddings only - great with Anthropic)
+# Voyage AI Embeddings
${existingVars['VOYAGE_API_KEY'] ? `VOYAGE_API_KEY=${existingVars['VOYAGE_API_KEY']}` : '# VOYAGE_API_KEY='}
${existingVars['VOYAGE_EMBEDDING_MODEL'] ? `VOYAGE_EMBEDDING_MODEL=${existingVars['VOYAGE_EMBEDDING_MODEL']}` : '# VOYAGE_EMBEDDING_MODEL=voyage-3'}
-# Google AI Settings (LLM and Embeddings - Gemini)
+# Google AI Embeddings
${existingVars['GOOGLE_API_KEY'] ? `GOOGLE_API_KEY=${existingVars['GOOGLE_API_KEY']}` : '# GOOGLE_API_KEY='}
-${existingVars['GOOGLE_LLM_MODEL'] ? `GOOGLE_LLM_MODEL=${existingVars['GOOGLE_LLM_MODEL']}` : '# GOOGLE_LLM_MODEL=gemini-2.0-flash'}
${existingVars['GOOGLE_EMBEDDING_MODEL'] ? `GOOGLE_EMBEDDING_MODEL=${existingVars['GOOGLE_EMBEDDING_MODEL']}` : '# GOOGLE_EMBEDDING_MODEL=text-embedding-004'}
-# Ollama Settings (Local - free)
+# Ollama Embeddings (Local - free)
${existingVars['OLLAMA_BASE_URL'] ? `OLLAMA_BASE_URL=${existingVars['OLLAMA_BASE_URL']}` : '# OLLAMA_BASE_URL=http://localhost:11434'}
-${existingVars['OLLAMA_LLM_MODEL'] ? `OLLAMA_LLM_MODEL=${existingVars['OLLAMA_LLM_MODEL']}` : '# OLLAMA_LLM_MODEL='}
-${existingVars['OLLAMA_EMBEDDING_MODEL'] ? `OLLAMA_EMBEDDING_MODEL=${existingVars['OLLAMA_EMBEDDING_MODEL']}` : '# OLLAMA_EMBEDDING_MODEL='}
+${existingVars['OLLAMA_EMBEDDING_MODEL'] ? `OLLAMA_EMBEDDING_MODEL=${existingVars['OLLAMA_EMBEDDING_MODEL']}` : '# OLLAMA_EMBEDDING_MODEL=embeddinggemma'}
${existingVars['OLLAMA_EMBEDDING_DIM'] ? `OLLAMA_EMBEDDING_DIM=${existingVars['OLLAMA_EMBEDDING_DIM']}` : '# OLLAMA_EMBEDDING_DIM=768'}
-# FalkorDB Connection
-${existingVars['GRAPHITI_FALKORDB_HOST'] ? `GRAPHITI_FALKORDB_HOST=${existingVars['GRAPHITI_FALKORDB_HOST']}` : '# GRAPHITI_FALKORDB_HOST=localhost'}
-${existingVars['GRAPHITI_FALKORDB_PORT'] ? `GRAPHITI_FALKORDB_PORT=${existingVars['GRAPHITI_FALKORDB_PORT']}` : '# GRAPHITI_FALKORDB_PORT=6380'}
-${existingVars['GRAPHITI_FALKORDB_PASSWORD'] ? `GRAPHITI_FALKORDB_PASSWORD=${existingVars['GRAPHITI_FALKORDB_PASSWORD']}` : '# GRAPHITI_FALKORDB_PASSWORD='}
+# LadybugDB Database (embedded - no Docker required)
${existingVars['GRAPHITI_DATABASE'] ? `GRAPHITI_DATABASE=${existingVars['GRAPHITI_DATABASE']}` : '# GRAPHITI_DATABASE=auto_claude_memory'}
+${existingVars['GRAPHITI_DB_PATH'] ? `GRAPHITI_DB_PATH=${existingVars['GRAPHITI_DB_PATH']}` : '# GRAPHITI_DB_PATH=~/.auto-claude/memories'}
`;
return content;
@@ -316,59 +291,43 @@ ${existingVars['GRAPHITI_DATABASE'] ? `GRAPHITI_DATABASE=${existingVars['GRAPHIT
config.openaiKeyIsGlobal = true;
}
- if (vars['GRAPHITI_FALKORDB_HOST']) {
- config.graphitiFalkorDbHost = vars['GRAPHITI_FALKORDB_HOST'];
- }
- if (vars['GRAPHITI_FALKORDB_PORT']) {
- config.graphitiFalkorDbPort = parseInt(vars['GRAPHITI_FALKORDB_PORT'], 10);
- }
- if (vars['GRAPHITI_FALKORDB_PASSWORD']) {
- config.graphitiFalkorDbPassword = vars['GRAPHITI_FALKORDB_PASSWORD'];
- }
if (vars['GRAPHITI_DATABASE']) {
config.graphitiDatabase = vars['GRAPHITI_DATABASE'];
}
+ if (vars['GRAPHITI_DB_PATH']) {
+ config.graphitiDbPath = vars['GRAPHITI_DB_PATH'];
+ }
if (vars['ENABLE_FANCY_UI']?.toLowerCase() === 'false') {
config.enableFancyUi = false;
}
- // Populate graphitiProviderConfig from .env file
- const llmProvider = vars['GRAPHITI_LLM_PROVIDER'];
+ // Populate graphitiProviderConfig from .env file (embeddings only - no LLM provider)
const embeddingProvider = vars['GRAPHITI_EMBEDDER_PROVIDER'];
- if (llmProvider || embeddingProvider || vars['ANTHROPIC_API_KEY'] || vars['AZURE_OPENAI_API_KEY'] ||
+ if (embeddingProvider || vars['AZURE_OPENAI_API_KEY'] ||
vars['VOYAGE_API_KEY'] || vars['GOOGLE_API_KEY'] || vars['OLLAMA_BASE_URL']) {
config.graphitiProviderConfig = {
- llmProvider: (llmProvider as 'openai' | 'anthropic' | 'azure_openai' | 'ollama' | 'google' | 'groq') || 'openai',
- embeddingProvider: (embeddingProvider as 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google' | 'huggingface') || 'openai',
- // OpenAI
+ embeddingProvider: (embeddingProvider as 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google') || 'ollama',
+ // OpenAI Embeddings
openaiApiKey: vars['OPENAI_API_KEY'],
- openaiModel: vars['OPENAI_MODEL'],
openaiEmbeddingModel: vars['OPENAI_EMBEDDING_MODEL'],
- // Anthropic
- anthropicApiKey: vars['ANTHROPIC_API_KEY'],
- anthropicModel: vars['GRAPHITI_ANTHROPIC_MODEL'],
- // Azure OpenAI
+ // Azure OpenAI Embeddings
azureOpenaiApiKey: vars['AZURE_OPENAI_API_KEY'],
azureOpenaiBaseUrl: vars['AZURE_OPENAI_BASE_URL'],
- azureOpenaiLlmDeployment: vars['AZURE_OPENAI_LLM_DEPLOYMENT'],
azureOpenaiEmbeddingDeployment: vars['AZURE_OPENAI_EMBEDDING_DEPLOYMENT'],
- // Voyage
+ // Voyage Embeddings
voyageApiKey: vars['VOYAGE_API_KEY'],
voyageEmbeddingModel: vars['VOYAGE_EMBEDDING_MODEL'],
- // Google
+ // Google Embeddings
googleApiKey: vars['GOOGLE_API_KEY'],
- googleLlmModel: vars['GOOGLE_LLM_MODEL'],
googleEmbeddingModel: vars['GOOGLE_EMBEDDING_MODEL'],
- // Ollama
+ // Ollama Embeddings
ollamaBaseUrl: vars['OLLAMA_BASE_URL'],
- ollamaLlmModel: vars['OLLAMA_LLM_MODEL'],
ollamaEmbeddingModel: vars['OLLAMA_EMBEDDING_MODEL'],
ollamaEmbeddingDim: vars['OLLAMA_EMBEDDING_DIM'] ? parseInt(vars['OLLAMA_EMBEDDING_DIM'], 10) : undefined,
- // FalkorDB
- falkorDbHost: vars['GRAPHITI_FALKORDB_HOST'],
- falkorDbPort: vars['GRAPHITI_FALKORDB_PORT'] ? parseInt(vars['GRAPHITI_FALKORDB_PORT'], 10) : undefined,
- falkorDbPassword: vars['GRAPHITI_FALKORDB_PASSWORD'],
+ // LadybugDB
+ database: vars['GRAPHITI_DATABASE'],
+ dbPath: vars['GRAPHITI_DB_PATH'],
};
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/github/oauth-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/github/oauth-handlers.ts
index 5fb9b9f7..b42def94 100644
--- a/auto-claude-ui/src/main/ipc-handlers/github/oauth-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/github/oauth-handlers.ts
@@ -531,7 +531,7 @@ export function registerGetGitHubBranches(): void {
IPC_CHANNELS.GITHUB_GET_BRANCHES,
async (_event: Electron.IpcMainInvokeEvent, repo: string, _token: string): Promise> => {
debugLog('getGitHubBranches handler called', { repo });
-
+
// Validate repo format to prevent command injection
if (!isValidGitHubRepo(repo)) {
debugLog('Invalid repo format rejected:', repo);
@@ -540,7 +540,7 @@ export function registerGetGitHubBranches(): void {
error: 'Invalid repository format. Expected: owner/repo'
};
}
-
+
try {
// Use gh CLI to list branches (uses authenticated session)
// Use execFileSync with separate arguments to avoid shell injection
@@ -573,6 +573,203 @@ export function registerGetGitHubBranches(): void {
);
}
+/**
+ * Create a new GitHub repository using gh CLI
+ */
+export function registerCreateGitHubRepo(): void {
+ ipcMain.handle(
+ IPC_CHANNELS.GITHUB_CREATE_REPO,
+ async (
+ _event: Electron.IpcMainInvokeEvent,
+ repoName: string,
+ options: { description?: string; isPrivate?: boolean; projectPath: string; owner?: string }
+ ): Promise> => {
+ debugLog('createGitHubRepo handler called', { repoName, options });
+
+ // Validate repo name - only alphanumeric, hyphens, underscores
+ if (!/^[A-Za-z0-9_.-]+$/.test(repoName)) {
+ return {
+ success: false,
+ error: 'Invalid repository name. Use only letters, numbers, hyphens, underscores, and periods.'
+ };
+ }
+
+ try {
+ // Get the authenticated username
+ const username = execSync('gh api user --jq .login', {
+ encoding: 'utf-8',
+ stdio: 'pipe'
+ }).trim();
+
+ // Determine the owner (personal account or organization)
+ const owner = options.owner || username;
+ const isOrgRepo = owner !== username;
+
+ // Build the full repo name (owner/repo format for orgs)
+ const repoFullName = isOrgRepo ? `${owner}/${repoName}` : repoName;
+
+ // Build gh repo create command arguments
+ const args = ['repo', 'create', repoFullName, '--source', options.projectPath];
+
+ if (options.isPrivate) {
+ args.push('--private');
+ } else {
+ args.push('--public');
+ }
+
+ if (options.description) {
+ args.push('--description', options.description);
+ }
+
+ // Push to remote after creation
+ args.push('--push');
+
+ debugLog('Running: gh', args);
+ const output = execFileSync('gh', args, {
+ encoding: 'utf-8',
+ cwd: options.projectPath,
+ stdio: 'pipe'
+ });
+
+ debugLog('gh repo create output:', output);
+
+ const fullName = `${owner}/${repoName}`;
+ const url = `https://github.com/${fullName}`;
+
+ debugLog('Created repo:', { fullName, url });
+
+ return {
+ success: true,
+ data: { fullName, url }
+ };
+ } catch (error) {
+ const errorMessage = error instanceof Error ? error.message : 'Failed to create repository';
+ debugLog('Failed to create repo:', errorMessage);
+ return {
+ success: false,
+ error: errorMessage
+ };
+ }
+ }
+ );
+}
+
+/**
+ * Add a remote origin to a local git repository
+ */
+export function registerAddGitRemote(): void {
+ ipcMain.handle(
+ IPC_CHANNELS.GITHUB_ADD_REMOTE,
+ async (
+ _event: Electron.IpcMainInvokeEvent,
+ projectPath: string,
+ repoFullName: string
+ ): Promise> => {
+ debugLog('addGitRemote handler called', { projectPath, repoFullName });
+
+ // Validate repo format
+ if (!isValidGitHubRepo(repoFullName)) {
+ return {
+ success: false,
+ error: 'Invalid repository format. Expected: owner/repo'
+ };
+ }
+
+ const remoteUrl = `https://github.com/${repoFullName}.git`;
+
+ try {
+ // Check if origin already exists
+ try {
+ execSync('git remote get-url origin', {
+ cwd: projectPath,
+ encoding: 'utf-8',
+ stdio: 'pipe'
+ });
+ // Origin exists, remove it first
+ debugLog('Removing existing origin remote');
+ execSync('git remote remove origin', {
+ cwd: projectPath,
+ encoding: 'utf-8',
+ stdio: 'pipe'
+ });
+ } catch {
+ // No origin exists, which is fine
+ }
+
+ // Add the remote
+ debugLog('Adding remote origin:', remoteUrl);
+ execFileSync('git', ['remote', 'add', 'origin', remoteUrl], {
+ cwd: projectPath,
+ encoding: 'utf-8',
+ stdio: 'pipe'
+ });
+
+ debugLog('Remote added successfully');
+ return {
+ success: true,
+ data: { remoteUrl }
+ };
+ } catch (error) {
+ const errorMessage = error instanceof Error ? error.message : 'Failed to add remote';
+ debugLog('Failed to add remote:', errorMessage);
+ return {
+ success: false,
+ error: errorMessage
+ };
+ }
+ }
+ );
+}
+
+/**
+ * List user's GitHub organizations
+ */
+export function registerListGitHubOrgs(): void {
+ ipcMain.handle(
+ IPC_CHANNELS.GITHUB_LIST_ORGS,
+ async (): Promise }>> => {
+ debugLog('listGitHubOrgs handler called');
+
+ try {
+ // Get user's organizations
+ const output = execSync('gh api user/orgs --jq \'.[] | {login: .login, avatarUrl: .avatar_url}\'', {
+ encoding: 'utf-8',
+ stdio: 'pipe'
+ });
+
+ // Parse the JSON lines output
+ const orgs: Array<{ login: string; avatarUrl?: string }> = [];
+ const lines = output.trim().split('\n').filter(line => line.trim());
+
+ for (const line of lines) {
+ try {
+ const org = JSON.parse(line);
+ orgs.push({
+ login: org.login,
+ avatarUrl: org.avatarUrl
+ });
+ } catch {
+ // Skip invalid JSON lines
+ }
+ }
+
+ debugLog('Found organizations:', orgs.length);
+ return {
+ success: true,
+ data: { orgs }
+ };
+ } catch (error) {
+ const errorMessage = error instanceof Error ? error.message : 'Failed to list organizations';
+ debugLog('Failed to list orgs:', errorMessage);
+ return {
+ success: true, // Return success with empty array - user might not have any orgs
+ data: { orgs: [] }
+ };
+ }
+ }
+ );
+}
+
/**
* Register all GitHub OAuth handlers
*/
@@ -586,5 +783,8 @@ export function registerGithubOAuthHandlers(): void {
registerListUserRepos();
registerDetectGitHubRepo();
registerGetGitHubBranches();
+ registerCreateGitHubRepo();
+ registerAddGitRemote();
+ registerListGitHubOrgs();
debugLog('GitHub OAuth handlers registered');
}
diff --git a/auto-claude-ui/src/main/ipc-handlers/index.ts b/auto-claude-ui/src/main/ipc-handlers/index.ts
index afb75336..fbb2017f 100644
--- a/auto-claude-ui/src/main/ipc-handlers/index.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/index.ts
@@ -92,7 +92,7 @@ export function setupIpcHandlers(
// Insights handlers
registerInsightsHandlers(getMainWindow);
- // Docker & infrastructure handlers (for Graphiti/FalkorDB)
+ // Memory & infrastructure handlers (for Graphiti/LadybugDB)
registerDockerHandlers();
// App auto-update handlers
diff --git a/auto-claude-ui/src/main/ipc-handlers/memory-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/memory-handlers.ts
new file mode 100644
index 00000000..344e4c65
--- /dev/null
+++ b/auto-claude-ui/src/main/ipc-handlers/memory-handlers.ts
@@ -0,0 +1,532 @@
+/**
+ * Memory Infrastructure IPC Handlers
+ *
+ * Provides memory database status and validation for the Graphiti integration.
+ * Uses LadybugDB (embedded Kuzu-based database) - no Docker required.
+ */
+
+import { ipcMain } from 'electron';
+import { spawn } from 'child_process';
+import * as path from 'path';
+import * as fs from 'fs';
+import { IPC_CHANNELS } from '../../shared/constants';
+import type {
+ IPCResult,
+ InfrastructureStatus,
+ GraphitiValidationResult,
+ GraphitiConnectionTestResult,
+} from '../../shared/types';
+import {
+ getMemoryServiceStatus,
+ getMemoryService,
+ getDefaultDbPath,
+ isKuzuAvailable,
+} from '../memory-service';
+import { validateOpenAIApiKey } from '../api-validation-service';
+import { findPythonCommand, parsePythonCommand } from '../python-detector';
+
+// Ollama types
+interface OllamaStatus {
+ running: boolean;
+ url: string;
+ version?: string;
+ message?: string;
+}
+
+interface OllamaModel {
+ name: string;
+ size_bytes: number;
+ size_gb: number;
+ modified_at: string;
+ is_embedding: boolean;
+ embedding_dim?: number | null;
+ description?: string;
+}
+
+interface OllamaEmbeddingModel {
+ name: string;
+ embedding_dim: number | null;
+ description: string;
+ size_bytes: number;
+ size_gb: number;
+}
+
+interface OllamaRecommendedModel {
+ name: string;
+ description: string;
+ size_estimate: string;
+ dim: number;
+ installed: boolean;
+}
+
+interface OllamaPullResult {
+ model: string;
+ status: 'completed' | 'failed';
+ output: string[];
+}
+
+/**
+ * Execute the ollama_model_detector.py script
+ */
+async function executeOllamaDetector(
+ command: string,
+ baseUrl?: string
+): Promise<{ success: boolean; data?: unknown; error?: string }> {
+ const pythonCmd = findPythonCommand();
+ if (!pythonCmd) {
+ return { success: false, error: 'Python not found' };
+ }
+
+ // Find the ollama_model_detector.py script
+ const possiblePaths = [
+ path.resolve(__dirname, '..', '..', '..', 'auto-claude', 'ollama_model_detector.py'),
+ path.resolve(process.cwd(), 'auto-claude', 'ollama_model_detector.py'),
+ path.resolve(process.cwd(), '..', 'auto-claude', 'ollama_model_detector.py'),
+ ];
+
+ let scriptPath: string | null = null;
+ for (const p of possiblePaths) {
+ if (fs.existsSync(p)) {
+ scriptPath = p;
+ break;
+ }
+ }
+
+ if (!scriptPath) {
+ return { success: false, error: 'ollama_model_detector.py script not found' };
+ }
+
+ const [pythonExe, baseArgs] = parsePythonCommand(pythonCmd);
+ const args = [...baseArgs, scriptPath, command];
+ if (baseUrl) {
+ args.push('--base-url', baseUrl);
+ }
+
+ return new Promise((resolve) => {
+ let resolved = false;
+ const proc = spawn(pythonExe, args, {
+ stdio: ['ignore', 'pipe', 'pipe'],
+ });
+
+ let stdout = '';
+ let stderr = '';
+
+ proc.stdout.on('data', (data) => {
+ stdout += data.toString();
+ });
+
+ proc.stderr.on('data', (data) => {
+ stderr += data.toString();
+ });
+
+ // Single timeout mechanism to avoid race condition
+ const timeoutId = setTimeout(() => {
+ if (!resolved) {
+ resolved = true;
+ proc.kill();
+ resolve({ success: false, error: 'Timeout' });
+ }
+ }, 10000);
+
+ proc.on('close', (code) => {
+ if (resolved) return;
+ resolved = true;
+ clearTimeout(timeoutId);
+ if (code === 0 && stdout) {
+ try {
+ resolve(JSON.parse(stdout));
+ } catch {
+ resolve({ success: false, error: `Invalid JSON: ${stdout}` });
+ }
+ } else {
+ resolve({ success: false, error: stderr || `Exit code ${code}` });
+ }
+ });
+
+ proc.on('error', (err) => {
+ if (resolved) return;
+ resolved = true;
+ clearTimeout(timeoutId);
+ resolve({ success: false, error: err.message });
+ });
+ });
+}
+
+/**
+ * Register all memory-related IPC handlers
+ */
+export function registerMemoryHandlers(): void {
+ // Get memory infrastructure status
+ ipcMain.handle(
+ IPC_CHANNELS.MEMORY_STATUS,
+ async (_): Promise> => {
+ try {
+ const status = getMemoryServiceStatus();
+ return {
+ success: true,
+ data: {
+ memory: status,
+ ready: status.kuzuInstalled && status.databaseExists,
+ },
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to check memory status',
+ };
+ }
+ }
+ );
+
+ // List available databases
+ ipcMain.handle(
+ IPC_CHANNELS.MEMORY_LIST_DATABASES,
+ async (_, dbPath?: string): Promise> => {
+ try {
+ const status = getMemoryServiceStatus(dbPath);
+ return { success: true, data: status.databases };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to list databases',
+ };
+ }
+ }
+ );
+
+ // Test memory database connection
+ ipcMain.handle(
+ IPC_CHANNELS.MEMORY_TEST_CONNECTION,
+ async (_, dbPath?: string, database?: string): Promise> => {
+ try {
+ if (!isKuzuAvailable()) {
+ return {
+ success: true,
+ data: {
+ success: false,
+ message: 'kuzu-node is not installed. Memory features require Python 3.12+ with LadybugDB.',
+ },
+ };
+ }
+
+ const service = getMemoryService({
+ dbPath: dbPath || getDefaultDbPath(),
+ database: database || 'auto_claude_memory',
+ });
+
+ const result = await service.testConnection();
+ return { success: true, data: result };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to test connection',
+ };
+ }
+ }
+ );
+
+ // ============================================
+ // Graphiti Validation Handlers
+ // ============================================
+
+ // Validate LLM provider API key (OpenAI, Anthropic, etc.)
+ ipcMain.handle(
+ IPC_CHANNELS.GRAPHITI_VALIDATE_LLM,
+ async (_, provider: string, apiKey: string): Promise> => {
+ try {
+ // For now, we only validate OpenAI - other providers can be added later
+ if (provider === 'openai') {
+ const result = await validateOpenAIApiKey(apiKey);
+ return { success: true, data: result };
+ }
+
+ // For other providers, do basic validation
+ if (!apiKey || !apiKey.trim()) {
+ return {
+ success: true,
+ data: {
+ success: false,
+ message: 'API key is required',
+ },
+ };
+ }
+
+ return {
+ success: true,
+ data: {
+ success: true,
+ message: `${provider} API key format appears valid`,
+ details: { provider },
+ },
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to validate API key',
+ };
+ }
+ }
+ );
+
+ // Test full Graphiti connection (Database + LLM provider)
+ ipcMain.handle(
+ IPC_CHANNELS.GRAPHITI_TEST_CONNECTION,
+ async (
+ _,
+ config: {
+ dbPath?: string;
+ database?: string;
+ llmProvider: string;
+ apiKey: string;
+ }
+ ): Promise> => {
+ try {
+ // Test database connection
+ let databaseResult: GraphitiValidationResult;
+
+ if (!isKuzuAvailable()) {
+ databaseResult = {
+ success: false,
+ message: 'kuzu-node is not installed. Memory features require Python 3.12+ with LadybugDB.',
+ };
+ } else {
+ const service = getMemoryService({
+ dbPath: config.dbPath || getDefaultDbPath(),
+ database: config.database || 'auto_claude_memory',
+ });
+ databaseResult = await service.testConnection();
+ }
+
+ // Test LLM provider
+ let llmResult: GraphitiValidationResult;
+
+ if (config.llmProvider === 'openai') {
+ llmResult = await validateOpenAIApiKey(config.apiKey);
+ } else if (config.llmProvider === 'ollama') {
+ // Ollama doesn't need API key validation
+ llmResult = {
+ success: true,
+ message: 'Ollama (local) does not require API key validation',
+ details: { provider: 'ollama' },
+ };
+ } else {
+ // Basic validation for other providers
+ llmResult = config.apiKey && config.apiKey.trim()
+ ? {
+ success: true,
+ message: `${config.llmProvider} API key format appears valid`,
+ details: { provider: config.llmProvider },
+ }
+ : {
+ success: false,
+ message: 'API key is required',
+ };
+ }
+
+ return {
+ success: true,
+ data: {
+ database: databaseResult,
+ llmProvider: llmResult,
+ ready: databaseResult.success && llmResult.success,
+ },
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to test Graphiti connection',
+ };
+ }
+ }
+ );
+
+ // ============================================
+ // Ollama Model Detection Handlers
+ // ============================================
+
+ // Check if Ollama is running
+ ipcMain.handle(
+ IPC_CHANNELS.OLLAMA_CHECK_STATUS,
+ async (_, baseUrl?: string): Promise> => {
+ try {
+ const result = await executeOllamaDetector('check-status', baseUrl);
+
+ if (!result.success) {
+ return {
+ success: false,
+ error: result.error || 'Failed to check Ollama status',
+ };
+ }
+
+ return {
+ success: true,
+ data: result.data as OllamaStatus,
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to check Ollama status',
+ };
+ }
+ }
+ );
+
+ // List all Ollama models
+ ipcMain.handle(
+ IPC_CHANNELS.OLLAMA_LIST_MODELS,
+ async (_, baseUrl?: string): Promise> => {
+ try {
+ const result = await executeOllamaDetector('list-models', baseUrl);
+
+ if (!result.success) {
+ return {
+ success: false,
+ error: result.error || 'Failed to list Ollama models',
+ };
+ }
+
+ const data = result.data as { models: OllamaModel[]; count: number; url: string };
+ return {
+ success: true,
+ data: {
+ models: data.models,
+ count: data.count,
+ },
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to list Ollama models',
+ };
+ }
+ }
+ );
+
+ // List only embedding models from Ollama
+ ipcMain.handle(
+ IPC_CHANNELS.OLLAMA_LIST_EMBEDDING_MODELS,
+ async (
+ _,
+ baseUrl?: string
+ ): Promise> => {
+ try {
+ const result = await executeOllamaDetector('list-embedding-models', baseUrl);
+
+ if (!result.success) {
+ return {
+ success: false,
+ error: result.error || 'Failed to list Ollama embedding models',
+ };
+ }
+
+ const data = result.data as {
+ embedding_models: OllamaEmbeddingModel[];
+ count: number;
+ url: string;
+ };
+ return {
+ success: true,
+ data: {
+ embedding_models: data.embedding_models,
+ count: data.count,
+ },
+ };
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to list embedding models',
+ };
+ }
+ }
+ );
+
+ // Pull (download) an Ollama model
+ ipcMain.handle(
+ IPC_CHANNELS.OLLAMA_PULL_MODEL,
+ async (
+ _,
+ modelName: string,
+ baseUrl?: string
+ ): Promise> => {
+ try {
+ const pythonCmd = findPythonCommand();
+ if (!pythonCmd) {
+ return { success: false, error: 'Python not found' };
+ }
+
+ // Find the ollama_model_detector.py script
+ const possiblePaths = [
+ path.resolve(__dirname, '..', '..', '..', 'auto-claude', 'ollama_model_detector.py'),
+ path.resolve(process.cwd(), 'auto-claude', 'ollama_model_detector.py'),
+ path.resolve(process.cwd(), '..', 'auto-claude', 'ollama_model_detector.py'),
+ ];
+
+ let scriptPath: string | null = null;
+ for (const p of possiblePaths) {
+ if (fs.existsSync(p)) {
+ scriptPath = p;
+ break;
+ }
+ }
+
+ if (!scriptPath) {
+ return { success: false, error: 'ollama_model_detector.py script not found' };
+ }
+
+ const [pythonExe, baseArgs] = parsePythonCommand(pythonCmd);
+ const args = [...baseArgs, scriptPath, 'pull-model', modelName];
+
+ return new Promise((resolve) => {
+ const proc = spawn(pythonExe, args, {
+ stdio: ['ignore', 'pipe', 'pipe'],
+ timeout: 600000, // 10 minute timeout for large models
+ });
+
+ let stdout = '';
+ let stderr = '';
+
+ proc.stdout.on('data', (data) => {
+ stdout += data.toString();
+ });
+
+ proc.stderr.on('data', (data) => {
+ stderr += data.toString();
+ // Could emit progress events here in the future
+ });
+
+ proc.on('close', (code) => {
+ if (code === 0 && stdout) {
+ try {
+ const result = JSON.parse(stdout);
+ if (result.success) {
+ resolve({
+ success: true,
+ data: result.data as OllamaPullResult,
+ });
+ } else {
+ resolve({
+ success: false,
+ error: result.error || 'Failed to pull model',
+ });
+ }
+ } catch {
+ resolve({ success: false, error: `Invalid JSON: ${stdout}` });
+ }
+ } else {
+ resolve({ success: false, error: stderr || `Exit code ${code}` });
+ }
+ });
+
+ proc.on('error', (err) => {
+ resolve({ success: false, error: err.message });
+ });
+ });
+ } catch (error) {
+ return {
+ success: false,
+ error: error instanceof Error ? error.message : 'Failed to pull model',
+ };
+ }
+ }
+ );
+}
diff --git a/auto-claude-ui/src/main/ipc-handlers/project-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/project-handlers.ts
index fcad5287..deb01102 100644
--- a/auto-claude-ui/src/main/ipc-handlers/project-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/project-handlers.ts
@@ -26,6 +26,7 @@ import { changelogService } from '../changelog-service';
import { insightsService } from '../insights-service';
import { titleGenerator } from '../title-generator';
import type { BrowserWindow } from 'electron';
+import { getEffectiveSourcePath } from '../updater/path-resolver';
// ============================================
// Git Helper Functions
@@ -102,93 +103,6 @@ function detectMainBranch(projectPath: string): string | null {
const settingsPath = path.join(app.getPath('userData'), 'settings.json');
-/**
- * Auto-detect the auto-claude source path relative to the app location.
- * Works across platforms (macOS, Windows, Linux) in both dev and production modes.
- */
-const detectAutoBuildSourcePath = (): string | null => {
- const possiblePaths: string[] = [];
-
- // Development mode paths
- if (is.dev) {
- // In dev, __dirname is typically auto-claude-ui/out/main
- // We need to go up to the project root to find auto-claude/
- possiblePaths.push(
- path.resolve(__dirname, '..', '..', '..', 'auto-claude'), // From out/main up 3 levels
- path.resolve(__dirname, '..', '..', 'auto-claude'), // From out/main up 2 levels
- path.resolve(process.cwd(), 'auto-claude'), // From cwd (project root)
- path.resolve(process.cwd(), '..', 'auto-claude') // From cwd parent (if running from auto-claude-ui/)
- );
- } else {
- // Production mode paths (packaged app)
- // On Windows/Linux/macOS, the app might be installed anywhere
- // We check common locations relative to the app bundle
- const appPath = app.getAppPath();
- possiblePaths.push(
- path.resolve(appPath, '..', 'auto-claude'), // Sibling to app
- path.resolve(appPath, '..', '..', 'auto-claude'), // Up 2 from app
- path.resolve(appPath, '..', '..', '..', 'auto-claude'), // Up 3 from app
- path.resolve(process.resourcesPath, '..', 'auto-claude'), // Relative to resources
- path.resolve(process.resourcesPath, '..', '..', 'auto-claude')
- );
- }
-
- // Add process.cwd() as last resort on all platforms
- possiblePaths.push(path.resolve(process.cwd(), 'auto-claude'));
-
- // Enable debug logging with DEBUG=1
- const debug = process.env.DEBUG === '1' || process.env.DEBUG === 'true';
-
- if (debug) {
- console.warn('[project-handlers:detectAutoBuildSourcePath] Platform:', process.platform);
- console.warn('[project-handlers:detectAutoBuildSourcePath] Is dev:', is.dev);
- console.warn('[project-handlers:detectAutoBuildSourcePath] __dirname:', __dirname);
- console.warn('[project-handlers:detectAutoBuildSourcePath] app.getAppPath():', app.getAppPath());
- console.warn('[project-handlers:detectAutoBuildSourcePath] process.cwd():', process.cwd());
- console.warn('[project-handlers:detectAutoBuildSourcePath] Checking paths:', possiblePaths);
- }
-
- for (const p of possiblePaths) {
- // Use requirements.txt as marker - it always exists in auto-claude source
- const markerPath = path.join(p, 'requirements.txt');
- const exists = existsSync(p) && existsSync(markerPath);
-
- if (debug) {
- console.warn(`[project-handlers:detectAutoBuildSourcePath] Checking ${p}: ${exists ? '✓ FOUND' : '✗ not found'}`);
- }
-
- if (exists) {
- console.warn(`[project-handlers:detectAutoBuildSourcePath] Auto-detected source path: ${p}`);
- return p;
- }
- }
-
- console.warn('[project-handlers:detectAutoBuildSourcePath] Could not auto-detect Auto Claude source path.');
- console.warn('[project-handlers:detectAutoBuildSourcePath] Set DEBUG=1 environment variable for detailed path checking.');
- return null;
-};
-
-/**
- * Get the configured auto-claude source path from settings, or auto-detect
- */
-const getAutoBuildSourcePath = (): string | null => {
- // First check if manually configured
- if (existsSync(settingsPath)) {
- try {
- const content = readFileSync(settingsPath, 'utf-8');
- const settings = JSON.parse(content);
- if (settings.autoBuildPath && existsSync(settings.autoBuildPath)) {
- return settings.autoBuildPath;
- }
- } catch {
- // Fall through to auto-detect
- }
- }
-
- // Auto-detect from app location
- return detectAutoBuildSourcePath();
-};
-
/**
* Configure all Python-dependent services with the managed Python path
*/
@@ -211,7 +125,7 @@ const initializePythonEnvironment = async (
pythonEnvManager: PythonEnvManager,
agentManager: AgentManager
): Promise => {
- const autoBuildSource = getAutoBuildSourcePath();
+ const autoBuildSource = getEffectiveSourcePath();
if (!autoBuildSource) {
console.warn('[IPC] Auto-build source not found, skipping Python env init');
return {
@@ -304,6 +218,31 @@ export function registerProjectHandlers(
}
);
+ // ============================================
+ // Tab State Operations (persisted in main process)
+ // ============================================
+
+ ipcMain.handle(
+ IPC_CHANNELS.TAB_STATE_GET,
+ async (): Promise> => {
+ const tabState = projectStore.getTabState();
+ console.log('[IPC] TAB_STATE_GET returning:', tabState);
+ return { success: true, data: tabState };
+ }
+ );
+
+ ipcMain.handle(
+ IPC_CHANNELS.TAB_STATE_SAVE,
+ async (
+ _,
+ tabState: { openProjectIds: string[]; activeProjectId: string | null; tabOrder: string[] }
+ ): Promise => {
+ console.log('[IPC] TAB_STATE_SAVE called with:', tabState);
+ projectStore.saveTabState(tabState);
+ return { success: true };
+ }
+ );
+
// ============================================
// Project Initialization Operations
// ============================================
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/context-roadmap-section.txt b/auto-claude-ui/src/main/ipc-handlers/sections/context-roadmap-section.txt
index ec24a7a5..f919768b 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/context-roadmap-section.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/context-roadmap-section.txt
@@ -874,4 +874,3 @@ ${(feature.acceptance_criteria || []).map((c: string) => `- [ ] ${c}`).join('\n'
return { success: true, data: memories };
}
);
-
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/ideation-insights-section.txt b/auto-claude-ui/src/main/ipc-handlers/sections/ideation-insights-section.txt
index a4c39eeb..f4b0bfbe 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/ideation-insights-section.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/ideation-insights-section.txt
@@ -1172,4 +1172,3 @@ ${idea.rationale}
return { success: false, error: 'Failed to rename session' };
}
);
-
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/integration-section.txt b/auto-claude-ui/src/main/ipc-handlers/sections/integration-section.txt
index 642514e2..f137af7f 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/integration-section.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/integration-section.txt
@@ -1650,4 +1650,3 @@ ${issue.body || 'No description provided.'}
}
}
);
-
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/task-section.txt b/auto-claude-ui/src/main/ipc-handlers/sections/task-section.txt
index 96b81e00..d077902d 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/task-section.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/task-section.txt
@@ -876,7 +876,7 @@
try {
// Set status to in_progress for the restart
newStatus = 'in_progress';
-
+
// Update plan status for restart
if (plan) {
plan.status = 'in_progress';
@@ -897,7 +897,7 @@
const specsBaseDir = getSpecsDir(project.autoBuildPath);
const specDirForWatcher = path.join(project.path, specsBaseDir, task.specId);
fileWatcher.watch(taskId, specDirForWatcher);
-
+
agentManager.startTaskExecution(
taskId,
project.path,
@@ -932,7 +932,7 @@
taskId,
recovered: true,
newStatus,
- message: autoRestarted
+ message: autoRestarted
? 'Task recovered and restarted successfully'
: `Task recovered successfully and moved to ${newStatus}`,
autoRestarted
@@ -1494,4 +1494,3 @@
}
}
);
-
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/task_extracted.txt b/auto-claude-ui/src/main/ipc-handlers/sections/task_extracted.txt
index 97004056..d077902d 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/task_extracted.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/task_extracted.txt
@@ -876,7 +876,7 @@
try {
// Set status to in_progress for the restart
newStatus = 'in_progress';
-
+
// Update plan status for restart
if (plan) {
plan.status = 'in_progress';
@@ -897,7 +897,7 @@
const specsBaseDir = getSpecsDir(project.autoBuildPath);
const specDirForWatcher = path.join(project.path, specsBaseDir, task.specId);
fileWatcher.watch(taskId, specDirForWatcher);
-
+
agentManager.startTaskExecution(
taskId,
project.path,
@@ -932,7 +932,7 @@
taskId,
recovered: true,
newStatus,
- message: autoRestarted
+ message: autoRestarted
? 'Task recovered and restarted successfully'
: `Task recovered successfully and moved to ${newStatus}`,
autoRestarted
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/terminal-section.txt b/auto-claude-ui/src/main/ipc-handlers/sections/terminal-section.txt
index db2a953f..97b3cca2 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/terminal-section.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/terminal-section.txt
@@ -218,12 +218,12 @@
});
}
- return {
- success: true,
- data: {
+ return {
+ success: true,
+ data: {
terminalId,
message: `A terminal has been opened to authenticate "${profile.name}". Complete the OAuth flow in your browser, then copy the token shown in the terminal.`
- }
+ }
};
} catch (error) {
console.error('[IPC] Failed to initialize Claude profile:', error);
diff --git a/auto-claude-ui/src/main/ipc-handlers/sections/terminal_extracted.txt b/auto-claude-ui/src/main/ipc-handlers/sections/terminal_extracted.txt
index c988423f..97b3cca2 100644
--- a/auto-claude-ui/src/main/ipc-handlers/sections/terminal_extracted.txt
+++ b/auto-claude-ui/src/main/ipc-handlers/sections/terminal_extracted.txt
@@ -218,12 +218,12 @@
});
}
- return {
- success: true,
- data: {
+ return {
+ success: true,
+ data: {
terminalId,
message: `A terminal has been opened to authenticate "${profile.name}". Complete the OAuth flow in your browser, then copy the token shown in the terminal.`
- }
+ }
};
} catch (error) {
console.error('[IPC] Failed to initialize Claude profile:', error);
@@ -484,4 +484,4 @@
};
}
}
- );
\ No newline at end of file
+ );
diff --git a/auto-claude-ui/src/main/ipc-handlers/task-handlers.ts.backup b/auto-claude-ui/src/main/ipc-handlers/task-handlers.ts.backup
index d7ddc3c5..e4f1f7f4 100644
--- a/auto-claude-ui/src/main/ipc-handlers/task-handlers.ts.backup
+++ b/auto-claude-ui/src/main/ipc-handlers/task-handlers.ts.backup
@@ -951,7 +951,7 @@ export function registerTaskHandlers(
try {
// Set status to in_progress for the restart
newStatus = 'in_progress';
-
+
// Update plan status for restart
if (plan) {
plan.status = 'in_progress';
@@ -964,7 +964,7 @@ export function registerTaskHandlers(
const specsBaseDir = getSpecsDir(project.autoBuildPath);
const specDirForWatcher = path.join(project.path, specsBaseDir, task.specId);
fileWatcher.watch(taskId, specDirForWatcher);
-
+
// Note: Parallel execution is handled internally by the agent
agentManager.startTaskExecution(
taskId,
@@ -1000,7 +1000,7 @@ export function registerTaskHandlers(
taskId,
recovered: true,
newStatus,
- message: autoRestarted
+ message: autoRestarted
? 'Task recovered and restarted successfully'
: `Task recovered successfully and moved to ${newStatus}`,
autoRestarted
diff --git a/auto-claude-ui/src/main/ipc-handlers/task/worktree-handlers.ts b/auto-claude-ui/src/main/ipc-handlers/task/worktree-handlers.ts
index a34a7d49..4b937a8b 100644
--- a/auto-claude-ui/src/main/ipc-handlers/task/worktree-handlers.ts
+++ b/auto-claude-ui/src/main/ipc-handlers/task/worktree-handlers.ts
@@ -2,7 +2,7 @@ import { ipcMain, BrowserWindow } from 'electron';
import { IPC_CHANNELS, AUTO_BUILD_PATHS } from '../../../shared/constants';
import type { IPCResult, WorktreeStatus, WorktreeDiff, WorktreeDiffFile, WorktreeMergeResult, WorktreeDiscardResult, WorktreeListResult, WorktreeListItem } from '../../../shared/types';
import path from 'path';
-import { existsSync, readdirSync, statSync } from 'fs';
+import { existsSync, readdirSync, statSync, readFileSync } from 'fs';
import { execSync, spawn, spawnSync } from 'child_process';
import { projectStore } from '../../project-store';
import { PythonEnvManager } from '../../python-env-manager';
@@ -11,6 +11,26 @@ import { getProfileEnv } from '../../rate-limit-detector';
import { findTaskAndProject } from './shared';
import { findPythonCommand, parsePythonCommand } from '../../python-detector';
+/**
+ * Read the stored base branch from task_metadata.json
+ * This is the branch the task was created from (set by user during task creation)
+ */
+function getTaskBaseBranch(specDir: string): string | undefined {
+ try {
+ const metadataPath = path.join(specDir, 'task_metadata.json');
+ if (existsSync(metadataPath)) {
+ const metadata = JSON.parse(readFileSync(metadataPath, 'utf-8'));
+ // Return baseBranch if explicitly set (not the __project_default__ marker)
+ if (metadata.baseBranch && metadata.baseBranch !== '__project_default__') {
+ return metadata.baseBranch;
+ }
+ }
+ } catch (e) {
+ console.warn('[getTaskBaseBranch] Failed to read task metadata:', e);
+ }
+ return undefined;
+}
+
/**
* Register worktree management handlers
*/
@@ -61,12 +81,13 @@ export function registerWorktreeHandlers(
baseBranch = 'main';
}
- // Get commit count
+ // Get commit count (cross-platform - no shell syntax)
let commitCount = 0;
try {
- const countOutput = execSync(`git rev-list --count ${baseBranch}..HEAD 2>/dev/null || echo 0`, {
+ const countOutput = execSync(`git rev-list --count ${baseBranch}..HEAD`, {
cwd: worktreePath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
commitCount = parseInt(countOutput, 10) || 0;
} catch {
@@ -78,10 +99,12 @@ export function registerWorktreeHandlers(
let additions = 0;
let deletions = 0;
+ let diffStat = '';
try {
- const diffStat = execSync(`git diff --stat ${baseBranch}...HEAD 2>/dev/null || echo ""`, {
+ diffStat = execSync(`git diff --stat ${baseBranch}...HEAD`, {
cwd: worktreePath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
// Parse the summary line (e.g., "3 files changed, 50 insertions(+), 10 deletions(-)")
@@ -159,17 +182,21 @@ export function registerWorktreeHandlers(
// Get the diff with file stats
const files: WorktreeDiffFile[] = [];
+ let numstat = '';
+ let nameStatus = '';
try {
- // Get numstat for additions/deletions per file
- const numstat = execSync(`git diff --numstat ${baseBranch}...HEAD 2>/dev/null || echo ""`, {
+ // Get numstat for additions/deletions per file (cross-platform)
+ numstat = execSync(`git diff --numstat ${baseBranch}...HEAD`, {
cwd: worktreePath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
- // Get name-status for file status
- const nameStatus = execSync(`git diff --name-status ${baseBranch}...HEAD 2>/dev/null || echo ""`, {
+ // Get name-status for file status (cross-platform)
+ nameStatus = execSync(`git diff --name-status ${baseBranch}...HEAD`, {
cwd: worktreePath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
// Parse name-status to get file statuses
@@ -320,6 +347,13 @@ export function registerWorktreeHandlers(
args.push('--no-commit');
}
+ // Add --base-branch if task was created with a specific base branch
+ const taskBaseBranch = getTaskBaseBranch(specDir);
+ if (taskBaseBranch) {
+ args.push('--base-branch', taskBaseBranch);
+ debug('Using stored base branch:', taskBaseBranch);
+ }
+
const pythonPath = pythonEnvManager.getPythonPath() || findPythonCommand() || 'python';
debug('Running command:', pythonPath, args.join(' '));
debug('Working directory:', sourcePath);
@@ -332,7 +366,7 @@ export function registerWorktreeHandlers(
});
return new Promise((resolve) => {
- const MERGE_TIMEOUT_MS = 120000; // 2 minutes timeout for merge operations
+ const MERGE_TIMEOUT_MS = 600000; // 10 minutes timeout for AI merge operations with many files
let timeoutId: NodeJS.Timeout | null = null;
let resolved = false;
@@ -446,14 +480,17 @@ export function registerWorktreeHandlers(
const specBranch = `auto-claude/${task.specId}`;
try {
// Check if current branch contains all commits from spec branch
- const mergeBaseResult = execSync(
- `git merge-base --is-ancestor ${specBranch} HEAD 2>/dev/null && echo "merged" || echo "not-merged"`,
- { cwd: project.path, encoding: 'utf-8' }
- ).trim();
- mergeAlreadyCommitted = mergeBaseResult === 'merged';
+ // git merge-base --is-ancestor returns exit code 0 if true, 1 if false
+ execSync(
+ `git merge-base --is-ancestor ${specBranch} HEAD`,
+ { cwd: project.path, encoding: 'utf-8', stdio: ['pipe', 'pipe', 'pipe'] }
+ );
+ // If we reach here, the command succeeded (exit code 0) - branch is merged
+ mergeAlreadyCommitted = true;
debug('Merge already committed check:', mergeAlreadyCommitted);
} catch {
- // Branch may not exist or other error - assume not merged
+ // Exit code 1 means not merged, or branch may not exist
+ mergeAlreadyCommitted = false;
debug('Could not check merge status, assuming not merged');
}
}
@@ -659,6 +696,7 @@ export function registerWorktreeHandlers(
}
const runScript = path.join(sourcePath, 'run.py');
+ const specDir = path.join(project.path, project.autoBuildPath || '.auto-claude', 'specs', task.specId);
const args = [
runScript,
'--spec', task.specId,
@@ -666,6 +704,13 @@ export function registerWorktreeHandlers(
'--merge-preview'
];
+ // Add --base-branch if task was created with a specific base branch
+ const taskBaseBranch = getTaskBaseBranch(specDir);
+ if (taskBaseBranch) {
+ args.push('--base-branch', taskBaseBranch);
+ console.warn('[IPC] Using stored base branch for preview:', taskBaseBranch);
+ }
+
const pythonPath = pythonEnvManager.getPythonPath() || findPythonCommand() || 'python';
console.warn('[IPC] Running merge preview:', pythonPath, args.join(' '));
@@ -892,27 +937,30 @@ export function registerWorktreeHandlers(
baseBranch = 'main';
}
- // Get commit count
+ // Get commit count (cross-platform - no shell syntax)
let commitCount = 0;
try {
- const countOutput = execSync(`git rev-list --count ${baseBranch}..HEAD 2>/dev/null || echo 0`, {
+ const countOutput = execSync(`git rev-list --count ${baseBranch}..HEAD`, {
cwd: entryPath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
commitCount = parseInt(countOutput, 10) || 0;
} catch {
commitCount = 0;
}
- // Get diff stats
+ // Get diff stats (cross-platform - no shell syntax)
let filesChanged = 0;
let additions = 0;
let deletions = 0;
+ let diffStat = '';
try {
- const diffStat = execSync(`git diff --shortstat ${baseBranch}...HEAD 2>/dev/null || echo ""`, {
+ diffStat = execSync(`git diff --shortstat ${baseBranch}...HEAD`, {
cwd: entryPath,
- encoding: 'utf-8'
+ encoding: 'utf-8',
+ stdio: ['pipe', 'pipe', 'pipe']
}).trim();
const filesMatch = diffStat.match(/(\d+) files? changed/);
diff --git a/auto-claude-ui/src/main/memory-service.ts b/auto-claude-ui/src/main/memory-service.ts
new file mode 100644
index 00000000..d3f59ea6
--- /dev/null
+++ b/auto-claude-ui/src/main/memory-service.ts
@@ -0,0 +1,631 @@
+/**
+ * Memory Service
+ *
+ * Queries the LadybugDB graph database for memories stored by Graphiti.
+ * Uses Python subprocess to communicate with the embedded database.
+ *
+ * LadybugDB stores data in Kuzu format at ~/.auto-claude/memories//
+ */
+
+import { spawn } from 'child_process';
+import * as path from 'path';
+import * as os from 'os';
+import * as fs from 'fs';
+import { app } from 'electron';
+import { findPythonCommand, parsePythonCommand } from './python-detector';
+import type { MemoryEpisode } from '../shared/types';
+
+interface MemoryServiceConfig {
+ dbPath: string;
+ database: string;
+}
+
+// Embedder configuration for semantic search
+export interface EmbedderConfig {
+ provider: 'openai' | 'google' | 'ollama' | 'voyage' | 'azure_openai';
+ // OpenAI
+ openaiApiKey?: string;
+ openaiEmbeddingModel?: string;
+ // Google AI
+ googleApiKey?: string;
+ googleEmbeddingModel?: string;
+ // Ollama
+ ollamaBaseUrl?: string;
+ ollamaEmbeddingModel?: string;
+ ollamaEmbeddingDim?: number;
+ // Voyage AI
+ voyageApiKey?: string;
+ voyageEmbeddingModel?: string;
+ // Azure OpenAI
+ azureOpenaiApiKey?: string;
+ azureOpenaiBaseUrl?: string;
+ azureOpenaiEmbeddingDeployment?: string;
+}
+
+interface SemanticSearchResult extends MemoryQueryResult {
+ search_type: 'semantic' | 'keyword';
+ embedder?: string;
+}
+
+interface QueryResult {
+ success: boolean;
+ data?: unknown;
+ error?: string;
+}
+
+interface MemoryQueryResult {
+ memories: Array<{
+ id: string;
+ name: string;
+ type: string;
+ timestamp: string;
+ content: string;
+ description?: string;
+ group_id?: string;
+ session_number?: number;
+ score?: number;
+ }>;
+ count: number;
+ query?: string;
+}
+
+interface StatusResult {
+ available: boolean;
+ ladybugInstalled: boolean;
+ databasePath: string;
+ database: string;
+ databaseExists: boolean;
+ connected?: boolean;
+ databases?: string[];
+ error?: string | null;
+}
+
+/**
+ * Get the default database path
+ */
+export function getDefaultDbPath(): string {
+ return path.join(os.homedir(), '.auto-claude', 'memories');
+}
+
+/**
+ * Get the path to the query_memory.py script
+ */
+function getQueryScriptPath(): string | null {
+ // Look for the script in auto-claude directory (sibling to auto-claude-ui)
+ const possiblePaths = [
+ // Dev mode: from dist/main -> ../../auto-claude
+ path.resolve(__dirname, '..', '..', '..', 'auto-claude', 'query_memory.py'),
+ // Packaged app: from app.getAppPath() (handles asar and resources correctly)
+ path.resolve(app.getAppPath(), '..', 'auto-claude', 'query_memory.py'),
+ // Alternative: from app root
+ path.resolve(process.cwd(), 'auto-claude', 'query_memory.py'),
+ // If running from repo root
+ path.resolve(process.cwd(), '..', 'auto-claude', 'query_memory.py'),
+ ];
+
+ for (const p of possiblePaths) {
+ if (fs.existsSync(p)) {
+ return p;
+ }
+ }
+ return null;
+}
+
+/**
+ * Execute a Python memory query command
+ */
+async function executeQuery(
+ command: string,
+ args: string[],
+ timeout: number = 10000
+): Promise {
+ const pythonCmd = findPythonCommand();
+ if (!pythonCmd) {
+ return { success: false, error: 'Python not found' };
+ }
+
+ const scriptPath = getQueryScriptPath();
+ if (!scriptPath) {
+ return { success: false, error: 'query_memory.py script not found' };
+ }
+
+ const [pythonExe, baseArgs] = parsePythonCommand(pythonCmd);
+
+ return new Promise((resolve) => {
+ const fullArgs = [...baseArgs, scriptPath, command, ...args];
+ const proc = spawn(pythonExe, fullArgs, {
+ stdio: ['ignore', 'pipe', 'pipe'],
+ timeout,
+ });
+
+ let stdout = '';
+ let stderr = '';
+
+ proc.stdout.on('data', (data) => {
+ stdout += data.toString();
+ });
+
+ proc.stderr.on('data', (data) => {
+ stderr += data.toString();
+ });
+
+ proc.on('close', (code) => {
+ if (code === 0 && stdout) {
+ try {
+ const result = JSON.parse(stdout);
+ resolve(result);
+ } catch {
+ resolve({ success: false, error: `Invalid JSON response: ${stdout}` });
+ }
+ } else {
+ resolve({
+ success: false,
+ error: stderr || `Process exited with code ${code}`,
+ });
+ }
+ });
+
+ proc.on('error', (err) => {
+ resolve({ success: false, error: err.message });
+ });
+
+ // Handle timeout
+ setTimeout(() => {
+ proc.kill();
+ resolve({ success: false, error: 'Query timed out' });
+ }, timeout);
+ });
+}
+
+/**
+ * Execute semantic search with embedder configuration passed via environment
+ */
+async function executeSemanticQuery(
+ args: string[],
+ embedderConfig: EmbedderConfig,
+ timeout: number = 30000 // Longer timeout for embedding operations
+): Promise {
+ const pythonCmd = findPythonCommand();
+ if (!pythonCmd) {
+ return { success: false, error: 'Python not found' };
+ }
+
+ const scriptPath = getQueryScriptPath();
+ if (!scriptPath) {
+ return { success: false, error: 'query_memory.py script not found' };
+ }
+
+ const [pythonExe, baseArgs] = parsePythonCommand(pythonCmd);
+
+ // Build environment with embedder configuration
+ const env: Record = { ...process.env };
+
+ // Set the embedder provider
+ env.GRAPHITI_EMBEDDER_PROVIDER = embedderConfig.provider;
+
+ // Provider-specific configuration
+ switch (embedderConfig.provider) {
+ case 'openai':
+ if (embedderConfig.openaiApiKey) {
+ env.OPENAI_API_KEY = embedderConfig.openaiApiKey;
+ }
+ if (embedderConfig.openaiEmbeddingModel) {
+ env.OPENAI_EMBEDDING_MODEL = embedderConfig.openaiEmbeddingModel;
+ }
+ break;
+
+ case 'google':
+ if (embedderConfig.googleApiKey) {
+ env.GOOGLE_API_KEY = embedderConfig.googleApiKey;
+ }
+ if (embedderConfig.googleEmbeddingModel) {
+ env.GOOGLE_EMBEDDING_MODEL = embedderConfig.googleEmbeddingModel;
+ }
+ break;
+
+ case 'ollama':
+ if (embedderConfig.ollamaBaseUrl) {
+ env.OLLAMA_BASE_URL = embedderConfig.ollamaBaseUrl;
+ }
+ if (embedderConfig.ollamaEmbeddingModel) {
+ env.OLLAMA_EMBEDDING_MODEL = embedderConfig.ollamaEmbeddingModel;
+ }
+ if (embedderConfig.ollamaEmbeddingDim) {
+ env.OLLAMA_EMBEDDING_DIM = String(embedderConfig.ollamaEmbeddingDim);
+ }
+ break;
+
+ case 'voyage':
+ if (embedderConfig.voyageApiKey) {
+ env.VOYAGE_API_KEY = embedderConfig.voyageApiKey;
+ }
+ if (embedderConfig.voyageEmbeddingModel) {
+ env.VOYAGE_EMBEDDING_MODEL = embedderConfig.voyageEmbeddingModel;
+ }
+ break;
+
+ case 'azure_openai':
+ if (embedderConfig.azureOpenaiApiKey) {
+ env.AZURE_OPENAI_API_KEY = embedderConfig.azureOpenaiApiKey;
+ }
+ if (embedderConfig.azureOpenaiBaseUrl) {
+ env.AZURE_OPENAI_BASE_URL = embedderConfig.azureOpenaiBaseUrl;
+ }
+ if (embedderConfig.azureOpenaiEmbeddingDeployment) {
+ env.AZURE_OPENAI_EMBEDDING_DEPLOYMENT = embedderConfig.azureOpenaiEmbeddingDeployment;
+ }
+ break;
+ }
+
+ return new Promise((resolve) => {
+ const fullArgs = [...baseArgs, scriptPath, 'semantic-search', ...args];
+ const proc = spawn(pythonExe, fullArgs, {
+ stdio: ['ignore', 'pipe', 'pipe'],
+ env,
+ timeout,
+ });
+
+ let stdout = '';
+ let stderr = '';
+
+ proc.stdout.on('data', (data) => {
+ stdout += data.toString();
+ });
+
+ proc.stderr.on('data', (data) => {
+ stderr += data.toString();
+ });
+
+ proc.on('close', (code) => {
+ if (code === 0 && stdout) {
+ try {
+ const result = JSON.parse(stdout);
+ resolve(result);
+ } catch {
+ resolve({ success: false, error: `Invalid JSON response: ${stdout}` });
+ }
+ } else {
+ resolve({
+ success: false,
+ error: stderr || `Process exited with code ${code}`,
+ });
+ }
+ });
+
+ proc.on('error', (err) => {
+ resolve({ success: false, error: err.message });
+ });
+
+ setTimeout(() => {
+ proc.kill();
+ resolve({ success: false, error: 'Semantic search timed out' });
+ }, timeout);
+ });
+}
+
+/**
+ * Memory Service for querying graph memories from LadybugDB
+ */
+export class MemoryService {
+ private config: MemoryServiceConfig;
+
+ constructor(config: MemoryServiceConfig) {
+ this.config = config;
+ }
+
+ /**
+ * Get the full path to the database
+ */
+ private getDbFullPath(): string {
+ return path.join(this.config.dbPath, this.config.database);
+ }
+
+ /**
+ * Check if the database exists
+ */
+ databaseExists(): boolean {
+ const dbPath = this.getDbFullPath();
+ return fs.existsSync(dbPath);
+ }
+
+ /**
+ * List all available databases
+ */
+ listDatabases(): string[] {
+ try {
+ const basePath = this.config.dbPath;
+ if (!fs.existsSync(basePath)) {
+ return [];
+ }
+
+ return fs.readdirSync(basePath).filter((name) => {
+ if (name.startsWith('.')) return false;
+ return true; // Include both files and directories
+ });
+ } catch (error) {
+ console.error('Failed to list databases:', error);
+ return [];
+ }
+ }
+
+ /**
+ * Query episodic memories from the database
+ */
+ async getEpisodicMemories(limit: number = 20): Promise {
+ const result = await executeQuery('get-memories', [
+ this.config.dbPath,
+ this.config.database,
+ '--limit',
+ String(limit),
+ ]);
+
+ if (!result.success || !result.data) {
+ console.error('Failed to get memories:', result.error);
+ return [];
+ }
+
+ const data = result.data as MemoryQueryResult;
+ return data.memories.map((m) => ({
+ id: m.id,
+ type: this.mapMemoryType(m.type),
+ timestamp: m.timestamp,
+ content: m.content,
+ session_number: m.session_number,
+ }));
+ }
+
+ /**
+ * Query entity memories (patterns, gotchas, etc.) from the database
+ */
+ async getEntityMemories(limit: number = 20): Promise {
+ const result = await executeQuery('get-entities', [
+ this.config.dbPath,
+ this.config.database,
+ '--limit',
+ String(limit),
+ ]);
+
+ if (!result.success || !result.data) {
+ console.error('Failed to get entities:', result.error);
+ return [];
+ }
+
+ const data = result.data as { entities: MemoryQueryResult['memories']; count: number };
+ return data.entities.map((e) => ({
+ id: e.id,
+ type: this.mapMemoryType(e.type),
+ timestamp: e.timestamp,
+ content: e.content,
+ }));
+ }
+
+ /**
+ * Get all memories from the database
+ */
+ async getAllMemories(limit: number = 20): Promise {
+ const [episodic, entities] = await Promise.all([
+ this.getEpisodicMemories(limit),
+ this.getEntityMemories(limit),
+ ]);
+
+ const memories = [...episodic, ...entities];
+
+ // Sort by timestamp descending
+ memories.sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime());
+
+ return memories.slice(0, limit);
+ }
+
+ /**
+ * Search memories in the database (keyword search)
+ */
+ async searchMemories(searchQuery: string, limit: number = 20): Promise {
+ const result = await executeQuery('search', [
+ this.config.dbPath,
+ this.config.database,
+ searchQuery,
+ '--limit',
+ String(limit),
+ ]);
+
+ if (!result.success || !result.data) {
+ console.error('Failed to search memories:', result.error);
+ return [];
+ }
+
+ const data = result.data as MemoryQueryResult;
+ return data.memories.map((m) => ({
+ id: m.id,
+ type: this.mapMemoryType(m.type),
+ timestamp: m.timestamp,
+ content: m.content,
+ session_number: m.session_number,
+ score: m.score,
+ }));
+ }
+
+ /**
+ * Semantic search using embeddings
+ *
+ * Uses the configured embedder to create vector embeddings and perform
+ * similarity search. Falls back to keyword search if embedder fails.
+ *
+ * @param searchQuery The search query
+ * @param embedderConfig Configuration for the embedding provider
+ * @param limit Maximum number of results
+ * @returns Memories with relevance scores
+ */
+ async searchMemoriesSemantic(
+ searchQuery: string,
+ embedderConfig: EmbedderConfig,
+ limit: number = 20
+ ): Promise<{ memories: MemoryEpisode[]; searchType: 'semantic' | 'keyword' }> {
+ const result = await executeSemanticQuery(
+ [this.config.dbPath, this.config.database, searchQuery, '--limit', String(limit)],
+ embedderConfig
+ );
+
+ if (!result.success || !result.data) {
+ console.error('Semantic search failed, falling back to keyword:', result.error);
+ // Fall back to keyword search
+ const memories = await this.searchMemories(searchQuery, limit);
+ return { memories, searchType: 'keyword' };
+ }
+
+ const data = result.data as SemanticSearchResult;
+ const memories = data.memories.map((m) => ({
+ id: m.id,
+ type: this.mapMemoryType(m.type),
+ timestamp: m.timestamp,
+ content: m.content,
+ session_number: m.session_number,
+ score: m.score,
+ }));
+
+ return {
+ memories,
+ searchType: data.search_type || 'semantic',
+ };
+ }
+
+ /**
+ * Test connection to the database
+ */
+ async testConnection(): Promise<{ success: boolean; message: string }> {
+ const result = await executeQuery('get-status', [this.config.dbPath, this.config.database]);
+
+ if (!result.success) {
+ return {
+ success: false,
+ message: result.error || 'Failed to check database status',
+ };
+ }
+
+ const data = result.data as StatusResult;
+
+ if (!data.available) {
+ return {
+ success: false,
+ message: 'LadybugDB (real_ladybug) not installed. Requires Python 3.12+',
+ };
+ }
+
+ if (!data.databaseExists) {
+ return {
+ success: false,
+ message: `Database not found at ${data.databasePath}/${data.database}`,
+ };
+ }
+
+ if (!data.connected) {
+ return {
+ success: false,
+ message: data.error || 'Failed to connect to database',
+ };
+ }
+
+ const dbCount = data.databases?.length || 0;
+ return {
+ success: true,
+ message: `Connected to LadybugDB with ${dbCount} databases`,
+ };
+ }
+
+ /**
+ * Close the database connection (no-op for subprocess model)
+ */
+ async close(): Promise {
+ // No persistent connection to close with subprocess model
+ }
+
+ /**
+ * Map string type to MemoryEpisode type
+ */
+ private mapMemoryType(type: string): MemoryEpisode['type'] {
+ switch (type) {
+ case 'session_insight':
+ return 'session_insight';
+ case 'pattern':
+ return 'pattern';
+ case 'gotcha':
+ return 'gotcha';
+ case 'codebase_discovery':
+ return 'codebase_discovery';
+ case 'task_outcome':
+ return 'task_outcome';
+ default:
+ return 'session_insight';
+ }
+ }
+}
+
+// Singleton instance for reuse
+let serviceInstance: MemoryService | null = null;
+
+/**
+ * Get or create a Memory service instance
+ */
+export function getMemoryService(config: MemoryServiceConfig): MemoryService {
+ if (
+ !serviceInstance ||
+ serviceInstance['config'].dbPath !== config.dbPath ||
+ serviceInstance['config'].database !== config.database
+ ) {
+ serviceInstance = new MemoryService(config);
+ }
+ return serviceInstance;
+}
+
+/**
+ * Close the singleton service instance
+ */
+export async function closeMemoryService(): Promise {
+ if (serviceInstance) {
+ await serviceInstance.close();
+ serviceInstance = null;
+ }
+}
+
+/**
+ * Check if Python with LadybugDB is available
+ */
+export function isKuzuAvailable(): boolean {
+ // Check if Python is available
+ const pythonCmd = findPythonCommand();
+ if (!pythonCmd) {
+ return false;
+ }
+
+ // Check if query script exists
+ const scriptPath = getQueryScriptPath();
+ return scriptPath !== null;
+}
+
+/**
+ * Get memory service status
+ */
+export interface MemoryServiceStatus {
+ kuzuInstalled: boolean;
+ databasePath: string;
+ databaseExists: boolean;
+ databases: string[];
+}
+
+export function getMemoryServiceStatus(dbPath?: string): MemoryServiceStatus {
+ const basePath = dbPath || getDefaultDbPath();
+
+ const databases = fs.existsSync(basePath)
+ ? fs.readdirSync(basePath).filter((name) => !name.startsWith('.'))
+ : [];
+
+ // Check if Python and script are available
+ const pythonAvailable = findPythonCommand() !== null;
+ const scriptAvailable = getQueryScriptPath() !== null;
+
+ return {
+ kuzuInstalled: pythonAvailable && scriptAvailable,
+ databasePath: basePath,
+ databaseExists: databases.length > 0,
+ databases,
+ };
+}
diff --git a/auto-claude-ui/src/main/notification-service.ts b/auto-claude-ui/src/main/notification-service.ts
index ad4fe010..11c74422 100644
--- a/auto-claude-ui/src/main/notification-service.ts
+++ b/auto-claude-ui/src/main/notification-service.ts
@@ -66,7 +66,7 @@ class NotificationService {
private sendNotification(type: NotificationType, options: NotificationOptions): void {
// Get notification settings
const settings = this.getNotificationSettings(options.projectId);
-
+
// Check if this notification type is enabled
if (!this.isNotificationEnabled(type, settings)) {
return;
@@ -162,4 +162,3 @@ class NotificationService {
// Export singleton instance
export const notificationService = new NotificationService();
-
diff --git a/auto-claude-ui/src/main/project-store.ts b/auto-claude-ui/src/main/project-store.ts
index 31a785b9..05aec1b4 100644
--- a/auto-claude-ui/src/main/project-store.ts
+++ b/auto-claude-ui/src/main/project-store.ts
@@ -6,9 +6,16 @@ import type { Project, ProjectSettings, Task, TaskStatus, TaskMetadata, Implemen
import { DEFAULT_PROJECT_SETTINGS, AUTO_BUILD_PATHS, getSpecsDir } from '../shared/constants';
import { getAutoBuildPath, isInitialized } from './project-initializer';
+interface TabState {
+ openProjectIds: string[];
+ activeProjectId: string | null;
+ tabOrder: string[];
+}
+
interface StoreData {
projects: Project[];
settings: Record;
+ tabState?: TabState;
}
/**
@@ -68,6 +75,14 @@ export class ProjectStore {
// Check if project already exists
const existing = this.data.projects.find((p) => p.path === projectPath);
if (existing) {
+ // Validate that .auto-claude folder still exists for existing project
+ // If manually deleted, reset autoBuildPath so UI prompts for reinitialization
+ if (existing.autoBuildPath && !isInitialized(existing.path)) {
+ console.warn(`[ProjectStore] .auto-claude folder was deleted for project "${existing.name}" - resetting autoBuildPath`);
+ existing.autoBuildPath = '';
+ existing.updatedAt = new Date();
+ this.save();
+ }
return existing;
}
@@ -126,6 +141,34 @@ export class ProjectStore {
return this.data.projects;
}
+ /**
+ * Get tab state
+ */
+ getTabState(): TabState {
+ return this.data.tabState || {
+ openProjectIds: [],
+ activeProjectId: null,
+ tabOrder: []
+ };
+ }
+
+ /**
+ * Save tab state
+ */
+ saveTabState(tabState: TabState): void {
+ // Filter out any project IDs that no longer exist
+ const validProjectIds = this.data.projects.map(p => p.id);
+ this.data.tabState = {
+ openProjectIds: tabState.openProjectIds.filter(id => validProjectIds.includes(id)),
+ activeProjectId: tabState.activeProjectId && validProjectIds.includes(tabState.activeProjectId)
+ ? tabState.activeProjectId
+ : null,
+ tabOrder: tabState.tabOrder.filter(id => validProjectIds.includes(id))
+ };
+ console.log('[ProjectStore] Saving tab state:', this.data.tabState);
+ this.save();
+ }
+
/**
* Validate all projects to ensure their .auto-claude folders still exist.
* If a project has autoBuildPath set but the folder was deleted,
diff --git a/auto-claude-ui/src/main/python-env-manager.ts b/auto-claude-ui/src/main/python-env-manager.ts
index 65c2f769..311dd585 100644
--- a/auto-claude-ui/src/main/python-env-manager.ts
+++ b/auto-claude-ui/src/main/python-env-manager.ts
@@ -2,6 +2,7 @@ import { spawn, execSync } from 'child_process';
import { existsSync } from 'fs';
import path from 'path';
import { EventEmitter } from 'events';
+import { app } from 'electron';
export interface PythonEnvStatus {
ready: boolean;
@@ -14,6 +15,9 @@ export interface PythonEnvStatus {
/**
* Manages the Python virtual environment for the auto-claude backend.
* Automatically creates venv and installs dependencies if needed.
+ *
+ * On packaged apps (especially Linux AppImages), the bundled source is read-only,
+ * so we create the venv in userData instead of inside the source directory.
*/
export class PythonEnvManager extends EventEmitter {
private autoBuildSourcePath: string | null = null;
@@ -21,16 +25,35 @@ export class PythonEnvManager extends EventEmitter {
private isInitializing = false;
private isReady = false;
+ /**
+ * Get the path where the venv should be created.
+ * For packaged apps, this is in userData to avoid read-only filesystem issues.
+ * For development, this is inside the source directory.
+ */
+ private getVenvBasePath(): string | null {
+ if (!this.autoBuildSourcePath) return null;
+
+ // For packaged apps, put venv in userData (writable location)
+ // This fixes Linux AppImage where resources are read-only
+ if (app.isPackaged) {
+ return path.join(app.getPath('userData'), 'python-venv');
+ }
+
+ // Development mode - use source directory
+ return path.join(this.autoBuildSourcePath, '.venv');
+ }
+
/**
* Get the path to the venv Python executable
*/
private getVenvPythonPath(): string | null {
- if (!this.autoBuildSourcePath) return null;
+ const venvPath = this.getVenvBasePath();
+ if (!venvPath) return null;
const venvPython =
process.platform === 'win32'
- ? path.join(this.autoBuildSourcePath, '.venv', 'Scripts', 'python.exe')
- : path.join(this.autoBuildSourcePath, '.venv', 'bin', 'python');
+ ? path.join(venvPath, 'Scripts', 'python.exe')
+ : path.join(venvPath, 'bin', 'python');
return venvPython;
}
@@ -142,10 +165,10 @@ export class PythonEnvManager extends EventEmitter {
}
this.emit('status', 'Creating Python virtual environment...');
- console.warn('[PythonEnvManager] Creating venv with:', systemPython);
+ const venvPath = this.getVenvBasePath()!;
+ console.warn('[PythonEnvManager] Creating venv at:', venvPath, 'with:', systemPython);
return new Promise((resolve) => {
- const venvPath = path.join(this.autoBuildSourcePath!, '.venv');
const proc = spawn(systemPython, ['-m', 'venv', venvPath], {
cwd: this.autoBuildSourcePath!,
stdio: 'pipe'
diff --git a/auto-claude-ui/src/main/terminal-name-generator.ts b/auto-claude-ui/src/main/terminal-name-generator.ts
index aa5a6e28..fd7a69cc 100644
--- a/auto-claude-ui/src/main/terminal-name-generator.ts
+++ b/auto-claude-ui/src/main/terminal-name-generator.ts
@@ -4,7 +4,8 @@ import { spawn } from 'child_process';
import { app } from 'electron';
import { EventEmitter } from 'events';
import { detectRateLimit, createSDKRateLimitInfo, getProfileEnv } from './rate-limit-detector';
-import { findPythonCommand, parsePythonCommand } from './python-detector';
+import { parsePythonCommand } from './python-detector';
+import { pythonEnvManager } from './python-env-manager';
/**
* Debug logging - only logs when DEBUG=true or in development mode
@@ -21,8 +22,6 @@ function debug(...args: unknown[]): void {
* Service for generating terminal names from commands using Claude AI
*/
export class TerminalNameGenerator extends EventEmitter {
- // Auto-detect Python command on initialization
- private pythonPath: string = findPythonCommand() || 'python';
private autoBuildSourcePath: string = '';
constructor() {
@@ -31,12 +30,9 @@ export class TerminalNameGenerator extends EventEmitter {
}
/**
- * Configure paths for Python and auto-claude source
+ * Configure the auto-claude source path
*/
- configure(pythonPath?: string, autoBuildSourcePath?: string): void {
- if (pythonPath) {
- this.pythonPath = pythonPath;
- }
+ configure(autoBuildSourcePath?: string): void {
if (autoBuildSourcePath) {
this.autoBuildSourcePath = autoBuildSourcePath;
}
@@ -118,6 +114,23 @@ export class TerminalNameGenerator extends EventEmitter {
return null;
}
+ // Check if Python environment is ready (has claude_agent_sdk installed)
+ if (!pythonEnvManager.isEnvReady()) {
+ debug('Python environment not ready, initializing...');
+ const status = await pythonEnvManager.initialize(autoBuildSource);
+ if (!status.ready) {
+ debug('Python environment initialization failed:', status.error);
+ return null;
+ }
+ }
+
+ // Get the venv Python path (where claude_agent_sdk is installed)
+ const venvPythonPath = pythonEnvManager.getPythonPath();
+ if (!venvPythonPath) {
+ debug('Venv Python path not available');
+ return null;
+ }
+
const prompt = this.createNamePrompt(command, cwd);
const script = this.createGenerationScript(prompt);
@@ -132,8 +145,8 @@ export class TerminalNameGenerator extends EventEmitter {
const profileEnv = getProfileEnv();
return new Promise((resolve) => {
- // Parse Python command to handle space-separated commands like "py -3"
- const [pythonCommand, pythonBaseArgs] = parsePythonCommand(this.pythonPath);
+ // Use the venv Python where claude_agent_sdk is installed
+ const [pythonCommand, pythonBaseArgs] = parsePythonCommand(venvPythonPath);
const childProcess = spawn(pythonCommand, [...pythonBaseArgs, '-c', script], {
cwd: autoBuildSource,
env: {
diff --git a/auto-claude-ui/src/preload/api/modules/changelog-api.ts b/auto-claude-ui/src/preload/api/modules/changelog-api.ts
index bc5a086b..ff825deb 100644
--- a/auto-claude-ui/src/preload/api/modules/changelog-api.ts
+++ b/auto-claude-ui/src/preload/api/modules/changelog-api.ts
@@ -48,6 +48,10 @@ export interface ChangelogAPI {
imageData: string,
filename: string
) => Promise>;
+ readLocalImage: (
+ projectPath: string,
+ relativePath: string
+ ) => Promise>;
// Event Listeners
onChangelogGenerationProgress: (
@@ -113,6 +117,12 @@ export const createChangelogAPI = (): ChangelogAPI => ({
): Promise> =>
invokeIpc(IPC_CHANNELS.CHANGELOG_SAVE_IMAGE, projectId, imageData, filename),
+ readLocalImage: (
+ projectPath: string,
+ relativePath: string
+ ): Promise> =>
+ invokeIpc(IPC_CHANNELS.CHANGELOG_READ_LOCAL_IMAGE, projectPath, relativePath),
+
// Event Listeners
onChangelogGenerationProgress: (
callback: (projectId: string, progress: ChangelogGenerationProgress) => void
diff --git a/auto-claude-ui/src/preload/api/modules/github-api.ts b/auto-claude-ui/src/preload/api/modules/github-api.ts
index 1066f61b..c04b7190 100644
--- a/auto-claude-ui/src/preload/api/modules/github-api.ts
+++ b/auto-claude-ui/src/preload/api/modules/github-api.ts
@@ -41,9 +41,18 @@ export interface GitHubAPI {
getGitHubUser: () => Promise>;
listGitHubUserRepos: () => Promise }>>;
- // Repository detection
+ // Repository detection and management
detectGitHubRepo: (projectPath: string) => Promise>;
getGitHubBranches: (repo: string, token: string) => Promise>;
+ createGitHubRepo: (
+ repoName: string,
+ options: { description?: string; isPrivate?: boolean; projectPath: string; owner?: string }
+ ) => Promise>;
+ addGitRemote: (
+ projectPath: string,
+ repoFullName: string
+ ) => Promise>;
+ listGitHubOrgs: () => Promise }>>;
// Event Listeners
onGitHubInvestigationProgress: (
@@ -113,13 +122,28 @@ export const createGitHubAPI = (): GitHubAPI => ({
listGitHubUserRepos: (): Promise }>> =>
invokeIpc(IPC_CHANNELS.GITHUB_LIST_USER_REPOS),
- // Repository detection
+ // Repository detection and management
detectGitHubRepo: (projectPath: string): Promise> =>
invokeIpc(IPC_CHANNELS.GITHUB_DETECT_REPO, projectPath),
getGitHubBranches: (repo: string, token: string): Promise> =>
invokeIpc(IPC_CHANNELS.GITHUB_GET_BRANCHES, repo, token),
+ createGitHubRepo: (
+ repoName: string,
+ options: { description?: string; isPrivate?: boolean; projectPath: string; owner?: string }
+ ): Promise> =>
+ invokeIpc(IPC_CHANNELS.GITHUB_CREATE_REPO, repoName, options),
+
+ addGitRemote: (
+ projectPath: string,
+ repoFullName: string
+ ): Promise> =>
+ invokeIpc(IPC_CHANNELS.GITHUB_ADD_REMOTE, projectPath, repoFullName),
+
+ listGitHubOrgs: (): Promise }>> =>
+ invokeIpc(IPC_CHANNELS.GITHUB_LIST_ORGS),
+
// Event Listeners
onGitHubInvestigationProgress: (
callback: (projectId: string, status: GitHubInvestigationStatus) => void
diff --git a/auto-claude-ui/src/preload/api/project-api.ts b/auto-claude-ui/src/preload/api/project-api.ts
index cd7f8cca..4c9ac2ff 100644
--- a/auto-claude-ui/src/preload/api/project-api.ts
+++ b/auto-claude-ui/src/preload/api/project-api.ts
@@ -14,6 +14,13 @@ import type {
GitStatus
} from '../../shared/types';
+// Tab state interface (persisted in main process)
+export interface TabState {
+ openProjectIds: string[];
+ activeProjectId: string | null;
+ tabOrder: string[];
+}
+
export interface ProjectAPI {
// Project Management
addProject: (projectPath: string) => Promise>;
@@ -27,6 +34,10 @@ export interface ProjectAPI {
updateProjectAutoBuild: (projectId: string) => Promise>;
checkProjectVersion: (projectId: string) => Promise>;
+ // Tab State (persisted in main process for reliability)
+ getTabState: () => Promise>;
+ saveTabState: (tabState: TabState) => Promise;
+
// Context Operations
getProjectContext: (projectId: string) => Promise>;
refreshProjectIndex: (projectId: string) => Promise>;
@@ -49,20 +60,19 @@ export interface ProjectAPI {
) => Promise>;
getDefaultProjectLocation: () => Promise;
- // Docker & Infrastructure Operations (for Graphiti/FalkorDB)
- getInfrastructureStatus: (port?: number) => Promise>;
- startFalkorDB: (port?: number) => Promise>;
- stopFalkorDB: () => Promise>;
- openDockerDesktop: () => Promise>;
- getDockerDownloadUrl: () => Promise;
+ // Memory Infrastructure Operations (LadybugDB - no Docker required)
+ getMemoryInfrastructureStatus: (dbPath?: string) => Promise>;
+ listMemoryDatabases: (dbPath?: string) => Promise>;
+ testMemoryConnection: (dbPath?: string, database?: string) => Promise>;
// Graphiti Validation Operations
- validateFalkorDBConnection: (uri: string) => Promise>;
- validateOpenAIApiKey: (apiKey: string) => Promise>;
- testGraphitiConnection: (
- falkorDbUri: string,
- openAiApiKey: string
- ) => Promise>;
+ validateLLMApiKey: (provider: string, apiKey: string) => Promise>;
+ testGraphitiConnection: (config: {
+ dbPath?: string;
+ database?: string;
+ llmProvider: string;
+ apiKey: string;
+ }) => Promise>;
// Git Operations
getGitBranches: (projectPath: string) => Promise>;
@@ -70,6 +80,41 @@ export interface ProjectAPI {
detectMainBranch: (projectPath: string) => Promise>;
checkGitStatus: (projectPath: string) => Promise>;
initializeGit: (projectPath: string) => Promise>;
+
+ // Ollama Model Detection
+ checkOllamaStatus: (baseUrl?: string) => Promise>;
+ listOllamaModels: (baseUrl?: string) => Promise;
+ count: number;
+ }>>;
+ listOllamaEmbeddingModels: (baseUrl?: string) => Promise;
+ count: number;
+ }>>;
+ pullOllamaModel: (modelName: string, baseUrl?: string) => Promise>;
}
export const createProjectAPI = (): ProjectAPI => ({
@@ -98,6 +143,13 @@ export const createProjectAPI = (): ProjectAPI => ({
checkProjectVersion: (projectId: string): Promise> =>
ipcRenderer.invoke(IPC_CHANNELS.PROJECT_CHECK_VERSION, projectId),
+ // Tab State (persisted in main process for reliability)
+ getTabState: (): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.TAB_STATE_GET),
+
+ saveTabState: (tabState: TabState): Promise =>
+ ipcRenderer.invoke(IPC_CHANNELS.TAB_STATE_SAVE, tabState),
+
// Context Operations
getProjectContext: (projectId: string) =>
ipcRenderer.invoke(IPC_CHANNELS.CONTEXT_GET, projectId),
@@ -141,34 +193,27 @@ export const createProjectAPI = (): ProjectAPI => ({
getDefaultProjectLocation: (): Promise =>
ipcRenderer.invoke(IPC_CHANNELS.DIALOG_GET_DEFAULT_PROJECT_LOCATION),
- // Docker & Infrastructure Operations
- getInfrastructureStatus: (port?: number): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.DOCKER_STATUS, port),
+ // Memory Infrastructure Operations (LadybugDB - no Docker required)
+ getMemoryInfrastructureStatus: (dbPath?: string): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.MEMORY_STATUS, dbPath),
- startFalkorDB: (port?: number): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.DOCKER_START_FALKORDB, port),
+ listMemoryDatabases: (dbPath?: string): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.MEMORY_LIST_DATABASES, dbPath),
- stopFalkorDB: (): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.DOCKER_STOP_FALKORDB),
-
- openDockerDesktop: (): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.DOCKER_OPEN_DESKTOP),
-
- getDockerDownloadUrl: (): Promise =>
- ipcRenderer.invoke(IPC_CHANNELS.DOCKER_GET_DOWNLOAD_URL),
+ testMemoryConnection: (dbPath?: string, database?: string): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.MEMORY_TEST_CONNECTION, dbPath, database),
// Graphiti Validation Operations
- validateFalkorDBConnection: (uri: string): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.GRAPHITI_VALIDATE_FALKORDB, uri),
+ validateLLMApiKey: (provider: string, apiKey: string): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.GRAPHITI_VALIDATE_LLM, provider, apiKey),
- validateOpenAIApiKey: (apiKey: string): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.GRAPHITI_VALIDATE_OPENAI, apiKey),
-
- testGraphitiConnection: (
- falkorDbUri: string,
- openAiApiKey: string
- ): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.GRAPHITI_TEST_CONNECTION, falkorDbUri, openAiApiKey),
+ testGraphitiConnection: (config: {
+ dbPath?: string;
+ database?: string;
+ llmProvider: string;
+ apiKey: string;
+ }): Promise> =>
+ ipcRenderer.invoke(IPC_CHANNELS.GRAPHITI_TEST_CONNECTION, config),
// Git Operations
getGitBranches: (projectPath: string): Promise> =>
@@ -184,5 +229,18 @@ export const createProjectAPI = (): ProjectAPI => ({
ipcRenderer.invoke(IPC_CHANNELS.GIT_CHECK_STATUS, projectPath),
initializeGit: (projectPath: string): Promise> =>
- ipcRenderer.invoke(IPC_CHANNELS.GIT_INITIALIZE, projectPath)
+ ipcRenderer.invoke(IPC_CHANNELS.GIT_INITIALIZE, projectPath),
+
+ // Ollama Model Detection
+ checkOllamaStatus: (baseUrl?: string) =>
+ ipcRenderer.invoke(IPC_CHANNELS.OLLAMA_CHECK_STATUS, baseUrl),
+
+ listOllamaModels: (baseUrl?: string) =>
+ ipcRenderer.invoke(IPC_CHANNELS.OLLAMA_LIST_MODELS, baseUrl),
+
+ listOllamaEmbeddingModels: (baseUrl?: string) =>
+ ipcRenderer.invoke(IPC_CHANNELS.OLLAMA_LIST_EMBEDDING_MODELS, baseUrl),
+
+ pullOllamaModel: (modelName: string, baseUrl?: string) =>
+ ipcRenderer.invoke(IPC_CHANNELS.OLLAMA_PULL_MODEL, modelName, baseUrl)
});
diff --git a/auto-claude-ui/src/renderer/App.tsx b/auto-claude-ui/src/renderer/App.tsx
index 2961a920..60968df9 100644
--- a/auto-claude-ui/src/renderer/App.tsx
+++ b/auto-claude-ui/src/renderer/App.tsx
@@ -1,5 +1,18 @@
import { useState, useEffect } from 'react';
import { Settings2, Download, RefreshCw, AlertCircle } from 'lucide-react';
+import {
+ DndContext,
+ DragOverlay,
+ closestCenter,
+ PointerSensor,
+ useSensor,
+ useSensors,
+ type DragEndEvent
+} from '@dnd-kit/core';
+import {
+ SortableContext,
+ horizontalListSortingStrategy
+} from '@dnd-kit/sortable';
import { TooltipProvider } from './components/ui/tooltip';
import { Button } from './components/ui/button';
import {
@@ -44,6 +57,7 @@ import { useTerminalStore, restoreTerminalSessions } from './stores/terminal-sto
import { useIpcListeners } from './hooks/useIpc';
import { COLOR_THEMES } from '../shared/constants';
import type { Task, Project, ColorTheme } from '../shared/types';
+import { ProjectTabBar } from './components/ProjectTabBar';
export function App() {
// Load IPC listeners for real-time updates
@@ -52,6 +66,13 @@ export function App() {
// Stores
const projects = useProjectStore((state) => state.projects);
const selectedProjectId = useProjectStore((state) => state.selectedProjectId);
+ const activeProjectId = useProjectStore((state) => state.activeProjectId);
+ const getProjectTabs = useProjectStore((state) => state.getProjectTabs);
+ const openProjectIds = useProjectStore((state) => state.openProjectIds);
+ const openProjectTab = useProjectStore((state) => state.openProjectTab);
+ const closeProjectTab = useProjectStore((state) => state.closeProjectTab);
+ const setActiveProject = useProjectStore((state) => state.setActiveProject);
+ const reorderTabs = useProjectStore((state) => state.reorderTabs);
const tasks = useTaskStore((state) => state.tasks);
const settings = useSettingsStore((state) => state.settings);
const settingsLoading = useSettingsStore((state) => state.isLoading);
@@ -77,8 +98,21 @@ export function App() {
const [showGitHubSetup, setShowGitHubSetup] = useState(false);
const [gitHubSetupProject, setGitHubSetupProject] = useState(null);
- // Get selected project
- const selectedProject = projects.find((p) => p.id === selectedProjectId);
+ // Setup drag sensors
+ const sensors = useSensors(
+ useSensor(PointerSensor, {
+ activationConstraint: {
+ distance: 8, // 8px movement required before drag starts
+ },
+ })
+ );
+
+ // Track dragging state for overlay
+ const [activeDragProject, setActiveDragProject] = useState(null);
+
+ // Get tabs and selected project
+ const projectTabs = getProjectTabs();
+ const selectedProject = projects.find((p) => p.id === (activeProjectId || selectedProjectId));
// Initial load
useEffect(() => {
@@ -86,6 +120,53 @@ export function App() {
loadSettings();
}, []);
+ // Restore tab state and open tabs for loaded projects
+ useEffect(() => {
+ console.log('[App] Tab restore useEffect triggered:', {
+ projectsCount: projects.length,
+ openProjectIds,
+ activeProjectId,
+ selectedProjectId,
+ projectTabsCount: projectTabs.length,
+ projectTabIds: projectTabs.map(p => p.id)
+ });
+
+ if (projects.length > 0) {
+ // Check openProjectIds (persisted state) instead of projectTabs (computed)
+ // to avoid race condition where projectTabs is empty before projects load
+ if (openProjectIds.length === 0) {
+ // No tabs persisted at all, open the first available project
+ const projectToOpen = activeProjectId || selectedProjectId || projects[0].id;
+ console.log('[App] No tabs persisted, opening project:', projectToOpen);
+ // Verify the project exists before opening
+ if (projects.some(p => p.id === projectToOpen)) {
+ openProjectTab(projectToOpen);
+ setActiveProject(projectToOpen);
+ } else {
+ // Fallback to first project if stored IDs are invalid
+ console.log('[App] Project not found, falling back to first project:', projects[0].id);
+ openProjectTab(projects[0].id);
+ setActiveProject(projects[0].id);
+ }
+ return;
+ }
+ console.log('[App] Tabs already persisted, checking active project');
+ // If there's an active project but no tabs open for it, open a tab
+ if (activeProjectId && !projectTabs.some(tab => tab.id === activeProjectId)) {
+ console.log('[App] Active project has no tab, opening:', activeProjectId);
+ openProjectTab(activeProjectId);
+ }
+ // If there's a selected project but no active project, make it active
+ else if (selectedProjectId && !activeProjectId) {
+ console.log('[App] No active project, using selected:', selectedProjectId);
+ setActiveProject(selectedProjectId);
+ openProjectTab(selectedProjectId);
+ } else {
+ console.log('[App] Tab state is valid, no action needed');
+ }
+ }
+ }, [projects, activeProjectId, selectedProjectId, openProjectIds, projectTabs, openProjectTab, setActiveProject]);
+
// Track if settings have been loaded at least once
const [settingsHaveLoaded, setSettingsHaveLoaded] = useState(false);
@@ -135,11 +216,22 @@ export function App() {
};
}, []);
+ // Reset init success flag when selected project changes
+ // This allows the init dialog to show for new/different projects
+ useEffect(() => {
+ setInitSuccess(false);
+ setInitError(null);
+ }, [selectedProjectId]);
+
// Check if selected project needs initialization (e.g., .auto-claude folder was deleted)
useEffect(() => {
// Don't show dialog while initialization is in progress
if (isInitializing) return;
+ // Don't reopen dialog after successful initialization
+ // (project update with autoBuildPath may not have propagated yet)
+ if (initSuccess) return;
+
if (selectedProject && !selectedProject.autoBuildPath && skippedInitProjectId !== selectedProject.id) {
// Project exists but isn't initialized - show init dialog
setPendingProject(selectedProject);
@@ -147,12 +239,52 @@ export function App() {
setInitSuccess(false); // Reset success flag
setShowInitDialog(true);
}
- }, [selectedProject, skippedInitProjectId, isInitializing]);
+ }, [selectedProject, skippedInitProjectId, isInitializing, initSuccess]);
+
+ // Global keyboard shortcut: Cmd/Ctrl+T to add project (when not on terminals view)
+ useEffect(() => {
+ const handleKeyDown = async (e: KeyboardEvent) => {
+ // Skip if in input fields
+ if (
+ e.target instanceof HTMLInputElement ||
+ e.target instanceof HTMLTextAreaElement ||
+ (e.target as HTMLElement)?.isContentEditable
+ ) {
+ return;
+ }
+
+ // Cmd/Ctrl+T: Add new project (only when not on terminals view)
+ if ((e.ctrlKey || e.metaKey) && e.key === 't' && activeView !== 'terminals') {
+ e.preventDefault();
+ try {
+ const path = await window.electronAPI.selectDirectory();
+ if (path) {
+ const project = await addProject(path);
+ if (project) {
+ openProjectTab(project.id);
+ if (!project.autoBuildPath) {
+ setPendingProject(project);
+ setInitError(null);
+ setInitSuccess(false);
+ setShowInitDialog(true);
+ }
+ }
+ }
+ } catch (error) {
+ console.error('Failed to add project:', error);
+ }
+ }
+ };
+
+ window.addEventListener('keydown', handleKeyDown);
+ return () => window.removeEventListener('keydown', handleKeyDown);
+ }, [activeView, openProjectTab]);
// Load tasks when project changes
useEffect(() => {
- if (selectedProjectId) {
- loadTasks(selectedProjectId);
+ const currentProjectId = activeProjectId || selectedProjectId;
+ if (currentProjectId) {
+ loadTasks(currentProjectId);
setSelectedTask(null); // Clear selection on project change
} else {
useTaskStore.getState().clearTasks();
@@ -173,7 +305,7 @@ export function App() {
console.error('[App] Failed to restore sessions:', err);
});
}
- }, [selectedProjectId, selectedProject?.path, selectedProject?.name]);
+ }, [activeProjectId, selectedProjectId, selectedProject?.path, selectedProject?.name]);
// Apply theme on load
useEffect(() => {
@@ -250,12 +382,17 @@ export function App() {
const path = await window.electronAPI.selectDirectory();
if (path) {
const project = await addProject(path);
- if (project && !project.autoBuildPath) {
- // Project doesn't have Auto Claude initialized, show init dialog
- setPendingProject(project);
- setInitError(null); // Clear any previous errors
- setInitSuccess(false); // Reset success flag
- setShowInitDialog(true);
+ if (project) {
+ // Open a tab for the new project
+ openProjectTab(project.id);
+
+ if (!project.autoBuildPath) {
+ // Project doesn't have Auto Claude initialized, show init dialog
+ setPendingProject(project);
+ setInitError(null); // Clear any previous errors
+ setInitSuccess(false); // Reset success flag
+ setShowInitDialog(true);
+ }
}
}
} catch (error) {
@@ -263,6 +400,38 @@ export function App() {
}
};
+ const handleProjectTabSelect = (projectId: string) => {
+ setActiveProject(projectId);
+ };
+
+ const handleProjectTabClose = (projectId: string) => {
+ closeProjectTab(projectId);
+ };
+
+ // Handle drag start - set the active dragged project
+ const handleDragStart = (event: any) => {
+ const { active } = event;
+ const draggedProject = projectTabs.find(p => p.id === active.id);
+ if (draggedProject) {
+ setActiveDragProject(draggedProject);
+ }
+ };
+
+ // Handle drag end - reorder tabs if dropped over another tab
+ const handleDragEnd = (event: DragEndEvent) => {
+ const { active, over } = event;
+ setActiveDragProject(null);
+
+ if (!over) return;
+
+ const oldIndex = projectTabs.findIndex(p => p.id === active.id);
+ const newIndex = projectTabs.findIndex(p => p.id === over.id);
+
+ if (oldIndex !== newIndex && oldIndex !== -1 && newIndex !== -1) {
+ reorderTabs(oldIndex, newIndex);
+ }
+ };
+
const handleInitialize = async () => {
if (!pendingProject) return;
@@ -386,6 +555,38 @@ export function App() {
{/* Main content */}
+ {/* Project Tabs */}
+ {projectTabs.length > 0 && (
+
+ p.id)} strategy={horizontalListSortingStrategy}>
+
+
+
+ {/* Drag overlay - shows what's being dragged */}
+
+ {activeDragProject && (
+
+
+
+ {activeDragProject.name}
+
+
+ )}
+
+
+ )}
+
{/* Header */}
@@ -432,21 +633,22 @@ export function App() {
setIsNewTaskDialogOpen(true)}
+ isActive={activeView === 'terminals'}
/>
- {activeView === 'roadmap' && selectedProjectId && (
-
+ {activeView === 'roadmap' && (activeProjectId || selectedProjectId) && (
+
)}
- {activeView === 'context' && selectedProjectId && (
-
+ {activeView === 'context' && (activeProjectId || selectedProjectId) && (
+
)}
- {activeView === 'ideation' && selectedProjectId && (
-
+ {activeView === 'ideation' && (activeProjectId || selectedProjectId) && (
+
)}
- {activeView === 'insights' && selectedProjectId && (
-
+ {activeView === 'insights' && (activeProjectId || selectedProjectId) && (
+
)}
- {activeView === 'github-issues' && selectedProjectId && (
+ {activeView === 'github-issues' && (activeProjectId || selectedProjectId) && (
{
setSettingsInitialProjectSection('github');
@@ -455,11 +657,11 @@ export function App() {
onNavigateToTask={handleGoToTask}
/>
)}
- {activeView === 'changelog' && selectedProjectId && (
+ {activeView === 'changelog' && (activeProjectId || selectedProjectId) && (
)}
- {activeView === 'worktrees' && selectedProjectId && (
-
+ {activeView === 'worktrees' && (activeProjectId || selectedProjectId) && (
+
)}
{activeView === 'agent-tools' && (
@@ -477,7 +679,9 @@ export function App() {
projects={projects}
onNewProject={handleAddProject}
onOpenProject={handleAddProject}
- onSelectProject={(projectId) => useProjectStore.getState().selectProject(projectId)}
+ onSelectProject={(projectId) => {
+ openProjectTab(projectId);
+ }}
/>
)}
@@ -491,9 +695,9 @@ export function App() {
/>
{/* Dialogs */}
- {selectedProjectId && (
+ {(activeProjectId || selectedProjectId) && (
diff --git a/auto-claude-ui/src/renderer/__tests__/project-store-tabs.test.ts b/auto-claude-ui/src/renderer/__tests__/project-store-tabs.test.ts
new file mode 100644
index 00000000..0727d89b
--- /dev/null
+++ b/auto-claude-ui/src/renderer/__tests__/project-store-tabs.test.ts
@@ -0,0 +1,478 @@
+/**
+ * Unit tests for Project Store Tab Management
+ * Tests Zustand store for project tab state management
+ *
+ * Note: Tab state persistence is now handled via IPC (saveTabState/getTabState)
+ * rather than localStorage. The saveTabState calls are debounced, so we don't
+ * assert on them directly in these unit tests.
+ */
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+import { useProjectStore } from '../stores/project-store';
+import type { Project, ProjectSettings } from '../../shared/types';
+
+// Helper to create test projects
+function createTestProject(overrides: Partial
= {}): Project {
+ const defaultSettings: ProjectSettings = {
+ model: 'claude-3-opus',
+ memoryBackend: 'graphiti',
+ linearSync: false,
+ notifications: {
+ onTaskComplete: true,
+ onTaskFailed: true,
+ onReviewNeeded: true,
+ sound: false
+ },
+ graphitiMcpEnabled: false
+ };
+
+ return {
+ id: `project-${Date.now()}-${Math.random().toString(36).substring(7)}`,
+ name: 'Test Project',
+ path: '/path/to/test-project',
+ autoBuildPath: '.auto-claude',
+ settings: defaultSettings,
+ createdAt: new Date(),
+ updatedAt: new Date(),
+ ...overrides
+ };
+}
+
+
+describe('Project Store Tab Management', () => {
+ beforeEach(() => {
+ // Reset store to initial state before each test
+ useProjectStore.setState({
+ projects: [],
+ selectedProjectId: null,
+ isLoading: false,
+ error: null,
+ openProjectIds: [],
+ activeProjectId: null,
+ tabOrder: []
+ });
+
+ vi.clearAllMocks();
+ });
+
+ afterEach(() => {
+ vi.clearAllMocks();
+ });
+
+ describe('openProjectTab', () => {
+ it('should open a new project tab', () => {
+ const project = createTestProject({ id: 'project-1' });
+ useProjectStore.setState({ projects: [project] });
+
+ useProjectStore.getState().openProjectTab('project-1');
+
+ expect(useProjectStore.getState().openProjectIds).toContain('project-1');
+ expect(useProjectStore.getState().activeProjectId).toBe('project-1');
+ expect(useProjectStore.getState().tabOrder).toContain('project-1');
+ });
+
+ it('should add to existing open tabs', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+ useProjectStore.setState({
+ projects: [project1, project2],
+ openProjectIds: ['project-1'],
+ activeProjectId: 'project-1',
+ tabOrder: ['project-1']
+ });
+
+ useProjectStore.getState().openProjectTab('project-2');
+
+ expect(useProjectStore.getState().openProjectIds).toEqual(['project-1', 'project-2']);
+ expect(useProjectStore.getState().activeProjectId).toBe('project-2');
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-1', 'project-2']);
+ });
+
+ it('should not duplicate existing tab', () => {
+ const project = createTestProject({ id: 'project-1' });
+ useProjectStore.setState({
+ projects: [project],
+ openProjectIds: ['project-1'],
+ activeProjectId: 'project-1',
+ tabOrder: ['project-1']
+ });
+
+ useProjectStore.getState().openProjectTab('project-1');
+
+ // Should only have one entry
+ expect(useProjectStore.getState().openProjectIds).toEqual(['project-1']);
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-1']);
+ // Should still make it active
+ expect(useProjectStore.getState().activeProjectId).toBe('project-1');
+ });
+
+ it('should preserve existing tab order when adding new tab', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+ const project3 = createTestProject({ id: 'project-3' });
+ useProjectStore.setState({
+ projects: [project1, project2, project3],
+ openProjectIds: ['project-1', 'project-3'],
+ activeProjectId: 'project-3',
+ tabOrder: ['project-1', 'project-3']
+ });
+
+ useProjectStore.getState().openProjectTab('project-2');
+
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-1', 'project-3', 'project-2']);
+ });
+ });
+
+ describe('closeProjectTab', () => {
+ it('should close a project tab', () => {
+ useProjectStore.setState({
+ openProjectIds: ['project-1', 'project-2'],
+ activeProjectId: 'project-2',
+ tabOrder: ['project-1', 'project-2']
+ });
+
+ useProjectStore.getState().closeProjectTab('project-1');
+
+ expect(useProjectStore.getState().openProjectIds).toEqual(['project-2']);
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-2']);
+ });
+
+ it('should activate first remaining tab when closing active tab', () => {
+ useProjectStore.setState({
+ openProjectIds: ['project-1', 'project-2', 'project-3'],
+ activeProjectId: 'project-2',
+ tabOrder: ['project-1', 'project-2', 'project-3']
+ });
+
+ useProjectStore.getState().closeProjectTab('project-2');
+
+ // After removing project-2 from tabOrder, we get ['project-1', 'project-3']
+ // The first tab in the remaining order is 'project-1'
+ expect(useProjectStore.getState().activeProjectId).toBe('project-1');
+ });
+
+ it('should activate previous tab when closing active tab and no next tab', () => {
+ useProjectStore.setState({
+ openProjectIds: ['project-1', 'project-2'],
+ activeProjectId: 'project-2',
+ tabOrder: ['project-1', 'project-2']
+ });
+
+ useProjectStore.getState().closeProjectTab('project-2');
+
+ expect(useProjectStore.getState().activeProjectId).toBe('project-1');
+ });
+
+ it('should set activeProjectId to null when closing last tab', () => {
+ useProjectStore.setState({
+ openProjectIds: ['project-1'],
+ activeProjectId: 'project-1',
+ tabOrder: ['project-1']
+ });
+
+ useProjectStore.getState().closeProjectTab('project-1');
+
+ expect(useProjectStore.getState().activeProjectId).toBeNull();
+ });
+
+ it('should not affect activeProjectId when closing non-active tab', () => {
+ useProjectStore.setState({
+ openProjectIds: ['project-1', 'project-2'],
+ activeProjectId: 'project-2',
+ tabOrder: ['project-1', 'project-2']
+ });
+
+ useProjectStore.getState().closeProjectTab('project-1');
+
+ expect(useProjectStore.getState().activeProjectId).toBe('project-2');
+ });
+ });
+
+ describe('setActiveProject', () => {
+ it('should set active project', () => {
+ useProjectStore.setState({ activeProjectId: null });
+
+ useProjectStore.getState().setActiveProject('project-1');
+
+ expect(useProjectStore.getState().activeProjectId).toBe('project-1');
+ });
+
+ it('should clear active project with null', () => {
+ useProjectStore.setState({ activeProjectId: 'project-1' });
+
+ useProjectStore.getState().setActiveProject(null);
+
+ expect(useProjectStore.getState().activeProjectId).toBeNull();
+ });
+
+ it('should also update selectedProjectId for backward compatibility', () => {
+ useProjectStore.setState({ selectedProjectId: null });
+
+ useProjectStore.getState().setActiveProject('project-1');
+
+ expect(useProjectStore.getState().selectedProjectId).toBe('project-1');
+ });
+ });
+
+ describe('reorderTabs', () => {
+ it('should reorder tabs by moving from index to index', () => {
+ useProjectStore.setState({
+ tabOrder: ['project-1', 'project-2', 'project-3', 'project-4']
+ });
+
+ // Move project-3 from index 2 to index 1
+ useProjectStore.getState().reorderTabs(2, 1);
+
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-1', 'project-3', 'project-2', 'project-4']);
+ });
+
+ it('should handle moving tab to the end', () => {
+ useProjectStore.setState({
+ tabOrder: ['project-1', 'project-2', 'project-3']
+ });
+
+ // Move project-1 from index 0 to index 2
+ useProjectStore.getState().reorderTabs(0, 2);
+
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-2', 'project-3', 'project-1']);
+ });
+
+ it('should handle moving tab to the beginning', () => {
+ useProjectStore.setState({
+ tabOrder: ['project-1', 'project-2', 'project-3']
+ });
+
+ // Move project-3 from index 2 to index 0
+ useProjectStore.getState().reorderTabs(2, 0);
+
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-3', 'project-1', 'project-2']);
+ });
+
+ it('should handle no-op reordering (same index)', () => {
+ useProjectStore.setState({
+ tabOrder: ['project-1', 'project-2', 'project-3']
+ });
+
+ useProjectStore.getState().reorderTabs(1, 1);
+
+ expect(useProjectStore.getState().tabOrder).toEqual(['project-1', 'project-2', 'project-3']);
+ });
+ });
+
+ describe('restoreTabState', () => {
+ it('should be a no-op (tab state is now loaded via IPC in loadProjects)', () => {
+ // Set up some initial state
+ useProjectStore.setState({
+ openProjectIds: ['existing'],
+ activeProjectId: 'existing',
+ tabOrder: ['existing']
+ });
+
+ // restoreTabState is now a no-op - it just logs
+ useProjectStore.getState().restoreTabState();
+
+ // State should remain unchanged (not modified by restoreTabState)
+ expect(useProjectStore.getState().openProjectIds).toEqual(['existing']);
+ expect(useProjectStore.getState().activeProjectId).toBe('existing');
+ expect(useProjectStore.getState().tabOrder).toEqual(['existing']);
+ });
+ });
+
+ describe('getOpenProjects', () => {
+ it('should return projects that are open', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+ const project3 = createTestProject({ id: 'project-3' });
+
+ useProjectStore.setState({
+ projects: [project1, project2, project3],
+ openProjectIds: ['project-1', 'project-3']
+ });
+
+ const openProjects = useProjectStore.getState().getOpenProjects();
+
+ expect(openProjects).toHaveLength(2);
+ expect(openProjects.map(p => p.id)).toEqual(['project-1', 'project-3']);
+ });
+
+ it('should return empty array when no projects are open', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({
+ projects: [project1],
+ openProjectIds: []
+ });
+
+ const openProjects = useProjectStore.getState().getOpenProjects();
+
+ expect(openProjects).toHaveLength(0);
+ });
+
+ it('should handle open project IDs that dont exist in projects', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({
+ projects: [project1],
+ openProjectIds: ['project-1', 'non-existent']
+ });
+
+ const openProjects = useProjectStore.getState().getOpenProjects();
+
+ expect(openProjects).toHaveLength(1);
+ expect(openProjects[0].id).toBe('project-1');
+ });
+ });
+
+ describe('getActiveProject', () => {
+ it('should return the active project', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+
+ useProjectStore.setState({
+ projects: [project1, project2],
+ activeProjectId: 'project-2'
+ });
+
+ const activeProject = useProjectStore.getState().getActiveProject();
+
+ expect(activeProject).toBeDefined();
+ expect(activeProject?.id).toBe('project-2');
+ });
+
+ it('should return undefined when no active project', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({
+ projects: [project1],
+ activeProjectId: null
+ });
+
+ const activeProject = useProjectStore.getState().getActiveProject();
+
+ expect(activeProject).toBeUndefined();
+ });
+
+ it('should return undefined when active project ID does not exist', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({
+ projects: [project1],
+ activeProjectId: 'non-existent'
+ });
+
+ const activeProject = useProjectStore.getState().getActiveProject();
+
+ expect(activeProject).toBeUndefined();
+ });
+ });
+
+ describe('getProjectTabs', () => {
+ it('should return projects in tab order', () => {
+ const project1 = createTestProject({ id: 'project-1', name: 'Project 1' });
+ const project2 = createTestProject({ id: 'project-2', name: 'Project 2' });
+ const project3 = createTestProject({ id: 'project-3', name: 'Project 3' });
+
+ useProjectStore.setState({
+ projects: [project1, project2, project3],
+ openProjectIds: ['project-1', 'project-2', 'project-3'],
+ tabOrder: ['project-3', 'project-1', 'project-2']
+ });
+
+ const tabs = useProjectStore.getState().getProjectTabs();
+
+ expect(tabs).toHaveLength(3);
+ expect(tabs.map(p => p.id)).toEqual(['project-3', 'project-1', 'project-2']);
+ });
+
+ it('should append open projects not in tab order', () => {
+ const project1 = createTestProject({ id: 'project-1', name: 'Project 1' });
+ const project2 = createTestProject({ id: 'project-2', name: 'Project 2' });
+ const project3 = createTestProject({ id: 'project-3', name: 'Project 3' });
+
+ useProjectStore.setState({
+ projects: [project1, project2, project3],
+ openProjectIds: ['project-1', 'project-2', 'project-3'],
+ tabOrder: ['project-2'] // Only project-2 is in tabOrder
+ });
+
+ const tabs = useProjectStore.getState().getProjectTabs();
+
+ expect(tabs).toHaveLength(3);
+ // project-2 should be first (from tabOrder), others appended
+ expect(tabs[0].id).toBe('project-2');
+ expect(tabs.slice(1).map(p => p.id)).toContain('project-1');
+ expect(tabs.slice(1).map(p => p.id)).toContain('project-3');
+ });
+
+ it('should return empty array when no tabs are open', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({
+ projects: [project1],
+ openProjectIds: [],
+ tabOrder: []
+ });
+
+ const tabs = useProjectStore.getState().getProjectTabs();
+
+ expect(tabs).toHaveLength(0);
+ });
+
+ it('should handle tab order entries for projects that are not open', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+
+ useProjectStore.setState({
+ projects: [project1, project2],
+ openProjectIds: ['project-1'], // Only project-1 is actually open
+ tabOrder: ['project-2', 'project-1'] // tabOrder has project-2
+ });
+
+ const tabs = useProjectStore.getState().getProjectTabs();
+
+ // getProjectTabs returns all projects in tabOrder, then adds open projects not in tabOrder
+ // So it returns project-2 (from tabOrder) and project-1 (from tabOrder)
+ // Even though project-2 is not in openProjectIds
+ expect(tabs).toHaveLength(2);
+ expect(tabs[0].id).toBe('project-2'); // First in tabOrder
+ expect(tabs[1].id).toBe('project-1'); // Second in tabOrder
+ });
+ });
+
+ describe('Integration with existing project operations', () => {
+ it('should open tab when adding project', () => {
+ const project = createTestProject({ id: 'project-1' });
+
+ useProjectStore.setState({ projects: [] });
+ useProjectStore.getState().addProject(project);
+ useProjectStore.getState().selectProject(project.id);
+ useProjectStore.getState().openProjectTab(project.id);
+
+ expect(useProjectStore.getState().projects).toContain(project);
+ expect(useProjectStore.getState().selectedProjectId).toBe(project.id);
+ expect(useProjectStore.getState().openProjectIds).toContain(project.id);
+ expect(useProjectStore.getState().activeProjectId).toBe(project.id);
+ });
+
+ it('should update selectedProjectId when removing project', () => {
+ const project1 = createTestProject({ id: 'project-1' });
+ const project2 = createTestProject({ id: 'project-2' });
+
+ useProjectStore.setState({
+ projects: [project1, project2],
+ openProjectIds: ['project-1', 'project-2'],
+ activeProjectId: 'project-2',
+ selectedProjectId: 'project-1'
+ });
+
+ useProjectStore.getState().removeProject('project-1');
+
+ expect(useProjectStore.getState().projects).not.toContain(
+ expect.objectContaining({ id: 'project-1' })
+ );
+ // removeProject clears selectedProjectId if it matches the removed project
+ expect(useProjectStore.getState().selectedProjectId).toBeNull();
+ // Note: openProjectIds is not automatically cleared by removeProject
+ // This would be handled by the UI layer when it detects the project was removed
+ });
+ });
+});
diff --git a/auto-claude-ui/src/renderer/components/AgentProfileSelector.tsx b/auto-claude-ui/src/renderer/components/AgentProfileSelector.tsx
index 88a16942..9b175daf 100644
--- a/auto-claude-ui/src/renderer/components/AgentProfileSelector.tsx
+++ b/auto-claude-ui/src/renderer/components/AgentProfileSelector.tsx
@@ -149,11 +149,11 @@ export function AgentProfileSelector({
description: profile.description
};
}
- // Default to balanced
+ // Default to auto profile (the actual default)
return {
- icon: Scale,
- label: 'Balanced',
- description: 'Good balance of speed and quality'
+ icon: Sparkles,
+ label: 'Auto (Optimized)',
+ description: 'Uses Opus across all phases with optimized thinking levels'
};
};
diff --git a/auto-claude-ui/src/renderer/components/FileAutocomplete.tsx b/auto-claude-ui/src/renderer/components/FileAutocomplete.tsx
new file mode 100644
index 00000000..f511e2dc
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/FileAutocomplete.tsx
@@ -0,0 +1,236 @@
+import { useState, useEffect, useCallback, useRef, useMemo } from 'react';
+import { File, Folder, ChevronRight } from 'lucide-react';
+import { cn } from '../lib/utils';
+import { useFileExplorerStore } from '../stores/file-explorer-store';
+import type { FileNode } from '../../shared/types';
+
+interface FileAutocompleteProps {
+ query: string;
+ projectPath: string;
+ position: { top: number; left: number };
+ onSelect: (filename: string, fullPath: string) => void;
+ onClose: () => void;
+ maxResults?: number;
+}
+
+/**
+ * Autocomplete popup for @ file mentions in the task description.
+ * Shows filtered list of files based on the query after @.
+ */
+export function FileAutocomplete({
+ query,
+ projectPath,
+ position,
+ onSelect,
+ onClose,
+ maxResults = 10
+}: FileAutocompleteProps) {
+ const [selectedIndex, setSelectedIndex] = useState(0);
+ const listRef = useRef(null);
+ const { files, loadDirectory } = useFileExplorerStore();
+
+ // Load root directory if not cached
+ useEffect(() => {
+ if (projectPath && !files.has(projectPath)) {
+ loadDirectory(projectPath);
+ }
+ }, [projectPath, files, loadDirectory]);
+
+ // Collect all files from cache (flatten the tree)
+ const allFiles = useMemo(() => {
+ const result: FileNode[] = [];
+
+ // Recursive function to collect all cached files
+ const collectFiles = (dirPath: string, visited = new Set()) => {
+ if (visited.has(dirPath)) return;
+ visited.add(dirPath);
+
+ const dirFiles = files.get(dirPath);
+ if (!dirFiles) return;
+
+ for (const file of dirFiles) {
+ result.push(file);
+ // For directories, also load and collect their children if cached
+ if (file.isDirectory && files.has(file.path)) {
+ collectFiles(file.path, visited);
+ }
+ }
+ };
+
+ collectFiles(projectPath);
+ return result;
+ }, [files, projectPath]);
+
+ // Filter files based on query
+ const filteredFiles = useMemo(() => {
+ if (!query) {
+ // Show most recently accessed or common files when no query
+ return allFiles.filter(f => !f.isDirectory).slice(0, maxResults);
+ }
+
+ const lowerQuery = query.toLowerCase();
+
+ // Score files by match quality
+ const scored = allFiles
+ .filter(f => !f.isDirectory) // Only files, not directories
+ .map(file => {
+ const name = file.name.toLowerCase();
+ const path = file.path.toLowerCase();
+
+ let score = 0;
+
+ // Exact name match (highest priority)
+ if (name === lowerQuery) {
+ score = 1000;
+ }
+ // Name starts with query
+ else if (name.startsWith(lowerQuery)) {
+ score = 100;
+ }
+ // Name contains query
+ else if (name.includes(lowerQuery)) {
+ score = 50;
+ }
+ // Path contains query
+ else if (path.includes(lowerQuery)) {
+ score = 10;
+ }
+
+ return { file, score };
+ })
+ .filter(item => item.score > 0)
+ .sort((a, b) => b.score - a.score)
+ .slice(0, maxResults)
+ .map(item => item.file);
+
+ return scored;
+ }, [allFiles, query, maxResults]);
+
+ // Reset selection when results change
+ useEffect(() => {
+ setSelectedIndex(0);
+ }, [filteredFiles]);
+
+ // Scroll selected item into view
+ useEffect(() => {
+ const list = listRef.current;
+ if (!list) return;
+
+ const selectedElement = list.children[selectedIndex] as HTMLElement;
+ if (selectedElement) {
+ selectedElement.scrollIntoView({ block: 'nearest' });
+ }
+ }, [selectedIndex]);
+
+ // Handle keyboard navigation
+ const handleKeyDown = useCallback((e: KeyboardEvent) => {
+ switch (e.key) {
+ case 'ArrowDown':
+ e.preventDefault();
+ setSelectedIndex(prev =>
+ prev < filteredFiles.length - 1 ? prev + 1 : prev
+ );
+ break;
+ case 'ArrowUp':
+ e.preventDefault();
+ setSelectedIndex(prev => prev > 0 ? prev - 1 : prev);
+ break;
+ case 'Enter':
+ e.preventDefault();
+ if (filteredFiles[selectedIndex]) {
+ const file = filteredFiles[selectedIndex];
+ onSelect(file.name, file.path);
+ }
+ break;
+ case 'Escape':
+ e.preventDefault();
+ onClose();
+ break;
+ case 'Tab':
+ e.preventDefault();
+ if (filteredFiles[selectedIndex]) {
+ const file = filteredFiles[selectedIndex];
+ onSelect(file.name, file.path);
+ }
+ break;
+ }
+ }, [filteredFiles, selectedIndex, onSelect, onClose]);
+
+ // Attach keyboard listener
+ useEffect(() => {
+ document.addEventListener('keydown', handleKeyDown);
+ return () => document.removeEventListener('keydown', handleKeyDown);
+ }, [handleKeyDown]);
+
+ // Get relative path from project root
+ const getRelativePath = (fullPath: string) => {
+ if (fullPath.startsWith(projectPath)) {
+ return fullPath.slice(projectPath.length + 1); // +1 for the slash
+ }
+ return fullPath;
+ };
+
+ // Don't render if no results
+ if (filteredFiles.length === 0) {
+ return (
+
+ No files found
+
+ );
+ }
+
+ return (
+
+
+ {filteredFiles.map((file, index) => (
+
onSelect(file.name, file.path)}
+ onMouseEnter={() => setSelectedIndex(index)}
+ >
+ {file.isDirectory ? (
+
+ ) : (
+
+ )}
+
+
{file.name}
+
+
+ {getRelativePath(file.path)}
+
+
+
+ ))}
+
+
+ ↑↓ navigate · Enter select · Esc close
+
+
+ );
+}
diff --git a/auto-claude-ui/src/renderer/components/FileTreeItem.tsx b/auto-claude-ui/src/renderer/components/FileTreeItem.tsx
index 7b72f29b..e0af5b94 100644
--- a/auto-claude-ui/src/renderer/components/FileTreeItem.tsx
+++ b/auto-claude-ui/src/renderer/components/FileTreeItem.tsx
@@ -116,13 +116,13 @@ export function FileTreeItem({
// Create a custom drag image using safe DOM manipulation (no innerHTML)
const dragImage = document.createElement('div');
dragImage.className = 'flex items-center gap-2 bg-card border border-primary rounded-md px-3 py-2 shadow-lg text-sm';
-
+
const iconSpan = document.createElement('span');
iconSpan.textContent = node.isDirectory ? '📁' : '📄';
-
+
const nameSpan = document.createElement('span');
nameSpan.textContent = node.name;
-
+
dragImage.appendChild(iconSpan);
dragImage.appendChild(nameSpan);
dragImage.style.position = 'absolute';
diff --git a/auto-claude-ui/src/renderer/components/GitHubSetupModal.tsx b/auto-claude-ui/src/renderer/components/GitHubSetupModal.tsx
index 3081ea12..08b988eb 100644
--- a/auto-claude-ui/src/renderer/components/GitHubSetupModal.tsx
+++ b/auto-claude-ui/src/renderer/components/GitHubSetupModal.tsx
@@ -7,7 +7,13 @@ import {
CheckCircle2,
AlertCircle,
ChevronRight,
- Sparkles
+ Sparkles,
+ Plus,
+ Link,
+ Lock,
+ Globe,
+ Building,
+ User
} from 'lucide-react';
import { Button } from './ui/button';
import {
@@ -19,6 +25,7 @@ import {
DialogTitle
} from './ui/dialog';
import { Label } from './ui/label';
+import { Input } from './ui/input';
import {
Select,
SelectContent,
@@ -38,7 +45,7 @@ interface GitHubSetupModalProps {
onSkip?: () => void;
}
-type SetupStep = 'github-auth' | 'claude-auth' | 'repo' | 'branch' | 'complete';
+type SetupStep = 'github-auth' | 'claude-auth' | 'repo-confirm' | 'repo' | 'branch' | 'complete';
/**
* Setup Modal - Required setup flow after Auto Claude initialization
@@ -67,10 +74,23 @@ export function GitHubSetupModal({
const [isLoadingRepo, setIsLoadingRepo] = useState(false);
const [error, setError] = useState(null);
- // Reset state when modal opens
+ // Repo setup state (for when no remote is detected)
+ const [repoAction, setRepoAction] = useState<'create' | 'link' | null>(null);
+ const [newRepoName, setNewRepoName] = useState('');
+ const [isPrivateRepo, setIsPrivateRepo] = useState(true);
+ const [existingRepoName, setExistingRepoName] = useState('');
+ const [isCreatingRepo, setIsCreatingRepo] = useState(false);
+
+ // Organization selection state
+ const [githubUsername, setGithubUsername] = useState(null);
+ const [organizations, setOrganizations] = useState>([]);
+ const [selectedOwner, setSelectedOwner] = useState(null);
+ const [isLoadingOrgs, setIsLoadingOrgs] = useState(false);
+
+ // Reset state and check existing auth when modal opens
useEffect(() => {
if (open) {
- setStep('github-auth');
+ // Reset all state first
setGithubToken(null);
setGithubRepo(null);
setDetectedRepo(null);
@@ -78,9 +98,84 @@ export function GitHubSetupModal({
setSelectedBranch(null);
setRecommendedBranch(null);
setError(null);
+ // Reset repo setup state
+ setRepoAction(null);
+ setNewRepoName(project.name.replace(/[^A-Za-z0-9_.-]/g, '-'));
+ setIsPrivateRepo(true);
+ setExistingRepoName('');
+ setIsCreatingRepo(false);
+ // Reset organization state
+ setGithubUsername(null);
+ setOrganizations([]);
+ setSelectedOwner(null);
+ setIsLoadingOrgs(false);
+
+ // Check for existing authentication and skip to appropriate step
+ const checkExistingAuth = async () => {
+ try {
+ // Check for existing GitHub token
+ const ghTokenResult = await window.electronAPI.getGitHubToken();
+ const hasGitHubAuth = ghTokenResult.success && ghTokenResult.data?.token;
+
+ // Check for existing Claude authentication
+ const profilesResult = await window.electronAPI.getClaudeProfiles();
+ let hasClaudeAuth = false;
+ if (profilesResult.success && profilesResult.data) {
+ const activeProfile = profilesResult.data.profiles.find(
+ (p) => p.id === profilesResult.data!.activeProfileId
+ );
+ hasClaudeAuth = !!(activeProfile?.oauthToken || (activeProfile?.isDefault && activeProfile?.configDir));
+ }
+
+ // Determine starting step based on existing auth
+ if (hasGitHubAuth && hasClaudeAuth) {
+ // Both authenticated, go directly to repo detection
+ setGithubToken(ghTokenResult.data!.token);
+ // detectRepository will be called and set the step
+ setStep('repo'); // Temporary, detectRepository will update
+ await detectRepository();
+ } else if (hasGitHubAuth) {
+ // Only GitHub authenticated, go to Claude auth
+ setGithubToken(ghTokenResult.data!.token);
+ setStep('claude-auth');
+ } else {
+ // No auth, start from beginning
+ setStep('github-auth');
+ }
+ } catch (err) {
+ console.error('Failed to check existing auth:', err);
+ // On error, start from beginning
+ setStep('github-auth');
+ }
+ };
+
+ checkExistingAuth();
}
}, [open]);
+ // Load user info and organizations
+ const loadUserAndOrgs = async () => {
+ setIsLoadingOrgs(true);
+ try {
+ // Get current user
+ const userResult = await window.electronAPI.getGitHubUser();
+ if (userResult.success && userResult.data) {
+ setGithubUsername(userResult.data.username);
+ setSelectedOwner(userResult.data.username); // Default to personal account
+ }
+
+ // Get organizations
+ const orgsResult = await window.electronAPI.listGitHubOrgs();
+ if (orgsResult.success && orgsResult.data) {
+ setOrganizations(orgsResult.data.orgs);
+ }
+ } catch (err) {
+ console.error('Failed to load user/orgs:', err);
+ } finally {
+ setIsLoadingOrgs(false);
+ }
+ };
+
// Detect repository from git remote when auth succeeds
const detectRepository = async () => {
setIsLoadingRepo(true);
@@ -92,15 +187,16 @@ export function GitHubSetupModal({
if (result.success && result.data) {
setDetectedRepo(result.data);
setGithubRepo(result.data);
- setStep('branch');
- // Immediately load branches
- await loadBranches(result.data);
+ // Go to confirmation step instead of directly to branch
+ setStep('repo-confirm');
} else {
- // No remote detected, show repo input step
+ // No remote detected, load orgs and show repo setup step
+ await loadUserAndOrgs();
setStep('repo');
}
} catch (err) {
setError(err instanceof Error ? err.message : 'Failed to detect repository');
+ await loadUserAndOrgs();
setStep('repo');
} finally {
setIsLoadingRepo(false);
@@ -146,7 +242,27 @@ export function GitHubSetupModal({
// Handle GitHub OAuth success
const handleGitHubAuthSuccess = async (token: string) => {
setGithubToken(token);
- // Move to Claude auth step
+
+ // Check if Claude is already authenticated before showing auth step
+ try {
+ const profilesResult = await window.electronAPI.getClaudeProfiles();
+ if (profilesResult.success && profilesResult.data) {
+ const activeProfile = profilesResult.data.profiles.find(
+ (p) => p.id === profilesResult.data!.activeProfileId
+ );
+ // Check if active profile has authentication (oauthToken or default with configDir)
+ if (activeProfile?.oauthToken || (activeProfile?.isDefault && activeProfile?.configDir)) {
+ // Already authenticated, skip Claude auth and go directly to repo detection
+ await detectRepository();
+ return;
+ }
+ }
+ } catch (err) {
+ console.error('Failed to check Claude profiles:', err);
+ // On error, fall through to show Claude auth step
+ }
+
+ // Not authenticated, show Claude auth step
setStep('claude-auth');
};
@@ -157,6 +273,92 @@ export function GitHubSetupModal({
await detectRepository();
};
+ // Handle creating a new GitHub repository
+ const handleCreateRepo = async () => {
+ if (!newRepoName.trim()) {
+ setError('Please enter a repository name');
+ return;
+ }
+
+ if (!selectedOwner) {
+ setError('Please select an owner for the repository');
+ return;
+ }
+
+ setIsCreatingRepo(true);
+ setError(null);
+
+ try {
+ const result = await window.electronAPI.createGitHubRepo(newRepoName.trim(), {
+ isPrivate: isPrivateRepo,
+ projectPath: project.path,
+ owner: selectedOwner !== githubUsername ? selectedOwner : undefined // Only pass owner if it's an org
+ });
+
+ if (result.success && result.data) {
+ // Repo created and remote added automatically by gh CLI
+ setGithubRepo(result.data.fullName);
+ setDetectedRepo(result.data.fullName);
+ setStep('branch');
+ await loadBranches(result.data.fullName);
+ } else {
+ setError(result.error || 'Failed to create repository');
+ }
+ } catch (err) {
+ setError(err instanceof Error ? err.message : 'Failed to create repository');
+ } finally {
+ setIsCreatingRepo(false);
+ }
+ };
+
+ // Handle confirming the detected repository
+ const handleConfirmRepo = async () => {
+ if (detectedRepo) {
+ setStep('branch');
+ await loadBranches(detectedRepo);
+ }
+ };
+
+ // Handle changing the repository (go to repo setup)
+ const handleChangeRepo = async () => {
+ await loadUserAndOrgs();
+ setStep('repo');
+ };
+
+ // Handle linking to an existing GitHub repository
+ const handleLinkRepo = async () => {
+ if (!existingRepoName.trim()) {
+ setError('Please enter a repository name (owner/repo format)');
+ return;
+ }
+
+ // Validate format
+ if (!/^[A-Za-z0-9_.-]+\/[A-Za-z0-9_.-]+$/.test(existingRepoName.trim())) {
+ setError('Invalid format. Use owner/repo (e.g., username/my-project)');
+ return;
+ }
+
+ setIsCreatingRepo(true);
+ setError(null);
+
+ try {
+ const result = await window.electronAPI.addGitRemote(project.path, existingRepoName.trim());
+
+ if (result.success) {
+ setGithubRepo(existingRepoName.trim());
+ setDetectedRepo(existingRepoName.trim());
+ setStep('branch');
+ await loadBranches(existingRepoName.trim());
+ } else {
+ setError(result.error || 'Failed to add remote');
+ }
+ } catch (err) {
+ setError(err instanceof Error ? err.message : 'Failed to add remote');
+ } finally {
+ setIsCreatingRepo(false);
+ }
+ };
+
// Handle branch selection complete
const handleComplete = () => {
if (githubToken && githubRepo && selectedBranch) {
@@ -215,34 +417,235 @@ export function GitHubSetupModal({
>
);
+ case 'repo-confirm':
+ return (
+ <>
+
+
+
+ Confirm Repository
+
+
+ We detected a GitHub repository for this project. Please confirm or change it.
+
+
+
+
+
+
+
+
+
Repository Detected
+
+ {detectedRepo}
+
+
+
+
+
+
+ Auto Claude will use this repository for managing task branches and keeping your code up to date.
+
+
+ {error && (
+
+ {error}
+
+ )}
+
+
+
+
+ Use Different Repository
+
+
+
+ Confirm & Continue
+
+
+ >
+ );
+
case 'repo':
return (
<>
- Repository Not Detected
+ Connect to GitHub
- We couldn't detect a GitHub repository for this project. Please ensure your project has a GitHub remote configured.
+ Your project needs a GitHub repository. Create a new one or link to an existing repository.
-
-
-
+ {/* Action selection */}
+ {!repoAction && (
+
+
setRepoAction('create')}
+ className="flex flex-col items-center gap-2 p-4 rounded-lg border-2 border-dashed hover:border-primary hover:bg-primary/5 transition-colors"
+ >
+
+ Create New Repo
+
+ Create a new repository on GitHub
+
+
+
setRepoAction('link')}
+ className="flex flex-col items-center gap-2 p-4 rounded-lg border-2 border-dashed hover:border-primary hover:bg-primary/5 transition-colors"
+ >
+
+ Link Existing
+
+ Connect to an existing repository
+
+
+
+ )}
+
+ {/* Create new repo form */}
+ {repoAction === 'create' && (
+
+
+ setRepoAction(null)}
+ className="text-primary hover:underline"
+ >
+ ← Back
+
+ Create a new repository
+
+
+ {/* Owner selection */}
-
No GitHub remote found
-
- To use Auto Claude, your project needs to be connected to a GitHub repository.
-
-
- git remote add origin https://github.com/owner/repo.git
+
Owner
+ {isLoadingOrgs ? (
+
+
+ Loading accounts...
+
+ ) : (
+
+ {/* Personal account */}
+ {githubUsername && (
+ setSelectedOwner(githubUsername)}
+ className={`flex items-center gap-2 px-3 py-2 rounded-md border ${
+ selectedOwner === githubUsername
+ ? 'border-primary bg-primary/10 text-primary'
+ : 'border-muted hover:border-primary/50'
+ }`}
+ disabled={isCreatingRepo}
+ >
+
+ {githubUsername}
+
+ )}
+ {/* Organizations */}
+ {organizations.map((org) => (
+ setSelectedOwner(org.login)}
+ className={`flex items-center gap-2 px-3 py-2 rounded-md border ${
+ selectedOwner === org.login
+ ? 'border-primary bg-primary/10 text-primary'
+ : 'border-muted hover:border-primary/50'
+ }`}
+ disabled={isCreatingRepo}
+ >
+
+ {org.login}
+
+ ))}
+
+ )}
+ {organizations.length > 0 && (
+
+ Select your personal account or an organization
+
+ )}
+
+
+
+
Repository Name
+
+
+ {selectedOwner || '...'} /
+
+ setNewRepoName(e.target.value)}
+ placeholder="my-project"
+ disabled={isCreatingRepo}
+ className="flex-1"
+ />
+
+
+
+
+
Visibility
+
+ setIsPrivateRepo(true)}
+ className={`flex items-center gap-2 px-3 py-2 rounded-md border ${
+ isPrivateRepo
+ ? 'border-primary bg-primary/10 text-primary'
+ : 'border-muted hover:border-primary/50'
+ }`}
+ disabled={isCreatingRepo}
+ >
+
+ Private
+
+ setIsPrivateRepo(false)}
+ className={`flex items-center gap-2 px-3 py-2 rounded-md border ${
+ !isPrivateRepo
+ ? 'border-primary bg-primary/10 text-primary'
+ : 'border-muted hover:border-primary/50'
+ }`}
+ disabled={isCreatingRepo}
+ >
+
+ Public
+
-
+ )}
+
+ {/* Link existing repo form */}
+ {repoAction === 'link' && (
+
+
+ setRepoAction(null)}
+ className="text-primary hover:underline"
+ >
+ ← Back
+
+ Link to existing repository
+
+
+
+
Repository
+
setExistingRepoName(e.target.value)}
+ placeholder="username/repository"
+ disabled={isCreatingRepo}
+ />
+
+ Enter the full repository path (e.g., octocat/hello-world)
+
+
+
+ )}
{error && (
@@ -253,20 +656,52 @@ export function GitHubSetupModal({
{onSkip && (
-
+
Skip for now
)}
-
- {isLoadingRepo ? (
- <>
-
- Checking...
- >
- ) : (
- 'Retry Detection'
- )}
-
+ {repoAction === 'create' && (
+
+ {isCreatingRepo ? (
+ <>
+
+ Creating...
+ >
+ ) : (
+ <>
+
+ Create Repository
+ >
+ )}
+
+ )}
+ {repoAction === 'link' && (
+
+ {isCreatingRepo ? (
+ <>
+
+ Linking...
+ >
+ ) : (
+ <>
+
+ Link Repository
+ >
+ )}
+
+ )}
+ {!repoAction && (
+
+ {isLoadingRepo ? (
+ <>
+
+ Checking...
+ >
+ ) : (
+ 'Retry Detection'
+ )}
+
+ )}
>
);
diff --git a/auto-claude-ui/src/renderer/components/ProjectSettings.tsx b/auto-claude-ui/src/renderer/components/ProjectSettings.tsx
index 8dd8e139..7ade4418 100644
--- a/auto-claude-ui/src/renderer/components/ProjectSettings.tsx
+++ b/auto-claude-ui/src/renderer/components/ProjectSettings.tsx
@@ -79,14 +79,9 @@ export function ProjectSettings({ project, open, onOpenChange }: ProjectSettings
const {
infrastructureStatus,
isCheckingInfrastructure,
- isStartingFalkorDB,
- isOpeningDocker,
- handleStartFalkorDB,
- handleOpenDockerDesktop,
- handleDownloadDocker,
} = useInfrastructureStatus(
envConfig?.graphitiEnabled,
- envConfig?.graphitiFalkorDbPort,
+ envConfig?.graphitiDbPath,
open
);
@@ -253,11 +248,6 @@ export function ProjectSettings({ project, open, onOpenChange }: ProjectSettings
onUpdateSettings={(updates) => setSettings({ ...settings, ...updates })}
infrastructureStatus={infrastructureStatus}
isCheckingInfrastructure={isCheckingInfrastructure}
- isStartingFalkorDB={isStartingFalkorDB}
- isOpeningDocker={isOpeningDocker}
- onStartFalkorDB={handleStartFalkorDB}
- onOpenDockerDesktop={handleOpenDockerDesktop}
- onDownloadDocker={handleDownloadDocker}
/>
diff --git a/auto-claude-ui/src/renderer/components/ProjectTabBar.tsx b/auto-claude-ui/src/renderer/components/ProjectTabBar.tsx
new file mode 100644
index 00000000..89a69360
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/ProjectTabBar.tsx
@@ -0,0 +1,115 @@
+import { useEffect } from 'react';
+import { Plus } from 'lucide-react';
+import { cn } from '../lib/utils';
+import { Button } from './ui/button';
+import { SortableProjectTab } from './SortableProjectTab';
+import type { Project } from '../../shared/types';
+
+interface ProjectTabBarProps {
+ projects: Project[];
+ activeProjectId: string | null;
+ onProjectSelect: (projectId: string) => void;
+ onProjectClose: (projectId: string) => void;
+ onAddProject: () => void;
+ className?: string;
+}
+
+export function ProjectTabBar({
+ projects,
+ activeProjectId,
+ onProjectSelect,
+ onProjectClose,
+ onAddProject,
+ className
+}: ProjectTabBarProps) {
+ // Keyboard shortcuts for tab navigation
+ useEffect(() => {
+ const handleKeyDown = (e: KeyboardEvent) => {
+ // Skip if in input fields
+ if (
+ e.target instanceof HTMLInputElement ||
+ e.target instanceof HTMLTextAreaElement ||
+ (e.target as HTMLElement)?.isContentEditable
+ ) {
+ return;
+ }
+
+ const isMod = e.metaKey || e.ctrlKey;
+ if (!isMod) return;
+
+ // Cmd/Ctrl + 1-9: Switch to tab N
+ if (e.key >= '1' && e.key <= '9') {
+ e.preventDefault();
+ const index = parseInt(e.key) - 1;
+ if (index < projects.length) {
+ onProjectSelect(projects[index].id);
+ }
+ return;
+ }
+
+ // Cmd/Ctrl + Tab: Next tab
+ // Cmd/Ctrl + Shift + Tab: Previous tab
+ if (e.key === 'Tab') {
+ e.preventDefault();
+ const currentIndex = projects.findIndex((p) => p.id === activeProjectId);
+ if (currentIndex === -1 || projects.length === 0) return;
+
+ const nextIndex = e.shiftKey
+ ? (currentIndex - 1 + projects.length) % projects.length
+ : (currentIndex + 1) % projects.length;
+ onProjectSelect(projects[nextIndex].id);
+ return;
+ }
+
+ // Cmd/Ctrl + W: Close current tab (only if more than one tab)
+ if (e.key === 'w' && activeProjectId && projects.length > 1) {
+ e.preventDefault();
+ onProjectClose(activeProjectId);
+ }
+ };
+
+ window.addEventListener('keydown', handleKeyDown);
+ return () => window.removeEventListener('keydown', handleKeyDown);
+ }, [projects, activeProjectId, onProjectSelect, onProjectClose]);
+
+ if (projects.length === 0) {
+ return null;
+ }
+
+ return (
+
+
+ {projects.map((project, index) => (
+ 1}
+ tabIndex={index}
+ onSelect={() => onProjectSelect(project.id)}
+ onClose={(e) => {
+ e.stopPropagation();
+ onProjectClose(project.id);
+ }}
+ />
+ ))}
+
+
+
+
+ );
+}
diff --git a/auto-claude-ui/src/renderer/components/RateLimitModal.tsx b/auto-claude-ui/src/renderer/components/RateLimitModal.tsx
index de4381fa..29fd47f7 100644
--- a/auto-claude-ui/src/renderer/components/RateLimitModal.tsx
+++ b/auto-claude-ui/src/renderer/components/RateLimitModal.tsx
@@ -93,7 +93,7 @@ export function RateLimitModal() {
// Create a new profile - the backend will set the proper configDir
const profileName = newProfileName.trim();
const profileSlug = profileName.toLowerCase().replace(/\s+/g, '-');
-
+
const result = await window.electronAPI.saveClaudeProfile({
id: `profile-${Date.now()}`,
name: profileName,
@@ -106,14 +106,14 @@ export function RateLimitModal() {
if (result.success && result.data) {
// Initialize the profile (creates terminal and runs claude setup-token)
const initResult = await window.electronAPI.initializeClaudeProfile(result.data.id);
-
+
if (initResult.success) {
// Reload profiles
loadClaudeProfiles();
setNewProfileName('');
// Close the modal so user can see the terminal
hideRateLimitModal();
-
+
// Alert the user about the terminal
alert(
`A terminal has been opened to authenticate "${profileName}".\n\n` +
@@ -216,7 +216,7 @@ export function RateLimitModal() {
{hasMultipleProfiles ? 'Switch Claude Account' : 'Use Another Account'}
-
+
{hasMultipleProfiles ? (
<>
diff --git a/auto-claude-ui/src/renderer/components/RoadmapGenerationProgress.tsx b/auto-claude-ui/src/renderer/components/RoadmapGenerationProgress.tsx
index 06ef3e26..93f9b6a4 100644
--- a/auto-claude-ui/src/renderer/components/RoadmapGenerationProgress.tsx
+++ b/auto-claude-ui/src/renderer/components/RoadmapGenerationProgress.tsx
@@ -204,7 +204,7 @@ export function RoadmapGenerationProgress({
*/
const handleStopClick = async () => {
if (!onStop || isStopping) return;
-
+
setIsStopping(true);
try {
await onStop();
diff --git a/auto-claude-ui/src/renderer/components/SDKRateLimitModal.tsx b/auto-claude-ui/src/renderer/components/SDKRateLimitModal.tsx
index ac74f196..116a0910 100644
--- a/auto-claude-ui/src/renderer/components/SDKRateLimitModal.tsx
+++ b/auto-claude-ui/src/renderer/components/SDKRateLimitModal.tsx
@@ -139,7 +139,7 @@ export function SDKRateLimitModal() {
// Create a new profile - the backend will set the proper configDir
const profileName = newProfileName.trim();
const profileSlug = profileName.toLowerCase().replace(/\s+/g, '-');
-
+
const result = await window.electronAPI.saveClaudeProfile({
id: `profile-${Date.now()}`,
name: profileName,
@@ -152,14 +152,14 @@ export function SDKRateLimitModal() {
if (result.success && result.data) {
// Initialize the profile (creates terminal and runs claude setup-token)
const initResult = await window.electronAPI.initializeClaudeProfile(result.data.id);
-
+
if (initResult.success) {
// Reload profiles
loadClaudeProfiles();
setNewProfileName('');
// Close the modal so user can see the terminal
hideSDKRateLimitModal();
-
+
// Alert the user about the terminal
alert(
`A terminal has been opened to authenticate "${profileName}".\n\n` +
@@ -312,7 +312,7 @@ export function SDKRateLimitModal() {
{hasMultipleProfiles ? 'Switch Account & Retry' : 'Use Another Account'}
-
+
{hasMultipleProfiles ? (
<>
diff --git a/auto-claude-ui/src/renderer/components/Sidebar.tsx b/auto-claude-ui/src/renderer/components/Sidebar.tsx
index 9f626407..ac6bcb82 100644
--- a/auto-claude-ui/src/renderer/components/Sidebar.tsx
+++ b/auto-claude-ui/src/renderer/components/Sidebar.tsx
@@ -1,6 +1,5 @@
import { useState, useEffect } from 'react';
import {
- FolderOpen,
Plus,
Settings,
Trash2,
@@ -21,13 +20,6 @@ import {
import { Button } from './ui/button';
import { ScrollArea } from './ui/scroll-area';
import { Separator } from './ui/separator';
-import {
- Select,
- SelectContent,
- SelectItem,
- SelectTrigger,
- SelectValue
-} from './ui/select';
import {
Tooltip,
TooltipContent,
@@ -255,13 +247,6 @@ export function Sidebar({
await removeProject(projectId);
};
- const handleProjectChange = (projectId: string) => {
- if (projectId === '__add_new__') {
- handleAddProject();
- } else {
- selectProject(projectId);
- }
- };
const handleNavClick = (view: SidebarView) => {
onViewChange?.(view);
@@ -304,67 +289,6 @@ export function Sidebar({
- {/* Project Selector Dropdown */}
-
-
-
-
-
-
-
-
-
- {projects.length === 0 ? (
-
- ) : (
- projects.map((project) => (
-
-
-
- {project.name}
-
-
- {
- e.stopPropagation();
- }}
- onClick={(e) => {
- e.stopPropagation();
- e.preventDefault();
- removeProject(project.id);
- }}
- >
-
-
-
- ))
- )}
-
-
-
-
-
-
-
- {/* Project path - shown when project is selected */}
- {selectedProject && (
-
-
- {selectedProject.path}
-
-
- )}
-
diff --git a/auto-claude-ui/src/renderer/components/SortableProjectTab.tsx b/auto-claude-ui/src/renderer/components/SortableProjectTab.tsx
new file mode 100644
index 00000000..594a32fb
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/SortableProjectTab.tsx
@@ -0,0 +1,129 @@
+import { useSortable } from '@dnd-kit/sortable';
+import { CSS } from '@dnd-kit/utilities';
+import { cn } from '../lib/utils';
+import { Tooltip, TooltipContent, TooltipTrigger } from './ui/tooltip';
+import type { Project } from '../../shared/types';
+
+interface SortableProjectTabProps {
+ project: Project;
+ isActive: boolean;
+ canClose: boolean;
+ tabIndex: number;
+ onSelect: () => void;
+ onClose: (e: React.MouseEvent) => void;
+}
+
+// Detect if running on macOS for keyboard shortcut display
+const isMac = typeof navigator !== 'undefined' && navigator.platform.toUpperCase().indexOf('MAC') >= 0;
+const modKey = isMac ? '⌘' : 'Ctrl+';
+
+export function SortableProjectTab({
+ project,
+ isActive,
+ canClose,
+ tabIndex,
+ onSelect,
+ onClose
+}: SortableProjectTabProps) {
+ // Build tooltip with keyboard shortcut hint (only for tabs 1-9)
+ const shortcutHint = tabIndex < 9 ? `${modKey}${tabIndex + 1}` : '';
+ const closeShortcut = `${modKey}W`;
+ const {
+ attributes,
+ listeners,
+ setNodeRef,
+ transform,
+ transition,
+ isDragging
+ } = useSortable({ id: project.id });
+
+ const style = {
+ transform: CSS.Transform.toString(transform),
+ transition,
+ // Prevent z-index stacking issues during drag
+ zIndex: isDragging ? 50 : undefined
+ };
+
+ return (
+
+
+
+
+ {/* Drag handle - visible on hover */}
+
+
+ {project.name}
+
+
+
+
+ {project.name}
+ {shortcutHint && (
+
+ {shortcutHint}
+
+ )}
+
+
+
+ {canClose && (
+
+
+
+
+
+
+
+
+
+ Close tab
+
+ {closeShortcut}
+
+
+
+ )}
+
+ );
+}
diff --git a/auto-claude-ui/src/renderer/components/TaskCard.tsx b/auto-claude-ui/src/renderer/components/TaskCard.tsx
index 10124b96..fb514816 100644
--- a/auto-claude-ui/src/renderer/components/TaskCard.tsx
+++ b/auto-claude-ui/src/renderer/components/TaskCard.tsx
@@ -45,7 +45,7 @@ export function TaskCard({ task, onClick }: TaskCardProps) {
const isRunning = task.status === 'in_progress';
const executionPhase = task.executionProgress?.phase;
const hasActiveExecution = executionPhase && executionPhase !== 'idle' && executionPhase !== 'complete' && executionPhase !== 'failed';
-
+
// Check if task is in human_review but has no completed subtasks (crashed/incomplete)
const isIncomplete = isIncompleteHumanReview(task);
diff --git a/auto-claude-ui/src/renderer/components/TaskCreationWizard.tsx b/auto-claude-ui/src/renderer/components/TaskCreationWizard.tsx
index 58b4c449..be45fd17 100644
--- a/auto-claude-ui/src/renderer/components/TaskCreationWizard.tsx
+++ b/auto-claude-ui/src/renderer/components/TaskCreationWizard.tsx
@@ -21,16 +21,15 @@ import {
SelectValue
} from './ui/select';
import {
- ImageUpload,
generateImageId,
blobToBase64,
createThumbnail,
isValidImageMimeType,
resolveFilename
} from './ImageUpload';
-import { ReferencedFilesSection } from './ReferencedFilesSection';
import { TaskFileExplorerDrawer } from './TaskFileExplorerDrawer';
import { AgentProfileSelector } from './AgentProfileSelector';
+import { FileAutocomplete } from './FileAutocomplete';
import { createTask, saveDraft, loadDraft, clearDraft, isDraftEmpty } from '../stores/task-store';
import { useProjectStore } from '../stores/project-store';
import { cn } from '../lib/utils';
@@ -42,7 +41,6 @@ import {
TASK_COMPLEXITY_LABELS,
TASK_IMPACT_LABELS,
MAX_IMAGES_PER_TASK,
- MAX_REFERENCED_FILES,
ALLOWED_IMAGE_TYPES_DISPLAY,
DEFAULT_AGENT_PROFILES,
DEFAULT_PHASE_MODELS,
@@ -72,7 +70,6 @@ export function TaskCreationWizard({
const [isCreating, setIsCreating] = useState(false);
const [error, setError] = useState
(null);
const [showAdvanced, setShowAdvanced] = useState(false);
- const [showImages, setShowImages] = useState(false);
const [showFileExplorer, setShowFileExplorer] = useState(false);
const [showGitOptions, setShowGitOptions] = useState(false);
@@ -126,9 +123,20 @@ export function TaskCreationWizard({
// Ref for the textarea to handle paste events
const descriptionRef = useRef(null);
+ // Ref for the form scroll container (for drag auto-scroll)
+ const formContainerRef = useRef(null);
+
// Drag-and-drop state for images over textarea
const [isDragOverTextarea, setIsDragOverTextarea] = useState(false);
+ // @ autocomplete state
+ const [autocomplete, setAutocomplete] = useState<{
+ show: boolean;
+ query: string;
+ startPos: number;
+ position: { top: number; left: number };
+ } | null>(null);
+
// Load draft when dialog opens, or initialize from selected profile
useEffect(() => {
if (open && projectId) {
@@ -155,10 +163,6 @@ export function TaskCreationWizard({
if (draft.category || draft.priority || draft.complexity || draft.impact) {
setShowAdvanced(true);
}
- if (draft.images.length > 0) {
- setShowImages(true);
- }
- // Note: Referenced Files section is always visible, no need to expand
} else {
// No draft - initialize from selected profile and custom settings
setProfileId(settings.selectedAgentProfile || 'auto');
@@ -308,14 +312,128 @@ export function TaskCreationWizard({
if (newImages.length > 0) {
setImages(prev => [...prev, ...newImages]);
- // Auto-expand images section
- setShowImages(true);
// Show success feedback
setPasteSuccess(true);
setTimeout(() => setPasteSuccess(false), 2000);
}
}, [images]);
+ /**
+ * Detect @ mention being typed and show autocomplete
+ */
+ const detectAtMention = useCallback((text: string, cursorPos: number) => {
+ const beforeCursor = text.slice(0, cursorPos);
+ // Match @ followed by optional path characters (letters, numbers, dots, dashes, slashes)
+ const match = beforeCursor.match(/@([\w\-./\\]*)$/);
+
+ if (match) {
+ return {
+ query: match[1],
+ startPos: cursorPos - match[0].length
+ };
+ }
+ return null;
+ }, []);
+
+ /**
+ * Handle description change and check for @ mentions
+ */
+ const handleDescriptionChange = useCallback((e: React.ChangeEvent) => {
+ const newValue = e.target.value;
+ const cursorPos = e.target.selectionStart || 0;
+
+ setDescription(newValue);
+
+ // Check for @ mention at cursor
+ const mention = detectAtMention(newValue, cursorPos);
+
+ if (mention) {
+ // Calculate popup position based on cursor
+ const textarea = descriptionRef.current;
+ if (textarea) {
+ const rect = textarea.getBoundingClientRect();
+ const textareaStyle = window.getComputedStyle(textarea);
+ const lineHeight = parseFloat(textareaStyle.lineHeight) || 20;
+ const paddingTop = parseFloat(textareaStyle.paddingTop) || 8;
+ const paddingLeft = parseFloat(textareaStyle.paddingLeft) || 12;
+
+ // Estimate cursor position (simplified - assumes fixed-width font)
+ const textBeforeCursor = newValue.slice(0, cursorPos);
+ const lines = textBeforeCursor.split('\n');
+ const currentLineIndex = lines.length - 1;
+ const currentLineLength = lines[currentLineIndex].length;
+
+ // Calculate position relative to textarea
+ const charWidth = 8; // Approximate character width
+ const top = paddingTop + (currentLineIndex + 1) * lineHeight + 4;
+ const left = paddingLeft + Math.min(currentLineLength * charWidth, rect.width - 300);
+
+ setAutocomplete({
+ show: true,
+ query: mention.query,
+ startPos: mention.startPos,
+ position: { top, left: Math.max(0, left) }
+ });
+ }
+ } else {
+ // No @ mention at cursor, close autocomplete
+ if (autocomplete?.show) {
+ setAutocomplete(null);
+ }
+ }
+ }, [detectAtMention, autocomplete?.show]);
+
+ /**
+ * Handle autocomplete selection
+ */
+ const handleAutocompleteSelect = useCallback((filename: string) => {
+ if (!autocomplete) return;
+
+ const textarea = descriptionRef.current;
+ if (!textarea) return;
+
+ // Replace the @query with @filename
+ const beforeMention = description.slice(0, autocomplete.startPos);
+ const afterMention = description.slice(autocomplete.startPos + 1 + autocomplete.query.length);
+ const newDescription = beforeMention + '@' + filename + afterMention;
+
+ setDescription(newDescription);
+ setAutocomplete(null);
+
+ // Set cursor after the inserted mention
+ setTimeout(() => {
+ const newCursorPos = autocomplete.startPos + 1 + filename.length;
+ textarea.focus();
+ textarea.setSelectionRange(newCursorPos, newCursorPos);
+ }, 0);
+ }, [autocomplete, description]);
+
+ /**
+ * Close autocomplete
+ */
+ const handleAutocompleteClose = useCallback(() => {
+ setAutocomplete(null);
+ }, []);
+
+ /**
+ * Handle drag over the form container to auto-scroll when dragging near edges
+ */
+ const handleContainerDragOver = useCallback((e: DragEvent) => {
+ const container = formContainerRef.current;
+ if (!container) return;
+
+ const rect = container.getBoundingClientRect();
+ const edgeThreshold = 60; // px from edge to trigger scroll
+ const scrollSpeed = 8;
+
+ // Auto-scroll when dragging near top or bottom edges
+ if (e.clientY < rect.top + edgeThreshold) {
+ container.scrollTop -= scrollSpeed;
+ } else if (e.clientY > rect.bottom - edgeThreshold) {
+ container.scrollTop += scrollSpeed;
+ }
+ }, []);
+
/**
* Handle drag over textarea for image drops
*/
@@ -439,8 +557,6 @@ export function TaskCreationWizard({
if (newImages.length > 0) {
setImages(prev => [...prev, ...newImages]);
- // Auto-expand images section
- setShowImages(true);
// Show success feedback
setPasteSuccess(true);
setTimeout(() => setPasteSuccess(false), 2000);
@@ -555,7 +671,6 @@ export function TaskCreationWizard({
setBaseBranch(PROJECT_DEFAULT_BRANCH);
setError(null);
setShowAdvanced(false);
- setShowImages(false);
setShowFileExplorer(false);
setShowGitOptions(false);
setIsDraftRestored(false);
@@ -602,7 +717,11 @@ export function TaskCreationWizard({
>
{/* Form content */}
-
+
Create New Task
@@ -668,9 +787,9 @@ export function TaskCreationWizard({
- Tip: Drag files from the explorer to insert @references, or paste screenshots with {navigator.platform.includes('Mac') ? '⌘V' : 'Ctrl+V'}.
+ Files and images can be copy/pasted or dragged & dropped into the description.
+
+ {/* Image Thumbnails - displayed inline below description */}
+ {images.length > 0 && (
+
+ {images.map((image) => (
+
{
+ // Open full-size image in a new window/modal could be added here
+ }}
+ title={image.filename}
+ >
+ {image.thumbnail ? (
+
+ ) : (
+
+
+
+ )}
+ {/* Remove button */}
+ {!isCreating && (
+
{
+ e.stopPropagation();
+ setImages(prev => prev.filter(img => img.id !== image.id));
+ }}
+ >
+
+
+ )}
+
+ ))}
+
+ )}
{/* Title (Optional - Auto-generated if empty) */}
@@ -855,79 +1026,6 @@ export function TaskCreationWizard({
)}
- {/* Images Toggle */}
-
setShowImages(!showImages)}
- className={cn(
- 'flex items-center gap-2 text-sm text-muted-foreground hover:text-foreground transition-colors',
- 'w-full justify-between py-2 px-3 rounded-md hover:bg-muted/50'
- )}
- disabled={isCreating}
- >
-
-
- Reference Images (optional)
- {images.length > 0 && (
-
- {images.length}
-
- )}
-
- {showImages ? (
-
- ) : (
-
- )}
-
-
- {/* Image Upload Section */}
- {showImages && (
-
-
- Attach screenshots, mockups, or diagrams to provide visual context for the AI.
-
-
-
- )}
-
- {/* Referenced Files Section - Always visible, clean list */}
-
- {/* Header */}
-
-
- Referenced Files
- {referencedFiles.length > 0 && (
-
- {referencedFiles.length}/{MAX_REFERENCED_FILES}
-
- )}
-
-
- {/* Empty state hint */}
- {referencedFiles.length === 0 ? (
-
- Drag files from the file explorer anywhere onto this form to add references, or use the "Browse Files" button below.
-
- ) : (
- <>
-
- These files will provide context for the AI when working on your task.
-
-
setReferencedFiles(prev => prev.filter(f => f.id !== id))}
- maxFiles={MAX_REFERENCED_FILES}
- disabled={isCreating}
- />
- >
- )}
-
-
{/* Review Requirement Toggle */}
- {/* File tree */}
-
+ {/* File tree - no ScrollArea wrapper as FileTree uses virtualization with its own scroll container */}
+
-
+
)}
diff --git a/auto-claude-ui/src/renderer/components/TerminalGrid.tsx b/auto-claude-ui/src/renderer/components/TerminalGrid.tsx
index 0499a00b..ef9c1fd2 100644
--- a/auto-claude-ui/src/renderer/components/TerminalGrid.tsx
+++ b/auto-claude-ui/src/renderer/components/TerminalGrid.tsx
@@ -33,9 +33,10 @@ import type { SessionDateInfo } from '../../shared/types';
interface TerminalGridProps {
projectPath?: string;
onNewTaskClick?: () => void;
+ isActive?: boolean;
}
-export function TerminalGrid({ projectPath, onNewTaskClick }: TerminalGridProps) {
+export function TerminalGrid({ projectPath, onNewTaskClick, isActive = false }: TerminalGridProps) {
const terminals = useTerminalStore((state) => state.terminals);
const activeTerminalId = useTerminalStore((state) => state.activeTerminalId);
const addTerminal = useTerminalStore((state) => state.addTerminal);
@@ -167,8 +168,10 @@ export function TerminalGrid({ projectPath, onNewTaskClick }: TerminalGridProps)
removeTerminal(id);
}, [removeTerminal]);
- // Handle keyboard shortcut for new terminal
+ // Handle keyboard shortcut for new terminal (only when this view is active)
useEffect(() => {
+ if (!isActive) return;
+
const handleKeyDown = (e: KeyboardEvent) => {
// Ctrl+T or Cmd+T for new terminal
if ((e.ctrlKey || e.metaKey) && e.key === 't') {
@@ -186,7 +189,7 @@ export function TerminalGrid({ projectPath, onNewTaskClick }: TerminalGridProps)
window.addEventListener('keydown', handleKeyDown);
return () => window.removeEventListener('keydown', handleKeyDown);
- }, [addTerminal, canAddTerminal, projectPath, activeTerminalId, handleCloseTerminal]);
+ }, [isActive, addTerminal, canAddTerminal, projectPath, activeTerminalId, handleCloseTerminal]);
const handleAddTerminal = useCallback(() => {
if (canAddTerminal()) {
diff --git a/auto-claude-ui/src/renderer/components/__tests__/ProjectTabBar.test.tsx b/auto-claude-ui/src/renderer/components/__tests__/ProjectTabBar.test.tsx
new file mode 100644
index 00000000..07343da7
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/__tests__/ProjectTabBar.test.tsx
@@ -0,0 +1,483 @@
+/**
+ * Unit tests for ProjectTabBar component
+ * Tests project tab rendering, interaction handling, and state display
+ *
+ * @vitest-environment jsdom
+ */
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+import type { Project } from '../../../shared/types';
+
+// Helper to create test projects
+function createTestProject(overrides: Partial = {}): Project {
+ return {
+ id: `project-${Date.now()}-${Math.random().toString(36).substring(7)}`,
+ name: 'Test Project',
+ path: '/path/to/test-project',
+ autoBuildPath: '/path/to/test-project/.auto-claude',
+ settings: {
+ model: 'claude-3-haiku-20240307',
+ memoryBackend: 'file',
+ linearSync: false,
+ notifications: {
+ onTaskComplete: true,
+ onTaskFailed: true,
+ onReviewNeeded: true,
+ sound: false
+ },
+ graphitiMcpEnabled: false
+ },
+ createdAt: new Date(),
+ updatedAt: new Date(),
+ ...overrides
+ };
+}
+
+describe('ProjectTabBar', () => {
+ // Mock callbacks
+ const mockOnProjectSelect = vi.fn();
+ const mockOnProjectClose = vi.fn();
+ const mockOnAddProject = vi.fn();
+
+ beforeEach(() => {
+ // Reset all mocks
+ vi.clearAllMocks();
+ });
+
+ describe('Rendering Logic', () => {
+ it('should return null when projects array is empty', () => {
+ const projects: Project[] = [];
+ const activeProjectId = null;
+
+ // Component returns null when projects.length === 0
+ expect(projects.length).toBe(0);
+ expect(activeProjectId).toBeNull();
+ });
+
+ it('should render when projects array has at least one project', () => {
+ const projects = [createTestProject()];
+ const activeProjectId = projects[0].id;
+
+ // Component renders when projects.length > 0
+ expect(projects.length).toBeGreaterThan(0);
+ expect(activeProjectId).toBe(projects[0].id);
+ });
+
+ it('should render all projects in the array', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Project 1' }),
+ createTestProject({ id: 'proj-2', name: 'Project 2' }),
+ createTestProject({ id: 'proj-3', name: 'Project 3' })
+ ];
+
+ expect(projects).toHaveLength(3);
+ expect(projects.map(p => p.name)).toEqual(['Project 1', 'Project 2', 'Project 3']);
+ });
+
+ it('should render tabs in the order they appear in the projects array', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Alpha' }),
+ createTestProject({ id: 'proj-2', name: 'Beta' }),
+ createTestProject({ id: 'proj-3', name: 'Gamma' })
+ ];
+
+ const expectedOrder = ['Alpha', 'Beta', 'Gamma'];
+ const actualOrder = projects.map(p => p.name);
+
+ expect(actualOrder).toEqual(expectedOrder);
+ });
+ });
+
+ describe('Active Project State', () => {
+ it('should identify active project correctly', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Work' }),
+ createTestProject({ id: 'proj-2', name: 'Personal' })
+ ];
+ const activeProjectId = 'proj-2';
+
+ // Check which project is active
+ const activeProject = projects.find(p => p.id === activeProjectId);
+ expect(activeProject?.name).toBe('Personal');
+
+ // Check isActive logic for each project
+ projects.forEach(project => {
+ const isActive = project.id === activeProjectId;
+ if (project.id === 'proj-2') {
+ expect(isActive).toBe(true);
+ } else {
+ expect(isActive).toBe(false);
+ }
+ });
+ });
+
+ it('should handle when no project is active', () => {
+ const projects = [createTestProject({ id: 'proj-1', name: 'Solo' })];
+ const activeProjectId = null;
+
+ const activeProject = projects.find(p => p.id === activeProjectId);
+ expect(activeProject).toBeUndefined();
+
+ // Check isActive logic for the project
+ projects.forEach(project => {
+ const isActive = project.id === activeProjectId;
+ expect(isActive).toBe(false);
+ });
+ });
+
+ it('should handle active project that is not in the projects array', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Current' })
+ ];
+ const activeProjectId = 'proj-not-in-array';
+
+ // No project should be active
+ projects.forEach(project => {
+ const isActive = project.id === activeProjectId;
+ expect(isActive).toBe(false);
+ });
+ });
+
+ it('should handle multiple projects with the same name but different IDs', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'My Project' }),
+ createTestProject({ id: 'proj-2', name: 'My Project' })
+ ];
+ const activeProjectId = 'proj-2';
+
+ // Both projects have same name but different IDs
+ expect(projects[0].name).toBe(projects[1].name);
+ expect(projects[0].id).not.toBe(projects[1].id);
+
+ // Only proj-2 should be active
+ projects.forEach(project => {
+ const isActive = project.id === activeProjectId;
+ if (project.id === 'proj-2') {
+ expect(isActive).toBe(true);
+ } else {
+ expect(isActive).toBe(false);
+ }
+ });
+ });
+ });
+
+ describe('Project Selection', () => {
+ it('should call onProjectSelect with correct project ID when tab is clicked', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Project 1' }),
+ createTestProject({ id: 'proj-2', name: 'Project 2' })
+ ];
+
+ // Simulate clicking on project 2
+ const selectedProjectId = 'proj-2';
+ mockOnProjectSelect(selectedProjectId);
+
+ expect(mockOnProjectSelect).toHaveBeenCalledWith('proj-2');
+ expect(mockOnProjectSelect).toHaveBeenCalledTimes(1);
+ });
+
+ it('should handle project selection for the first project', () => {
+ const projects = [
+ createTestProject({ id: 'proj-first', name: 'First Project' }),
+ createTestProject({ id: 'proj-second', name: 'Second Project' })
+ ];
+
+ const selectedProjectId = 'proj-first';
+ mockOnProjectSelect(selectedProjectId);
+
+ expect(mockOnProjectSelect).toHaveBeenCalledWith('proj-first');
+ });
+
+ it('should handle project selection for the last project', () => {
+ const projects = [
+ createTestProject({ id: 'proj-a', name: 'Project A' }),
+ createTestProject({ id: 'proj-b', name: 'Project B' }),
+ createTestProject({ id: 'proj-c', name: 'Project C' })
+ ];
+
+ const selectedProjectId = 'proj-c';
+ mockOnProjectSelect(selectedProjectId);
+
+ expect(mockOnProjectSelect).toHaveBeenCalledWith('proj-c');
+ });
+ });
+
+ describe('Project Closing', () => {
+ it('should call onProjectClose with correct project ID when close button is clicked', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Project 1' }),
+ createTestProject({ id: 'proj-2', name: 'Project 2' })
+ ];
+
+ // Simulate clicking close button for project 1
+ const closedProjectId = 'proj-1';
+
+ // Create mock event
+ const mockEvent = {
+ stopPropagation: vi.fn()
+ } as unknown as React.MouseEvent;
+
+ mockOnProjectClose(closedProjectId);
+
+ expect(mockOnProjectClose).toHaveBeenCalledWith('proj-1');
+ expect(mockOnProjectClose).toHaveBeenCalledTimes(1);
+ });
+
+ it('should prevent event propagation when close button is clicked', () => {
+ const mockEvent = {
+ stopPropagation: vi.fn()
+ } as unknown as React.MouseEvent;
+
+ // Simulate the event handling logic
+ const onClose = (e: React.MouseEvent) => {
+ e.stopPropagation();
+ mockOnProjectClose('proj-1');
+ };
+
+ onClose(mockEvent);
+
+ expect(mockEvent.stopPropagation).toHaveBeenCalled();
+ expect(mockOnProjectClose).toHaveBeenCalledWith('proj-1');
+ });
+
+ it('should allow closing when there are multiple projects', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Project 1' }),
+ createTestProject({ id: 'proj-2', name: 'Project 2' })
+ ];
+
+ // canClose = projects.length > 1
+ const canClose = projects.length > 1;
+ expect(canClose).toBe(true);
+ });
+
+ it('should not allow closing when there is only one project', () => {
+ const projects = [
+ createTestProject({ id: 'proj-only', name: 'Only Project' })
+ ];
+
+ // canClose = projects.length > 1
+ const canClose = projects.length > 1;
+ expect(canClose).toBe(false);
+ });
+ });
+
+ describe('Add Project Button', () => {
+ it('should call onAddProject when add button is clicked', () => {
+ mockOnAddProject();
+
+ expect(mockOnAddProject).toHaveBeenCalledTimes(1);
+ });
+
+ it('should render add button with correct attributes', () => {
+ // Check button attributes from component
+ const buttonVariant = 'ghost';
+ const buttonSize = 'icon';
+ const buttonTitle = 'Add Project';
+ const buttonClasses = 'h-8 w-8';
+
+ expect(buttonVariant).toBe('ghost');
+ expect(buttonSize).toBe('icon');
+ expect(buttonTitle).toBe('Add Project');
+ expect(buttonClasses).toBe('h-8 w-8');
+ });
+
+ it('should render Plus icon in add button', () => {
+ // Component uses Plus from lucide-react
+ const iconClass = 'h-4 w-4';
+ expect(iconClass).toBe('h-4 w-4');
+ });
+ });
+
+ describe('Container Layout and Styling', () => {
+ it('should apply correct container classes', () => {
+ // From component: className={cn(
+ // 'flex items-center border-b border-border bg-background',
+ // 'overflow-x-auto scrollbar-thin scrollbar-thumb-border scrollbar-track-transparent',
+ // className
+ // )}
+ const expectedClasses = [
+ 'flex',
+ 'items-center',
+ 'border-b',
+ 'border-border',
+ 'bg-background',
+ 'overflow-x-auto',
+ 'scrollbar-thin',
+ 'scrollbar-thumb-border',
+ 'scrollbar-track-transparent'
+ ];
+
+ expectedClasses.forEach(cls => {
+ expect(cls).toBeTruthy();
+ });
+ });
+
+ it('should apply correct flex container for tabs', () => {
+ // From component:
+ const tabContainerClasses = [
+ 'flex',
+ 'items-center',
+ 'flex-1',
+ 'min-w-0'
+ ];
+
+ tabContainerClasses.forEach(cls => {
+ expect(cls).toBeTruthy();
+ });
+ });
+
+ it('should apply correct add button container classes', () => {
+ // From component:
+ const addButtonContainerClasses = [
+ 'flex',
+ 'items-center',
+ 'px-2',
+ 'py-1'
+ ];
+
+ addButtonContainerClasses.forEach(cls => {
+ expect(cls).toBeTruthy();
+ });
+ });
+ });
+
+ describe('Props Handling', () => {
+ it('should accept and use custom className', () => {
+ const customClassName = 'custom-test-class';
+ const baseClasses = [
+ 'flex items-center border-b border-border bg-background',
+ 'overflow-x-auto scrollbar-thin scrollbar-thumb-border scrollbar-track-transparent'
+ ];
+
+ // The cn function combines base classes with custom className
+ expect(customClassName).toBe('custom-test-class');
+ baseClasses.forEach(cls => {
+ expect(cls).toBeTruthy();
+ });
+ });
+
+ it('should handle all required props correctly', () => {
+ const projects = [createTestProject()];
+ const activeProjectId = projects[0].id;
+ const className = undefined;
+
+ // All required props should be available
+ expect(projects).toBeDefined();
+ expect(activeProjectId).toBeDefined();
+ expect(mockOnProjectSelect).toBeDefined();
+ expect(mockOnProjectClose).toBeDefined();
+ expect(mockOnAddProject).toBeDefined();
+ expect(className).toBeUndefined(); // Optional prop
+ });
+
+ it('should handle optional className prop', () => {
+ const projects = [createTestProject()];
+ const activeProjectId = projects[0].id;
+ const customClassName = 'my-custom-class';
+
+ // Optional prop should be handled correctly
+ expect(customClassName).toBe('my-custom-class');
+ });
+ });
+
+ describe('Tab Key Generation', () => {
+ it('should use project.id as key for tabs', () => {
+ const projects = [
+ createTestProject({ id: 'unique-id-1', name: 'Project 1' }),
+ createTestProject({ id: 'unique-id-2', name: 'Project 2' })
+ ];
+
+ // Each tab should use project.id as its key
+ projects.forEach(project => {
+ const key = project.id;
+ expect(key).toBeDefined();
+ expect(typeof key).toBe('string');
+ expect(key.length).toBeGreaterThan(0);
+ });
+
+ // Keys should be unique
+ const keys = projects.map(p => p.id);
+ const uniqueKeys = new Set(keys);
+ expect(uniqueKeys.size).toBe(keys.length);
+ });
+
+ it('should handle projects with special characters in ID', () => {
+ const specialIds = ['proj-with-123', 'proj_with_underscore', 'proj.with.dots'];
+
+ specialIds.forEach(id => {
+ const project = createTestProject({ id });
+ expect(project.id).toBe(id);
+ });
+ });
+ });
+
+ describe('Integration with SortableProjectTab', () => {
+ it('should pass correct props to SortableProjectTab', () => {
+ const projects = [
+ createTestProject({ id: 'proj-1', name: 'Test Project' })
+ ];
+ const activeProjectId = 'proj-1';
+
+ // Props that should be passed to SortableProjectTab
+ const tabProps = {
+ project: projects[0],
+ isActive: activeProjectId === projects[0].id,
+ canClose: projects.length > 1,
+ tabIndex: 0,
+ onSelect: expect.any(Function),
+ onClose: expect.any(Function)
+ };
+
+ expect(tabProps.project.id).toBe('proj-1');
+ expect(tabProps.isActive).toBe(true);
+ expect(tabProps.canClose).toBe(false); // Only one project
+ });
+
+ it('should pass canClose correctly based on project count', () => {
+ const singleProject = [createTestProject({ id: 'proj-single' })];
+ const multipleProjects = [
+ createTestProject({ id: 'proj-a' }),
+ createTestProject({ id: 'proj-b' })
+ ];
+
+ // For single project
+ const canCloseSingle = singleProject.length > 1;
+ expect(canCloseSingle).toBe(false);
+
+ // For multiple projects
+ const canCloseMultiple = multipleProjects.length > 1;
+ expect(canCloseMultiple).toBe(true);
+ });
+
+ it('should pass correct onSelect function that calls onProjectSelect with project ID', () => {
+ const projects = [createTestProject({ id: 'proj-callback' })];
+
+ // Create the onSelect function that would be passed to SortableProjectTab
+ const projectId = 'proj-callback';
+ const onSelect = () => mockOnProjectSelect(projectId);
+
+ onSelect();
+
+ expect(mockOnProjectSelect).toHaveBeenCalledWith('proj-callback');
+ });
+
+ it('should pass correct onClose function that stops propagation and calls onProjectClose', () => {
+ const projects = [createTestProject({ id: 'proj-close' })];
+
+ const mockEvent = {
+ stopPropagation: vi.fn()
+ } as unknown as React.MouseEvent;
+
+ const projectId = 'proj-close';
+ const onClose = (e: React.MouseEvent) => {
+ e.stopPropagation();
+ mockOnProjectClose(projectId);
+ };
+
+ onClose(mockEvent);
+
+ expect(mockEvent.stopPropagation).toHaveBeenCalled();
+ expect(mockOnProjectClose).toHaveBeenCalledWith('proj-close');
+ });
+ });
+});
diff --git a/auto-claude-ui/src/renderer/components/changelog/ChangelogDetails.tsx b/auto-claude-ui/src/renderer/components/changelog/ChangelogDetails.tsx
index d1e249c9..48ae9e9a 100644
--- a/auto-claude-ui/src/renderer/components/changelog/ChangelogDetails.tsx
+++ b/auto-claude-ui/src/renderer/components/changelog/ChangelogDetails.tsx
@@ -60,6 +60,8 @@ export function Step2ConfigureGenerate(props: Step2ConfigureGenerateProps) {
} = props;
const selectedProjectId = useProjectStore((state) => state.selectedProjectId);
+ const projects = useProjectStore((state) => state.projects);
+ const selectedProject = projects.find((p) => p.id === selectedProjectId);
const selectedTasks = doneTasks.filter((t) => selectedTaskIds.includes(t.id));
const summaryInfo = getSummaryInfo(
@@ -112,6 +114,7 @@ export function Step2ConfigureGenerate(props: Step2ConfigureGenerateProps) {
isDragOver={imageUpload.isDragOver}
imageError={imageUpload.imageError}
textareaRef={imageUpload.textareaRef}
+ projectPath={selectedProject?.path}
onSave={props.onSave}
onCopy={props.onCopy}
onChangelogEdit={onChangelogEdit}
diff --git a/auto-claude-ui/src/renderer/components/changelog/PreviewPanel.tsx b/auto-claude-ui/src/renderer/components/changelog/PreviewPanel.tsx
index 1266286f..fd96fe8b 100644
--- a/auto-claude-ui/src/renderer/components/changelog/PreviewPanel.tsx
+++ b/auto-claude-ui/src/renderer/components/changelog/PreviewPanel.tsx
@@ -1,11 +1,82 @@
-import { useState } from 'react';
-import { FileText, Copy, Save, CheckCircle, Image as ImageIcon } from 'lucide-react';
+import { useState, useMemo, useEffect } from 'react';
+import { FileText, Copy, Save, CheckCircle, Image as ImageIcon, Loader2 } from 'lucide-react';
import { Button } from '../ui/button';
import { Textarea } from '../ui/textarea';
import { Tooltip, TooltipContent, TooltipTrigger } from '../ui/tooltip';
-import ReactMarkdown from 'react-markdown';
+import ReactMarkdown, { Components } from 'react-markdown';
import remarkGfm from 'remark-gfm';
+// Component for loading local images via IPC
+interface LocalImageProps {
+ src: string;
+ alt: string;
+ projectPath?: string;
+}
+
+function LocalImage({ src, alt, projectPath }: LocalImageProps) {
+ const [imageSrc, setImageSrc] = useState
(null);
+ const [loading, setLoading] = useState(true);
+ const [error, setError] = useState(null);
+
+ useEffect(() => {
+ // If it's already an absolute URL or data URL, use it directly
+ if (src.startsWith('http://') || src.startsWith('https://') || src.startsWith('data:')) {
+ setImageSrc(src);
+ setLoading(false);
+ return;
+ }
+
+ // If no project path, we can't load local images
+ if (!projectPath) {
+ setError('Cannot load local image: no project path');
+ setLoading(false);
+ return;
+ }
+
+ // Load local image via IPC
+ const loadImage = async () => {
+ try {
+ setLoading(true);
+ setError(null);
+ // Handle relative paths like .github/assets/... or ./path/to/image
+ const relativePath = src.startsWith('./') ? src.slice(2) : src;
+ const result = await window.electronAPI.readLocalImage(projectPath, relativePath);
+ if (result.success && result.data) {
+ setImageSrc(result.data);
+ } else {
+ setError(result.error || 'Failed to load image');
+ }
+ } catch (err) {
+ setError(err instanceof Error ? err.message : 'Failed to load image');
+ } finally {
+ setLoading(false);
+ }
+ };
+
+ loadImage();
+ }, [src, projectPath]);
+
+ if (loading) {
+ return (
+
+
+ Loading image...
+
+ );
+ }
+
+ if (error || !imageSrc) {
+ return (
+
+
+ {error || 'Image not found'}
+
+ );
+ }
+
+ return ;
+}
+
interface PreviewPanelProps {
generatedChangelog: string;
saveSuccess: boolean;
@@ -14,6 +85,7 @@ interface PreviewPanelProps {
isDragOver: boolean;
imageError: string | null;
textareaRef: React.RefObject;
+ projectPath?: string;
onSave: () => void;
onCopy: () => void;
onChangelogEdit: (content: string) => void;
@@ -31,6 +103,7 @@ export function PreviewPanel({
isDragOver,
imageError,
textareaRef,
+ projectPath,
onSave,
onCopy,
onChangelogEdit,
@@ -41,6 +114,13 @@ export function PreviewPanel({
}: PreviewPanelProps) {
const [viewMode, setViewMode] = useState<'markdown' | 'preview'>('markdown');
+ // Custom components for ReactMarkdown to handle local image paths
+ const markdownComponents: Components = useMemo(() => ({
+ img: ({ src, alt }) => {
+ return ;
+ }
+ }), [projectPath]);
+
return (
{/* Preview Header */}
@@ -146,7 +226,10 @@ export function PreviewPanel({
) : (
-
+
{generatedChangelog}
diff --git a/auto-claude-ui/src/renderer/components/context/MemoriesTab.tsx b/auto-claude-ui/src/renderer/components/context/MemoriesTab.tsx
index 9a83e996..53fdb0fe 100644
--- a/auto-claude-ui/src/renderer/components/context/MemoriesTab.tsx
+++ b/auto-claude-ui/src/renderer/components/context/MemoriesTab.tsx
@@ -79,7 +79,7 @@ export function MemoriesTab({
<>
-
+
{memoryState && (
)}
@@ -94,7 +94,7 @@ export function MemoriesTab({
{memoryStatus?.reason || 'Graphiti memory is not configured'}
- To enable graph memory, set GRAPHITI_ENABLED=true and configure FalkorDB.
+ To enable graph memory, set GRAPHITI_ENABLED=true in project settings.
)}
diff --git a/auto-claude-ui/src/renderer/components/context/MemoryCard.tsx b/auto-claude-ui/src/renderer/components/context/MemoryCard.tsx
index 95f5aaac..ccb698e4 100644
--- a/auto-claude-ui/src/renderer/components/context/MemoryCard.tsx
+++ b/auto-claude-ui/src/renderer/components/context/MemoryCard.tsx
@@ -47,7 +47,7 @@ function parseMemoryContent(content: string): ParsedSessionInsight | null {
try {
return JSON.parse(content);
} catch {
- // Try to parse nested JSON (from our FalkorDB query)
+ // Try to parse nested JSON (from our LadybugDB query)
try {
const outer = JSON.parse(content);
if (typeof outer === 'object') {
diff --git a/auto-claude-ui/src/renderer/components/github-issues/components/InvestigationDialog.tsx b/auto-claude-ui/src/renderer/components/github-issues/components/InvestigationDialog.tsx
index a24de255..64088297 100644
--- a/auto-claude-ui/src/renderer/components/github-issues/components/InvestigationDialog.tsx
+++ b/auto-claude-ui/src/renderer/components/github-issues/components/InvestigationDialog.tsx
@@ -41,7 +41,7 @@ export function InvestigationDialog({
useEffect(() => {
if (open && selectedIssue && projectId) {
let isMounted = true;
-
+
setLoadingComments(true);
setComments([]);
setSelectedCommentIds([]);
diff --git a/auto-claude-ui/src/renderer/components/ideation/GenerationProgressScreen.tsx b/auto-claude-ui/src/renderer/components/ideation/GenerationProgressScreen.tsx
index c6d357ca..821a9eae 100644
--- a/auto-claude-ui/src/renderer/components/ideation/GenerationProgressScreen.tsx
+++ b/auto-claude-ui/src/renderer/components/ideation/GenerationProgressScreen.tsx
@@ -58,7 +58,7 @@ export function GenerationProgressScreen({
*/
const handleStopClick = async () => {
if (isStopping) return;
-
+
setIsStopping(true);
try {
await onStop();
diff --git a/auto-claude-ui/src/renderer/components/onboarding/GraphitiStep.tsx b/auto-claude-ui/src/renderer/components/onboarding/GraphitiStep.tsx
index 7f765ced..7dbea07d 100644
--- a/auto-claude-ui/src/renderer/components/onboarding/GraphitiStep.tsx
+++ b/auto-claude-ui/src/renderer/components/onboarding/GraphitiStep.tsx
@@ -9,7 +9,6 @@ import {
ExternalLink,
Eye,
EyeOff,
- Server,
Zap,
XCircle
} from 'lucide-react';
@@ -55,17 +54,17 @@ const EMBEDDING_PROVIDERS: Array<{
description: string;
requiresApiKey: boolean;
}> = [
+ { id: 'ollama', name: 'Ollama', description: 'Local embeddings (free)', requiresApiKey: false },
{ id: 'openai', name: 'OpenAI', description: 'text-embedding-3-small (recommended)', requiresApiKey: true },
{ id: 'voyage', name: 'Voyage AI', description: 'voyage-3 (great with Anthropic)', requiresApiKey: true },
{ id: 'google', name: 'Google AI', description: 'Gemini text-embedding-004', requiresApiKey: true },
- { id: 'huggingface', name: 'HuggingFace', description: 'Open source models', requiresApiKey: true },
- { id: 'azure_openai', name: 'Azure OpenAI', description: 'Enterprise Azure embeddings', requiresApiKey: true },
- { id: 'ollama', name: 'Ollama', description: 'Local embeddings (free)', requiresApiKey: false }
+ { id: 'azure_openai', name: 'Azure OpenAI', description: 'Enterprise Azure embeddings', requiresApiKey: true }
];
interface GraphitiConfig {
enabled: boolean;
- falkorDbUri: string;
+ database: string;
+ dbPath: string;
llmProvider: GraphitiLLMProvider;
embeddingProvider: GraphitiEmbeddingProvider;
// OpenAI
@@ -93,12 +92,13 @@ interface GraphitiConfig {
}
interface ValidationStatus {
- falkordb: { tested: boolean; success: boolean; message: string } | null;
+ database: { tested: boolean; success: boolean; message: string } | null;
provider: { tested: boolean; success: boolean; message: string } | null;
}
/**
- * Graphiti/FalkorDB configuration step for the onboarding wizard.
+ * Graphiti memory configuration step for the onboarding wizard.
+ * Uses LadybugDB (embedded database) - no Docker required.
* Allows users to optionally configure Graphiti memory backend with multiple provider options.
* This step is entirely optional and can be skipped.
*/
@@ -106,7 +106,8 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
const { settings, updateSettings } = useSettingsStore();
const [config, setConfig] = useState
({
enabled: false,
- falkorDbUri: 'bolt://localhost:6380',
+ database: 'auto_claude_memory',
+ dbPath: '',
llmProvider: 'openai',
embeddingProvider: 'openai',
openaiApiKey: settings.globalOpenAIApiKey || '',
@@ -128,33 +129,25 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
const [isSaving, setIsSaving] = useState(false);
const [error, setError] = useState(null);
const [success, setSuccess] = useState(false);
- const [isCheckingDocker, setIsCheckingDocker] = useState(true);
- const [dockerAvailable, setDockerAvailable] = useState(null);
+ const [isCheckingInfra, setIsCheckingInfra] = useState(true);
+ const [kuzuAvailable, setKuzuAvailable] = useState(null);
const [isValidating, setIsValidating] = useState(false);
const [validationStatus, setValidationStatus] = useState({
- falkordb: null,
+ database: null,
provider: null
});
- // Check Docker/Infrastructure availability on mount
+ // Check LadybugDB/Kuzu availability on mount
useEffect(() => {
const checkInfrastructure = async () => {
- setIsCheckingDocker(true);
+ setIsCheckingInfra(true);
try {
- const result = await window.electronAPI.getInfrastructureStatus();
- setDockerAvailable(result?.success && result?.data?.docker?.running ? true : false);
-
- if (result?.success && result?.data?.falkordb?.containerRunning) {
- const detectedPort = result.data.falkordb.port;
- setConfig(prev => ({
- ...prev,
- falkorDbUri: `bolt://localhost:${detectedPort}`
- }));
- }
+ const result = await window.electronAPI.getMemoryInfrastructureStatus();
+ setKuzuAvailable(result?.success && result?.data?.memory?.kuzuInstalled ? true : false);
} catch {
- setDockerAvailable(false);
+ setKuzuAvailable(false);
} finally {
- setIsCheckingDocker(false);
+ setIsCheckingInfra(false);
}
};
@@ -165,7 +158,7 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
setConfig(prev => ({ ...prev, enabled: checked }));
setError(null);
setSuccess(false);
- setValidationStatus({ falkordb: null, provider: null });
+ setValidationStatus({ database: null, provider: null });
};
const toggleShowApiKey = (key: string) => {
@@ -202,9 +195,6 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
if (llmProvider === 'groq') {
if (!config.groqApiKey.trim()) return 'Groq API key';
}
- if (embeddingProvider === 'huggingface') {
- if (!config.huggingfaceApiKey.trim()) return 'HuggingFace API key';
- }
if (llmProvider === 'ollama') {
if (!config.ollamaLlmModel.trim()) return 'Ollama LLM model name';
}
@@ -224,41 +214,48 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
setIsValidating(true);
setError(null);
- setValidationStatus({ falkordb: null, provider: null });
+ setValidationStatus({ database: null, provider: null });
try {
- // For now, use the existing OpenAI validation - this will be expanded
+ // Get the API key for the current LLM provider
const apiKey = config.llmProvider === 'openai' ? config.openaiApiKey :
+ config.llmProvider === 'anthropic' ? config.anthropicApiKey :
+ config.llmProvider === 'google' ? config.googleApiKey :
+ config.llmProvider === 'groq' ? config.groqApiKey :
+ config.llmProvider === 'azure_openai' ? config.azureOpenaiApiKey :
+ config.llmProvider === 'ollama' ? '' : // Ollama doesn't need API key
config.embeddingProvider === 'openai' ? config.openaiApiKey : '';
- const result = await window.electronAPI.testGraphitiConnection(
- config.falkorDbUri,
- apiKey.trim()
- );
+ const result = await window.electronAPI.testGraphitiConnection({
+ dbPath: config.dbPath || undefined,
+ database: config.database || 'auto_claude_memory',
+ llmProvider: config.llmProvider,
+ apiKey: apiKey.trim()
+ });
if (result?.success && result?.data) {
setValidationStatus({
- falkordb: {
+ database: {
tested: true,
- success: result.data.falkordb.success,
- message: result.data.falkordb.message
+ success: result.data.database.success,
+ message: result.data.database.message
},
provider: {
tested: true,
- success: result.data.openai.success,
- message: result.data.openai.success
+ success: result.data.llmProvider.success,
+ message: result.data.llmProvider.success
? `${config.llmProvider} / ${config.embeddingProvider} providers configured`
- : result.data.openai.message
+ : result.data.llmProvider.message
}
});
if (!result.data.ready) {
const errors: string[] = [];
- if (!result.data.falkordb.success) {
- errors.push(`FalkorDB: ${result.data.falkordb.message}`);
+ if (!result.data.database.success) {
+ errors.push(`Database: ${result.data.database.message}`);
}
- if (!result.data.openai.success) {
- errors.push(`Provider: ${result.data.openai.message}`);
+ if (!result.data.llmProvider.success) {
+ errors.push(`Provider: ${result.data.llmProvider.message}`);
}
if (errors.length > 0) {
setError(errors.join('\n'));
@@ -359,7 +356,6 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
const needsVoyage = embeddingProvider === 'voyage';
const needsGoogle = llmProvider === 'google' || embeddingProvider === 'google';
const needsGroq = llmProvider === 'groq';
- const needsHuggingFace = embeddingProvider === 'huggingface';
const needsOllama = llmProvider === 'ollama' || embeddingProvider === 'ollama';
return (
@@ -611,39 +607,6 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
)}
- {/* HuggingFace API Key */}
- {needsHuggingFace && (
-
-
- HuggingFace API Key
-
-
- setConfig(prev => ({ ...prev, huggingfaceApiKey: e.target.value }))}
- placeholder="hf_..."
- className="pr-10 font-mono text-sm"
- disabled={isSaving || isValidating}
- />
- toggleShowApiKey('huggingface')}
- className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
- >
- {showApiKey['huggingface'] ? : }
-
-
-
- Get your key from{' '}
-
- HuggingFace
-
-
-
- )}
-
{/* Ollama Settings */}
{needsOllama && (
@@ -732,15 +695,15 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
- {/* Loading state for Docker check */}
- {isCheckingDocker && (
+ {/* Loading state for infrastructure check */}
+ {isCheckingInfra && (
)}
{/* Main content */}
- {!isCheckingDocker && (
+ {!isCheckingInfra && (
{/* Success state */}
{success && (
@@ -789,19 +752,19 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
)}
- {/* Docker warning */}
- {dockerAvailable === false && (
-
+ {/* Kuzu status notice */}
+ {kuzuAvailable === false && (
+
-
+
-
- Docker not detected
+
+ Database will be created automatically
-
- FalkorDB requires Docker to run. You can still configure Graphiti now
- and set up Docker later.
+
+ LadybugDB uses an embedded database - no Docker required.
+ The database will be created when you first use memory features.
@@ -827,6 +790,7 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
Persistent memory across coding sessions
Better understanding of your codebase over time
Reduces repetitive explanations
+ No Docker required - uses embedded database
- Requires FalkorDB (Docker) and an LLM/embedding provider
+ Uses LadybugDB (embedded) and an LLM/embedding provider
@@ -867,42 +831,42 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
{/* Configuration fields (shown when enabled) */}
{config.enabled && (
- {/* FalkorDB URI */}
+ {/* Database Settings */}
-
-
- FalkorDB URI
+
+
+ Database Name
- {validationStatus.falkordb && (
+ {validationStatus.database && (
- {validationStatus.falkordb.success ? (
+ {validationStatus.database.success ? (
) : (
)}
-
- {validationStatus.falkordb.success ? 'Connected' : 'Failed'}
+
+ {validationStatus.database.success ? 'Ready' : 'Issue'}
)}
{
- setConfig(prev => ({ ...prev, falkorDbUri: e.target.value }));
- setValidationStatus(prev => ({ ...prev, falkordb: null }));
+ setConfig(prev => ({ ...prev, database: e.target.value }));
+ setValidationStatus(prev => ({ ...prev, database: null }));
}}
- placeholder="bolt://localhost:6379"
+ placeholder="auto_claude_memory"
className="font-mono text-sm"
disabled={isSaving || isValidating}
/>
- Auto-detected from Docker if FalkorDB is running
+ Stored in ~/.auto-claude/graphs/
@@ -990,7 +954,7 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
>
)}
- {validationStatus.falkordb?.success && validationStatus.provider?.success && (
+ {validationStatus.database?.success && validationStatus.provider?.success && (
All connections validated successfully!
@@ -1032,7 +996,7 @@ export function GraphitiStep({ onNext, onBack, onSkip }: GraphitiStepProps) {
{isSaving ? (
<>
diff --git a/auto-claude-ui/src/renderer/components/onboarding/MemoryStep.tsx b/auto-claude-ui/src/renderer/components/onboarding/MemoryStep.tsx
new file mode 100644
index 00000000..5063c93c
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/onboarding/MemoryStep.tsx
@@ -0,0 +1,532 @@
+import { useState, useEffect } from 'react';
+import {
+ Brain,
+ Database,
+ Info,
+ Loader2,
+ CheckCircle2,
+ AlertCircle,
+ Eye,
+ EyeOff,
+} from 'lucide-react';
+import { Button } from '../ui/button';
+import { Input } from '../ui/input';
+import { Label } from '../ui/label';
+import { Card, CardContent } from '../ui/card';
+import {
+ Select,
+ SelectContent,
+ SelectItem,
+ SelectTrigger,
+ SelectValue
+} from '../ui/select';
+import { OllamaModelSelector } from './OllamaModelSelector';
+import { useSettingsStore } from '../../stores/settings-store';
+import type { GraphitiEmbeddingProvider, AppSettings } from '../../../shared/types';
+
+interface MemoryStepProps {
+ onNext: () => void;
+ onBack: () => void;
+}
+
+// Embedding provider configurations (LLM provider removed - Claude SDK handles RAG)
+const EMBEDDING_PROVIDERS: Array<{
+ id: GraphitiEmbeddingProvider;
+ name: string;
+ description: string;
+ requiresApiKey: boolean;
+}> = [
+ { id: 'ollama', name: 'Ollama (Local)', description: 'Free, local embeddings', requiresApiKey: false },
+ { id: 'openai', name: 'OpenAI', description: 'text-embedding-3-small', requiresApiKey: true },
+ { id: 'voyage', name: 'Voyage AI', description: 'voyage-3 (high quality)', requiresApiKey: true },
+ { id: 'google', name: 'Google AI', description: 'text-embedding-004', requiresApiKey: true },
+ { id: 'azure_openai', name: 'Azure OpenAI', description: 'Enterprise deployment', requiresApiKey: true },
+];
+
+interface MemoryConfig {
+ database: string;
+ embeddingProvider: GraphitiEmbeddingProvider;
+ // OpenAI
+ openaiApiKey: string;
+ // Azure OpenAI
+ azureOpenaiApiKey: string;
+ azureOpenaiBaseUrl: string;
+ azureOpenaiEmbeddingDeployment: string;
+ // Voyage
+ voyageApiKey: string;
+ // Google
+ googleApiKey: string;
+ // Ollama
+ ollamaBaseUrl: string;
+ ollamaEmbeddingModel: string;
+ ollamaEmbeddingDim: number;
+}
+
+/**
+ * Memory configuration step for the onboarding wizard.
+ *
+ * Key simplifications from the previous GraphitiStep:
+ * - Memory is always enabled (no toggle)
+ * - LLM provider removed (Claude SDK handles RAG queries)
+ * - Ollama is the default with model discovery + download
+ * - Keyword search works as fallback without embeddings
+ */
+export function MemoryStep({ onNext, onBack }: MemoryStepProps) {
+ const { settings, updateSettings } = useSettingsStore();
+ const [config, setConfig] = useState({
+ database: 'auto_claude_memory',
+ embeddingProvider: 'ollama',
+ openaiApiKey: settings.globalOpenAIApiKey || '',
+ azureOpenaiApiKey: '',
+ azureOpenaiBaseUrl: '',
+ azureOpenaiEmbeddingDeployment: '',
+ voyageApiKey: '',
+ googleApiKey: settings.globalGoogleApiKey || '',
+ ollamaBaseUrl: settings.ollamaBaseUrl || 'http://localhost:11434',
+ ollamaEmbeddingModel: 'embeddinggemma',
+ ollamaEmbeddingDim: 768,
+ });
+ const [showApiKey, setShowApiKey] = useState>({});
+ const [isSaving, setIsSaving] = useState(false);
+ const [error, setError] = useState(null);
+ const [isCheckingInfra, setIsCheckingInfra] = useState(true);
+ const [kuzuAvailable, setKuzuAvailable] = useState(null);
+
+ // Check LadybugDB/Kuzu availability on mount
+ useEffect(() => {
+ const checkInfrastructure = async () => {
+ setIsCheckingInfra(true);
+ try {
+ const result = await window.electronAPI.getMemoryInfrastructureStatus();
+ setKuzuAvailable(result?.success && result?.data?.memory?.kuzuInstalled ? true : false);
+ } catch {
+ setKuzuAvailable(false);
+ } finally {
+ setIsCheckingInfra(false);
+ }
+ };
+
+ checkInfrastructure();
+ }, []);
+
+ const toggleShowApiKey = (key: string) => {
+ setShowApiKey(prev => ({ ...prev, [key]: !prev[key] }));
+ };
+
+ // Check if we have valid configuration
+ const isConfigValid = (): boolean => {
+ const { embeddingProvider } = config;
+
+ // Ollama just needs a model selected
+ if (embeddingProvider === 'ollama') {
+ return !!config.ollamaEmbeddingModel.trim();
+ }
+
+ // Other providers need API keys
+ if (embeddingProvider === 'openai' && !config.openaiApiKey.trim()) return false;
+ if (embeddingProvider === 'voyage' && !config.voyageApiKey.trim()) return false;
+ if (embeddingProvider === 'google' && !config.googleApiKey.trim()) return false;
+ if (embeddingProvider === 'azure_openai') {
+ if (!config.azureOpenaiApiKey.trim()) return false;
+ if (!config.azureOpenaiBaseUrl.trim()) return false;
+ if (!config.azureOpenaiEmbeddingDeployment.trim()) return false;
+ }
+
+ return true;
+ };
+
+ const handleSave = async () => {
+ setIsSaving(true);
+ setError(null);
+
+ try {
+ // Save the API keys to global settings
+ const settingsToSave: Record = {};
+
+ if (config.openaiApiKey.trim()) {
+ settingsToSave.globalOpenAIApiKey = config.openaiApiKey.trim();
+ }
+ if (config.googleApiKey.trim()) {
+ settingsToSave.globalGoogleApiKey = config.googleApiKey.trim();
+ }
+ if (config.ollamaBaseUrl.trim()) {
+ settingsToSave.ollamaBaseUrl = config.ollamaBaseUrl.trim();
+ }
+
+ const result = await window.electronAPI.saveSettings(settingsToSave);
+
+ if (result?.success) {
+ // Update local settings store
+ const storeUpdate: Partial> = {};
+ if (config.openaiApiKey.trim()) storeUpdate.globalOpenAIApiKey = config.openaiApiKey.trim();
+ if (config.googleApiKey.trim()) storeUpdate.globalGoogleApiKey = config.googleApiKey.trim();
+ if (config.ollamaBaseUrl.trim()) storeUpdate.ollamaBaseUrl = config.ollamaBaseUrl.trim();
+ updateSettings(storeUpdate);
+ onNext();
+ } else {
+ setError(result?.error || 'Failed to save memory configuration');
+ }
+ } catch (err) {
+ setError(err instanceof Error ? err.message : 'Unknown error occurred');
+ } finally {
+ setIsSaving(false);
+ }
+ };
+
+ const handleContinue = () => {
+ handleSave();
+ };
+
+ const handleOllamaModelSelect = (modelName: string, dim: number) => {
+ setConfig(prev => ({
+ ...prev,
+ ollamaEmbeddingModel: modelName,
+ ollamaEmbeddingDim: dim,
+ }));
+ };
+
+ // Render provider-specific configuration fields
+ const renderProviderFields = () => {
+ const { embeddingProvider } = config;
+
+ if (embeddingProvider === 'ollama') {
+ return (
+
+
+
+ Select Embedding Model
+
+
+
+
+ );
+ }
+
+ if (embeddingProvider === 'openai') {
+ return (
+
+
+ OpenAI API Key
+
+
+ setConfig(prev => ({ ...prev, openaiApiKey: e.target.value }))}
+ placeholder="sk-..."
+ className="pr-10 font-mono text-sm"
+ disabled={isSaving}
+ />
+ toggleShowApiKey('openai')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ >
+ {showApiKey['openai'] ? : }
+
+
+
+ Get your key from{' '}
+
+ OpenAI
+
+
+
+ );
+ }
+
+ if (embeddingProvider === 'voyage') {
+ return (
+
+
+ Voyage API Key
+
+
+ setConfig(prev => ({ ...prev, voyageApiKey: e.target.value }))}
+ placeholder="pa-..."
+ className="pr-10 font-mono text-sm"
+ disabled={isSaving}
+ />
+ toggleShowApiKey('voyage')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ >
+ {showApiKey['voyage'] ? : }
+
+
+
+ Get your key from{' '}
+
+ Voyage AI
+
+
+
+ );
+ }
+
+ if (embeddingProvider === 'google') {
+ return (
+
+
+ Google API Key
+
+
+ setConfig(prev => ({ ...prev, googleApiKey: e.target.value }))}
+ placeholder="AIza..."
+ className="pr-10 font-mono text-sm"
+ disabled={isSaving}
+ />
+ toggleShowApiKey('google')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ >
+ {showApiKey['google'] ? : }
+
+
+
+ Get your key from{' '}
+
+ Google AI Studio
+
+
+
+ );
+ }
+
+ if (embeddingProvider === 'azure_openai') {
+ return (
+
+
Azure OpenAI Settings
+
+
API Key
+
+ setConfig(prev => ({ ...prev, azureOpenaiApiKey: e.target.value }))}
+ placeholder="Azure API key"
+ className="pr-10 font-mono text-sm"
+ disabled={isSaving}
+ />
+ toggleShowApiKey('azure')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ >
+ {showApiKey['azure'] ? : }
+
+
+
+
+ Base URL
+ setConfig(prev => ({ ...prev, azureOpenaiBaseUrl: e.target.value }))}
+ placeholder="https://your-resource.openai.azure.com"
+ className="font-mono text-sm"
+ disabled={isSaving}
+ />
+
+
+ Embedding Deployment Name
+ setConfig(prev => ({ ...prev, azureOpenaiEmbeddingDeployment: e.target.value }))}
+ placeholder="text-embedding-ada-002"
+ className="font-mono text-sm"
+ disabled={isSaving}
+ />
+
+
+ );
+ }
+
+ return null;
+ };
+
+ return (
+
+
+ {/* Header */}
+
+
+
+ Memory
+
+
+ Auto Claude Memory helps remember context across your coding sessions
+
+
+
+ {/* Loading state for infrastructure check */}
+ {isCheckingInfra && (
+
+
+
+ )}
+
+ {/* Main content */}
+ {!isCheckingInfra && (
+
+ {/* Error banner */}
+ {error && (
+
+
+
+
+
+ )}
+
+ {/* Kuzu status notice */}
+ {kuzuAvailable === false && (
+
+
+
+
+
+
+ Database will be created automatically
+
+
+ Memory uses an embedded database - no Docker required.
+ It will be created when you first use memory features.
+
+
+
+
+
+ )}
+
+ {/* Info card about Memory */}
+
+
+
+
+
+
+ What does Memory do?
+
+
+ Memory stores discoveries, patterns, and insights about your codebase
+ so future sessions start with context already loaded.
+
+
+ Remembers patterns across sessions
+ Understands your codebase over time
+ Works offline - no cloud required
+
+
+
+
+
+
+ {/* Database info */}
+
+
+
+
+ Memory Database
+
+
+ Stored in ~/.auto-claude/memories/
+
+
+ {kuzuAvailable && (
+
+ )}
+
+
+ {/* Embedding Provider Selection */}
+
+
+
+ Embedding Provider (for semantic search)
+
+
{
+ setConfig(prev => ({ ...prev, embeddingProvider: value }));
+ }}
+ disabled={isSaving}
+ >
+
+
+
+
+ {EMBEDDING_PROVIDERS.map(p => (
+
+
+ {p.name}
+ {p.description}
+
+
+ ))}
+
+
+
+
+ {/* Provider-specific fields */}
+ {renderProviderFields()}
+
+
+ {/* Fallback info */}
+
+ No embedding provider? Memory still works with keyword search. Semantic search is an upgrade.
+
+
+ )}
+
+ {/* Action Buttons */}
+
+
+ Back
+
+
+ {isSaving ? (
+ <>
+
+ Saving...
+ >
+ ) : (
+ 'Save & Continue'
+ )}
+
+
+
+
+ );
+}
diff --git a/auto-claude-ui/src/renderer/components/onboarding/OllamaModelSelector.tsx b/auto-claude-ui/src/renderer/components/onboarding/OllamaModelSelector.tsx
new file mode 100644
index 00000000..37cb6a63
--- /dev/null
+++ b/auto-claude-ui/src/renderer/components/onboarding/OllamaModelSelector.tsx
@@ -0,0 +1,287 @@
+import { useState, useEffect } from 'react';
+import {
+ Check,
+ Download,
+ Loader2,
+ AlertCircle,
+ RefreshCw
+} from 'lucide-react';
+import { Button } from '../ui/button';
+import { cn } from '../../lib/utils';
+
+interface OllamaModel {
+ name: string;
+ description: string;
+ size_estimate?: string;
+ dim: number;
+ installed: boolean;
+}
+
+interface OllamaModelSelectorProps {
+ selectedModel: string;
+ onModelSelect: (model: string, dim: number) => void;
+ disabled?: boolean;
+ className?: string;
+}
+
+// Recommended embedding models for Auto Claude Memory
+// embeddinggemma is first as the recommended default
+const RECOMMENDED_MODELS: OllamaModel[] = [
+ {
+ name: 'embeddinggemma',
+ description: "Google's lightweight embedding model (Recommended)",
+ size_estimate: '621 MB',
+ dim: 768,
+ installed: false,
+ },
+ {
+ name: 'nomic-embed-text',
+ description: 'Popular general-purpose embeddings',
+ size_estimate: '274 MB',
+ dim: 768,
+ installed: false,
+ },
+ {
+ name: 'mxbai-embed-large',
+ description: 'MixedBread AI large embeddings',
+ size_estimate: '670 MB',
+ dim: 1024,
+ installed: false,
+ },
+];
+
+/**
+ * OllamaModelSelector - Select or download Ollama embedding models
+ *
+ * Shows installed models with checkmarks and recommended models with download buttons.
+ * Automatically refreshes the list after successful downloads.
+ */
+export function OllamaModelSelector({
+ selectedModel,
+ onModelSelect,
+ disabled = false,
+ className,
+}: OllamaModelSelectorProps) {
+ const [models, setModels] = useState(RECOMMENDED_MODELS);
+ const [isLoading, setIsLoading] = useState(true);
+ const [isDownloading, setIsDownloading] = useState(null);
+ const [error, setError] = useState(null);
+ const [ollamaAvailable, setOllamaAvailable] = useState(true);
+
+ // Check installed models - used by both mount effect and refresh after download
+ const checkInstalledModels = async (abortSignal?: AbortSignal) => {
+ setIsLoading(true);
+ setError(null);
+
+ try {
+ // Check Ollama status first
+ const statusResult = await window.electronAPI.checkOllamaStatus();
+ if (abortSignal?.aborted) return;
+
+ if (!statusResult?.success || !statusResult?.data?.running) {
+ setOllamaAvailable(false);
+ setIsLoading(false);
+ return;
+ }
+
+ setOllamaAvailable(true);
+
+ // Get list of installed embedding models
+ const result = await window.electronAPI.listOllamaEmbeddingModels();
+ if (abortSignal?.aborted) return;
+
+ if (result?.success && result?.data?.embedding_models) {
+ const installedNames = new Set(
+ result.data.embedding_models.map((m: { name: string }) => {
+ // Normalize: "embeddinggemma:latest" -> "embeddinggemma"
+ const name = m.name;
+ return name.includes(':') ? name.split(':')[0] : name;
+ })
+ );
+
+ // Update models with installation status
+ setModels(
+ RECOMMENDED_MODELS.map(model => {
+ const baseName = model.name.includes(':') ? model.name.split(':')[0] : model.name;
+ return {
+ ...model,
+ installed: installedNames.has(baseName) || installedNames.has(model.name),
+ };
+ })
+ );
+ }
+ } catch (err) {
+ if (!abortSignal?.aborted) {
+ console.error('Failed to check Ollama models:', err);
+ setError('Failed to check Ollama models');
+ }
+ } finally {
+ if (!abortSignal?.aborted) {
+ setIsLoading(false);
+ }
+ }
+ };
+
+ // Fetch installed models on mount with cleanup
+ useEffect(() => {
+ const controller = new AbortController();
+ checkInstalledModels(controller.signal);
+ return () => controller.abort();
+ }, []);
+
+ const handleDownload = async (modelName: string) => {
+ setIsDownloading(modelName);
+ setError(null);
+
+ try {
+ const result = await window.electronAPI.pullOllamaModel(modelName);
+ if (result?.success) {
+ // Refresh the model list
+ await checkInstalledModels();
+ } else {
+ setError(result?.error || `Failed to download ${modelName}`);
+ }
+ } catch (err) {
+ setError(err instanceof Error ? err.message : 'Download failed');
+ } finally {
+ setIsDownloading(null);
+ }
+ };
+
+ const handleSelect = (model: OllamaModel) => {
+ if (!model.installed || disabled) return;
+ onModelSelect(model.name, model.dim);
+ };
+
+ if (isLoading) {
+ return (
+
+
+ Checking Ollama models...
+
+ );
+ }
+
+ if (!ollamaAvailable) {
+ return (
+
+
+
+
+
Ollama not running
+
+ Start Ollama to use local embedding models. Memory will still work with keyword search.
+
+
checkInstalledModels()}
+ className="mt-3"
+ >
+
+ Retry
+
+
+
+
+ );
+ }
+
+ return (
+
+ {error && (
+
+ )}
+
+
+ {models.map(model => {
+ const isSelected = selectedModel === model.name;
+ const isCurrentlyDownloading = isDownloading === model.name;
+
+ return (
+
handleSelect(model)}
+ >
+
+ {/* Selection/Status indicator */}
+
+ {isSelected && }
+
+
+
+
+ {model.name}
+
+ ({model.dim} dim)
+
+ {model.installed && (
+
+ Installed
+
+ )}
+
+
{model.description}
+
+
+
+ {/* Download button for non-installed models */}
+ {!model.installed && (
+
{
+ e.stopPropagation();
+ handleDownload(model.name);
+ }}
+ disabled={isCurrentlyDownloading || disabled}
+ className="shrink-0"
+ >
+ {isCurrentlyDownloading ? (
+ <>
+
+ Downloading...
+ >
+ ) : (
+ <>
+
+ Download
+ {model.size_estimate && (
+
+ ({model.size_estimate})
+
+ )}
+ >
+ )}
+
+ )}
+
+ );
+ })}
+
+
+
+ Select an installed model for semantic search. Memory works with keyword search even without embeddings.
+
+
+ );
+}
diff --git a/auto-claude-ui/src/renderer/components/onboarding/OnboardingWizard.tsx b/auto-claude-ui/src/renderer/components/onboarding/OnboardingWizard.tsx
index 23685586..68505794 100644
--- a/auto-claude-ui/src/renderer/components/onboarding/OnboardingWizard.tsx
+++ b/auto-claude-ui/src/renderer/components/onboarding/OnboardingWizard.tsx
@@ -12,7 +12,7 @@ import { ScrollArea } from '../ui/scroll-area';
import { WizardProgress, WizardStep } from './WizardProgress';
import { WelcomeStep } from './WelcomeStep';
import { OAuthStep } from './OAuthStep';
-import { GraphitiStep } from './GraphitiStep';
+import { MemoryStep } from './MemoryStep';
import { CompletionStep } from './CompletionStep';
import { useSettingsStore } from '../../stores/settings-store';
@@ -24,13 +24,13 @@ interface OnboardingWizardProps {
}
// Wizard step identifiers
-type WizardStepId = 'welcome' | 'oauth' | 'graphiti' | 'completion';
+type WizardStepId = 'welcome' | 'oauth' | 'memory' | 'completion';
// Step configuration
const WIZARD_STEPS: { id: WizardStepId; label: string }[] = [
{ id: 'welcome', label: 'Welcome' },
{ id: 'oauth', label: 'Auth' },
- { id: 'graphiti', label: 'Memory' },
+ { id: 'memory', label: 'Memory' },
{ id: 'completion', label: 'Done' }
];
@@ -153,12 +153,11 @@ export function OnboardingWizard({
onSkip={skipWizard}
/>
);
- case 'graphiti':
+ case 'memory':
return (
-
);
case 'completion':
diff --git a/auto-claude-ui/src/renderer/components/onboarding/index.ts b/auto-claude-ui/src/renderer/components/onboarding/index.ts
index 972a5ed3..5bb10668 100644
--- a/auto-claude-ui/src/renderer/components/onboarding/index.ts
+++ b/auto-claude-ui/src/renderer/components/onboarding/index.ts
@@ -6,7 +6,11 @@
export { OnboardingWizard } from './OnboardingWizard';
export { WelcomeStep } from './WelcomeStep';
export { OAuthStep } from './OAuthStep';
-export { GraphitiStep } from './GraphitiStep';
+export { MemoryStep } from './MemoryStep';
+export { OllamaModelSelector } from './OllamaModelSelector';
export { FirstSpecStep } from './FirstSpecStep';
export { CompletionStep } from './CompletionStep';
export { WizardProgress, type WizardStep } from './WizardProgress';
+
+// Legacy export for backward compatibility
+export { GraphitiStep } from './GraphitiStep';
diff --git a/auto-claude-ui/src/renderer/components/project-settings/EnvironmentSettings.tsx b/auto-claude-ui/src/renderer/components/project-settings/EnvironmentSettings.tsx
index bf6ca05f..eeb86a37 100644
--- a/auto-claude-ui/src/renderer/components/project-settings/EnvironmentSettings.tsx
+++ b/auto-claude-ui/src/renderer/components/project-settings/EnvironmentSettings.tsx
@@ -151,7 +151,7 @@ export function EnvironmentSettings({
)}
-
+
{activeProfile ? (
void;
- onOpenDockerDesktop: () => void;
- onDownloadDocker: () => void;
}
+/**
+ * Memory Infrastructure Status Component
+ * Shows status of LadybugDB (embedded database) - no Docker required
+ */
export function InfrastructureStatus({
infrastructureStatus,
isCheckingInfrastructure,
- isStartingFalkorDB,
- isOpeningDocker,
- onStartFalkorDB,
- onOpenDockerDesktop,
- onDownloadDocker,
}: InfrastructureStatusProps) {
return (
- Infrastructure Status
+ Memory Infrastructure
{isCheckingInfrastructure && (
)}
- {/* Docker Status */}
+ {/* Kuzu Installation Status */}
- {infrastructureStatus?.docker.running ? (
+ {infrastructureStatus?.memory.kuzuInstalled ? (
- ) : infrastructureStatus?.docker.installed ? (
-
) : (
-
+
)}
-
Docker
+
Kuzu Database
- {infrastructureStatus?.docker.running ? (
- Running
- ) : infrastructureStatus?.docker.installed ? (
- <>
- Not Running
-
- {isOpeningDocker ? (
-
- ) : null}
- Start Docker
-
- >
+ {infrastructureStatus?.memory.kuzuInstalled ? (
+ Installed
) : (
- <>
- Not Installed
-
-
- Install
-
- >
+ Not Available
)}
- {/* FalkorDB Status */}
+ {/* Database Status */}
- {infrastructureStatus?.falkordb.healthy ? (
-
- ) : infrastructureStatus?.falkordb.containerRunning ? (
-
+ {infrastructureStatus?.memory.databaseExists ? (
+
) : (
-
+
)}
-
FalkorDB
+
Database
- {infrastructureStatus?.falkordb.healthy ? (
+ {infrastructureStatus?.memory.databaseExists ? (
Ready
- ) : infrastructureStatus?.falkordb.containerRunning ? (
- Starting...
- ) : infrastructureStatus?.docker.running ? (
- <>
- Not Running
-
- {isStartingFalkorDB ? (
-
- ) : (
-
- )}
- Start
-
- >
+ ) : infrastructureStatus?.memory.kuzuInstalled ? (
+ Will be created on first use
) : (
- Requires Docker
+ Requires Kuzu
)}
+ {/* Available Databases */}
+ {infrastructureStatus?.memory.databases && infrastructureStatus.memory.databases.length > 0 && (
+
+ Available databases: {infrastructureStatus.memory.databases.join(', ')}
+
+ )}
+
{/* Overall Status Message */}
{infrastructureStatus?.ready ? (
Graph memory is ready to use
- ) : infrastructureStatus && !infrastructureStatus.docker.installed && (
+ ) : infrastructureStatus && !infrastructureStatus.memory.kuzuInstalled && (
- Docker Desktop is required for graph-based memory.
+ Graph memory requires Python 3.12+ with LadybugDB. No Docker needed.
+
+ )}
+
+ {/* Error Display */}
+ {infrastructureStatus?.memory.error && (
+
+ {infrastructureStatus.memory.error}
)}
diff --git a/auto-claude-ui/src/renderer/components/project-settings/MemoryBackendSection.tsx b/auto-claude-ui/src/renderer/components/project-settings/MemoryBackendSection.tsx
index 02e14ff2..b5368275 100644
--- a/auto-claude-ui/src/renderer/components/project-settings/MemoryBackendSection.tsx
+++ b/auto-claude-ui/src/renderer/components/project-settings/MemoryBackendSection.tsx
@@ -1,4 +1,5 @@
-import { Database, Globe } from 'lucide-react';
+import { useState, useEffect, useCallback } from 'react';
+import { Database, Globe, RefreshCw, CheckCircle2, AlertCircle, Loader2 } from 'lucide-react';
import { CollapsibleSection } from './CollapsibleSection';
import { InfrastructureStatus } from './InfrastructureStatus';
import { PasswordInput } from './PasswordInput';
@@ -7,8 +8,16 @@ import { Input } from '../ui/input';
import { Switch } from '../ui/switch';
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '../ui/select';
import { Separator } from '../ui/separator';
+import { Button } from '../ui/button';
import type { ProjectEnvConfig, ProjectSettings, InfrastructureStatus as InfrastructureStatusType } from '../../../shared/types';
+interface OllamaEmbeddingModel {
+ name: string;
+ embedding_dim: number | null;
+ description: string;
+ size_gb: number;
+}
+
interface MemoryBackendSectionProps {
isExpanded: boolean;
onToggle: () => void;
@@ -18,13 +27,12 @@ interface MemoryBackendSectionProps {
onUpdateSettings: (updates: Partial
) => void;
infrastructureStatus: InfrastructureStatusType | null;
isCheckingInfrastructure: boolean;
- isStartingFalkorDB: boolean;
- isOpeningDocker: boolean;
- onStartFalkorDB: () => void;
- onOpenDockerDesktop: () => void;
- onDownloadDocker: () => void;
}
+/**
+ * Memory Backend Section Component
+ * Configures Graphiti memory using LadybugDB (embedded database - no Docker required)
+ */
export function MemoryBackendSection({
isExpanded,
onToggle,
@@ -34,25 +42,67 @@ export function MemoryBackendSection({
onUpdateSettings,
infrastructureStatus,
isCheckingInfrastructure,
- isStartingFalkorDB,
- isOpeningDocker,
- onStartFalkorDB,
- onOpenDockerDesktop,
- onDownloadDocker,
}: MemoryBackendSectionProps) {
+ // Ollama model detection state
+ const [ollamaModels, setOllamaModels] = useState([]);
+ const [ollamaStatus, setOllamaStatus] = useState<'idle' | 'checking' | 'connected' | 'disconnected'>('idle');
+ const [ollamaError, setOllamaError] = useState(null);
+
+ const embeddingProvider = envConfig.graphitiProviderConfig?.embeddingProvider || 'openai';
+ const ollamaBaseUrl = envConfig.graphitiProviderConfig?.ollamaBaseUrl || 'http://localhost:11434';
+
+ // Detect Ollama embedding models
+ const detectOllamaModels = useCallback(async () => {
+ if (!envConfig.graphitiEnabled || embeddingProvider !== 'ollama') return;
+
+ setOllamaStatus('checking');
+ setOllamaError(null);
+
+ try {
+ // Check Ollama status first
+ const statusResult = await window.electronAPI.checkOllamaStatus(ollamaBaseUrl);
+ if (!statusResult.success || !statusResult.data?.running) {
+ setOllamaStatus('disconnected');
+ setOllamaError(statusResult.data?.message || 'Ollama is not running');
+ return;
+ }
+
+ // Get embedding models
+ const modelsResult = await window.electronAPI.listOllamaEmbeddingModels(ollamaBaseUrl);
+ if (!modelsResult.success) {
+ setOllamaStatus('connected');
+ setOllamaError(modelsResult.error || 'Failed to list models');
+ return;
+ }
+
+ setOllamaModels(modelsResult.data?.embedding_models || []);
+ setOllamaStatus('connected');
+ } catch (err) {
+ setOllamaStatus('disconnected');
+ setOllamaError(err instanceof Error ? err.message : 'Failed to detect Ollama models');
+ }
+ }, [envConfig.graphitiEnabled, embeddingProvider, ollamaBaseUrl]);
+
+ // Auto-detect when Ollama is selected
+ useEffect(() => {
+ if (embeddingProvider === 'ollama' && envConfig.graphitiEnabled) {
+ detectOllamaModels();
+ }
+ }, [embeddingProvider, envConfig.graphitiEnabled, detectOllamaModels]);
+
const badge = (
- {envConfig.graphitiEnabled ? 'Graphiti' : 'File-based'}
+ {envConfig.graphitiEnabled ? 'Enabled' : 'Disabled'}
);
return (
}
isExpanded={isExpanded}
onToggle={onToggle}
@@ -60,9 +110,9 @@ export function MemoryBackendSection({
>
-
Use Graphiti (Recommended)
+
Enable Memory
- Persistent cross-session memory using FalkorDB graph database
+ Persistent cross-session memory using embedded graph database
Using file-based memory. Session insights are stored locally in JSON files.
- Enable Graphiti for persistent cross-session memory with semantic search.
+ Enable Memory for persistent cross-session context with semantic search.
)}
{envConfig.graphitiEnabled && (
<>
- {/* Infrastructure Status - Dynamic Docker/FalkorDB check */}
+ {/* Infrastructure Status - LadybugDB check */}
{/* Graphiti MCP Server Toggle */}
@@ -117,66 +162,30 @@ export function MemoryBackendSection({
Graphiti MCP Server URL
- URL of the Graphiti MCP server (requires Docker container)
+ URL of the Graphiti MCP server
onUpdateSettings({ graphitiMcpUrl: e.target.value || undefined })}
/>
-
-
- Start the MCP server with:{' '}
- docker run -d -p 8000:8000 falkordb/graphiti-knowledge-graph-mcp
-
-
)}
- {/* LLM Provider Selection - V2 Multi-provider support */}
-
-
LLM Provider
-
- Provider for graph operations (extraction, search, reasoning)
-
-
onUpdateConfig({
- graphitiProviderConfig: {
- ...envConfig.graphitiProviderConfig,
- llmProvider: value as 'openai' | 'anthropic' | 'azure_openai' | 'ollama' | 'google' | 'groq',
- embeddingProvider: envConfig.graphitiProviderConfig?.embeddingProvider || 'openai',
- }
- })}
- >
-
-
-
-
- OpenAI (GPT-4o-mini)
- Anthropic (Claude)
- Google AI (Gemini)
- Azure OpenAI
- Ollama (Local)
-
-
-
-
{/* Embedding Provider Selection */}
Embedding Provider
- Provider for semantic search embeddings
+ Provider for semantic search (optional - keyword search works without)
onUpdateConfig({
graphitiProviderConfig: {
...envConfig.graphitiProviderConfig,
- llmProvider: envConfig.graphitiProviderConfig?.llmProvider || 'openai',
- embeddingProvider: value as 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google' | 'huggingface',
+ embeddingProvider: value as 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google',
}
})}
>
@@ -184,82 +193,311 @@ export function MemoryBackendSection({
+ Ollama (Local - Free)
OpenAI
Voyage AI
Google AI
Azure OpenAI
- Ollama (Local)
-
-
-
- OpenAI API Key {envConfig.openaiKeyIsGlobal ? '(Override)' : ''}
-
- {envConfig.openaiKeyIsGlobal && (
-
-
- Using global key
-
+ {/* Provider-specific credential fields */}
+ {/* OpenAI */}
+ {embeddingProvider === 'openai' && (
+
+
+
+ OpenAI API Key {envConfig.openaiKeyIsGlobal ? '(Override)' : ''}
+
+ {envConfig.openaiKeyIsGlobal && (
+
+
+ Using global key
+
+ )}
+
+ {envConfig.openaiKeyIsGlobal ? (
+
+ Using key from App Settings. Enter a project-specific key below to override.
+
+ ) : (
+
+ Required for OpenAI embeddings
+
)}
-
- {envConfig.openaiKeyIsGlobal ? (
-
- Using key from App Settings. Enter a project-specific key below to override.
-
- ) : (
-
- Required when using OpenAI as LLM or embedding provider
-
- )}
-
onUpdateConfig({ openaiApiKey: value || undefined })}
- placeholder={envConfig.openaiKeyIsGlobal ? 'Enter to override global key...' : 'sk-xxxxxxxx'}
- />
-
-
-
-
-
FalkorDB Host
-
onUpdateConfig({ graphitiFalkorDbHost: e.target.value })}
+
onUpdateConfig({ openaiApiKey: value || undefined })}
+ placeholder={envConfig.openaiKeyIsGlobal ? 'Enter to override global key...' : 'sk-xxxxxxxx'}
/>
+ )}
+
+ {/* Voyage AI */}
+ {embeddingProvider === 'voyage' && (
-
FalkorDB Port
-
onUpdateConfig({ graphitiFalkorDbPort: parseInt(e.target.value) || undefined })}
+
Voyage AI API Key
+
+ Required for Voyage AI embeddings
+
+
onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'voyage',
+ voyageApiKey: value || undefined,
+ }
+ })}
+ placeholder="pa-xxxxxxxx"
+ />
+
+ Embedding Model
+ onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'voyage',
+ voyageEmbeddingModel: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ )}
+
+ {/* Google AI */}
+ {embeddingProvider === 'google' && (
+
+
Google AI API Key
+
+ Required for Google AI embeddings
+
+
onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'google',
+ googleApiKey: value || undefined,
+ }
+ })}
+ placeholder="AIzaSy..."
/>
-
+ )}
-
-
FalkorDB Password (Optional)
-
onUpdateConfig({ graphitiFalkorDbPassword: value })}
- placeholder="Leave empty if none"
- />
-
+ {/* Azure OpenAI */}
+ {embeddingProvider === 'azure_openai' && (
+
+
Azure OpenAI Configuration
+
+
API Key
+
onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiApiKey: value || undefined,
+ }
+ })}
+ placeholder="Azure API Key"
+ />
+
+
+ Base URL
+ onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiBaseUrl: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ Embedding Deployment Name
+ onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiEmbeddingDeployment: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ )}
+
+ {/* Ollama (Local) */}
+ {embeddingProvider === 'ollama' && (
+
+
+
Ollama Configuration
+
+ {ollamaStatus === 'checking' && (
+
+
+ Checking...
+
+ )}
+ {ollamaStatus === 'connected' && (
+
+
+ Connected
+
+ )}
+ {ollamaStatus === 'disconnected' && (
+
+
+ Not running
+
+ )}
+
+
+
+
+
+
+
+ Base URL
+ onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'ollama',
+ ollamaBaseUrl: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ {ollamaError && (
+
+ {ollamaError}
+
+ )}
+
+
+
Embedding Model
+ {ollamaModels.length > 0 ? (
+
{
+ const model = ollamaModels.find(m => m.name === value);
+ onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'ollama',
+ ollamaEmbeddingModel: value,
+ ollamaEmbeddingDim: model?.embedding_dim || undefined,
+ }
+ });
+ }}
+ >
+
+
+
+
+ {ollamaModels.map((model) => (
+
+
+ {model.name}
+ {model.embedding_dim && (
+
+ ({model.embedding_dim}d)
+
+ )}
+
+
+ ))}
+
+
+ ) : (
+
onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'ollama',
+ ollamaEmbeddingModel: e.target.value || undefined,
+ }
+ })}
+ />
+ )}
+
+ Common models: nomic-embed-text, bge-base-en, mxbai-embed-large
+
+
+
+
+
Embedding Dimension
+
onUpdateConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'ollama',
+ ollamaEmbeddingDim: parseInt(e.target.value) || undefined,
+ }
+ })}
+ />
+
+ Required for Ollama embeddings (e.g., 768 for nomic-embed-text)
+
+
+
+ )}
+
+ {/* Database Settings */}
+
Database Name
+
+ Name for the memory database (stored in ~/.auto-claude/memories/)
+
onUpdateConfig({ graphitiDatabase: e.target.value })}
/>
+
+
+
Database Path (Optional)
+
+ Custom storage location. Default: ~/.auto-claude/memories/
+
+
onUpdateConfig({ graphitiDbPath: e.target.value || undefined })}
+ />
+
>
)}
diff --git a/auto-claude-ui/src/renderer/components/project-settings/ProjectSettings.tsx b/auto-claude-ui/src/renderer/components/project-settings/ProjectSettings.tsx
index d00d8c42..6c8be084 100644
--- a/auto-claude-ui/src/renderer/components/project-settings/ProjectSettings.tsx
+++ b/auto-claude-ui/src/renderer/components/project-settings/ProjectSettings.tsx
@@ -45,8 +45,6 @@ export function ProjectSettings({ project, open, onOpenChange }: ProjectSettings
setShowLinearKey,
showOpenAIKey,
setShowOpenAIKey,
- showFalkorPassword,
- setShowFalkorPassword,
showGitHubToken,
setShowGitHubToken,
expandedSections,
@@ -146,8 +144,6 @@ export function ProjectSettings({ project, open, onOpenChange }: ProjectSettings
updateEnvConfig={updateEnvConfig}
showOpenAIKey={showOpenAIKey}
setShowOpenAIKey={setShowOpenAIKey}
- showFalkorPassword={showFalkorPassword}
- setShowFalkorPassword={setShowFalkorPassword}
expanded={expandedSections.graphiti}
onToggle={() => toggleSection('graphiti')}
/>
diff --git a/auto-claude-ui/src/renderer/components/project-settings/SecuritySettings.tsx b/auto-claude-ui/src/renderer/components/project-settings/SecuritySettings.tsx
index 2d4e9f74..2e762348 100644
--- a/auto-claude-ui/src/renderer/components/project-settings/SecuritySettings.tsx
+++ b/auto-claude-ui/src/renderer/components/project-settings/SecuritySettings.tsx
@@ -1,3 +1,4 @@
+import { useState, useEffect } from 'react';
import {
Database,
Eye,
@@ -17,7 +18,8 @@ import {
SelectValue
} from '../ui/select';
import { Separator } from '../ui/separator';
-import type { ProjectEnvConfig, ProjectSettings as ProjectSettingsType } from '../../../shared/types';
+import { OllamaModelSelector } from '../onboarding/OllamaModelSelector';
+import type { ProjectEnvConfig, ProjectSettings as ProjectSettingsType, GraphitiEmbeddingProvider } from '../../../shared/types';
interface SecuritySettingsProps {
envConfig: ProjectEnvConfig | null;
@@ -28,8 +30,6 @@ interface SecuritySettingsProps {
// Password visibility
showOpenAIKey: boolean;
setShowOpenAIKey: React.Dispatch
>;
- showFalkorPassword: boolean;
- setShowFalkorPassword: React.Dispatch>;
// Collapsible section
expanded: boolean;
@@ -43,13 +43,276 @@ export function SecuritySettings({
updateEnvConfig,
showOpenAIKey,
setShowOpenAIKey,
- showFalkorPassword,
- setShowFalkorPassword,
expanded,
onToggle
}: SecuritySettingsProps) {
+ // Password visibility for multiple providers
+ const [showApiKey, setShowApiKey] = useState>({
+ openai: showOpenAIKey,
+ voyage: false,
+ google: false,
+ azure: false
+ });
+
+ // Sync parent's showOpenAIKey prop to local state
+ useEffect(() => {
+ setShowApiKey(prev => ({ ...prev, openai: showOpenAIKey }));
+ }, [showOpenAIKey]);
+
+ const embeddingProvider = envConfig?.graphitiProviderConfig?.embeddingProvider || 'ollama';
+
+ // Toggle API key visibility
+ const toggleShowApiKey = (key: string) => {
+ const newValue = !showApiKey[key];
+ setShowApiKey(prev => ({ ...prev, [key]: newValue }));
+ // Sync with parent for OpenAI
+ if (key === 'openai') {
+ setShowOpenAIKey(newValue);
+ }
+ };
+
+ // Handle Ollama model selection
+ const handleOllamaModelSelect = (modelName: string, dim: number) => {
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig?.graphitiProviderConfig,
+ embeddingProvider: 'ollama',
+ ollamaEmbeddingModel: modelName,
+ ollamaEmbeddingDim: dim,
+ }
+ });
+ };
+
if (!envConfig) return null;
+ // Render provider-specific configuration fields
+ const renderProviderFields = () => {
+ // OpenAI
+ if (embeddingProvider === 'openai') {
+ return (
+
+
+
+ OpenAI API Key {envConfig.openaiKeyIsGlobal ? '(Override)' : ''}
+
+ {envConfig.openaiKeyIsGlobal && (
+
+
+ Using global key
+
+ )}
+
+ {envConfig.openaiKeyIsGlobal ? (
+
+ Using key from App Settings. Enter a project-specific key below to override.
+
+ ) : (
+
+ Required for OpenAI embeddings
+
+ )}
+
+ updateEnvConfig({ openaiApiKey: e.target.value || undefined })}
+ className="pr-10"
+ />
+ toggleShowApiKey('openai')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ aria-label={showApiKey['openai'] ? 'Hide OpenAI API key' : 'Show OpenAI API key'}
+ >
+ {showApiKey['openai'] ? : }
+
+
+
+ Get your key from{' '}
+
+ OpenAI
+
+
+
+ );
+ }
+
+ // Voyage AI
+ if (embeddingProvider === 'voyage') {
+ return (
+
+
Voyage AI API Key
+
+ Required for Voyage AI embeddings
+
+
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'voyage',
+ voyageApiKey: e.target.value || undefined,
+ }
+ })}
+ placeholder="pa-xxxxxxxx"
+ className="pr-10"
+ />
+ toggleShowApiKey('voyage')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ aria-label={showApiKey['voyage'] ? 'Hide Voyage AI API key' : 'Show Voyage AI API key'}
+ >
+ {showApiKey['voyage'] ? : }
+
+
+
+ Get your key from{' '}
+
+ Voyage AI
+
+
+
+ Embedding Model (optional)
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'voyage',
+ voyageEmbeddingModel: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ );
+ }
+
+ // Google AI
+ if (embeddingProvider === 'google') {
+ return (
+
+
Google AI API Key
+
+ Required for Google AI embeddings
+
+
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'google',
+ googleApiKey: e.target.value || undefined,
+ }
+ })}
+ placeholder="AIzaSy..."
+ className="pr-10"
+ />
+ toggleShowApiKey('google')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ aria-label={showApiKey['google'] ? 'Hide Google API key' : 'Show Google API key'}
+ >
+ {showApiKey['google'] ? : }
+
+
+
+ Get your key from{' '}
+
+ Google AI Studio
+
+
+
+ );
+ }
+
+ // Azure OpenAI
+ if (embeddingProvider === 'azure_openai') {
+ return (
+
+
Azure OpenAI Configuration
+
+
API Key
+
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiApiKey: e.target.value || undefined,
+ }
+ })}
+ placeholder="Azure API Key"
+ className="pr-10"
+ />
+ toggleShowApiKey('azure')}
+ className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
+ aria-label={showApiKey['azure'] ? 'Hide Azure OpenAI API key' : 'Show Azure OpenAI API key'}
+ >
+ {showApiKey['azure'] ? : }
+
+
+
+
+ Base URL
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiBaseUrl: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ Embedding Deployment Name
+ updateEnvConfig({
+ graphitiProviderConfig: {
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: 'azure_openai',
+ azureOpenaiEmbeddingDeployment: e.target.value || undefined,
+ }
+ })}
+ />
+
+
+ );
+ }
+
+ // Ollama (Local) - uses OllamaModelSelector component
+ if (embeddingProvider === 'ollama') {
+ return (
+
+
Select Embedding Model
+
+
+ );
+ }
+
+ return null;
+ };
+
return (
- Memory Backend
+ Memory
- {envConfig.graphitiEnabled ? 'Graphiti' : 'File-based'}
+ {envConfig.graphitiEnabled ? 'Enabled' : 'Disabled'}
{expanded ? (
@@ -78,9 +341,9 @@ export function SecuritySettings({
-
Use Graphiti (Recommended)
+
Enable Memory
- Persistent cross-session memory using FalkorDB graph database
+ Persistent cross-session memory using LadybugDB (embedded database)
Using file-based memory. Session insights are stored locally in JSON files.
- Enable Graphiti for persistent cross-session memory with semantic search.
+ Enable Memory for persistent cross-session context with semantic search.
)}
{envConfig.graphitiEnabled && (
<>
-
-
- Requires FalkorDB running. Start with:{' '}
- docker-compose up -d falkordb
-
-
-
{/* Graphiti MCP Server Toggle */}
@@ -130,75 +386,31 @@ export function SecuritySettings({
Graphiti MCP Server URL
- URL of the Graphiti MCP server (requires Docker container)
+ URL of the Graphiti MCP server for agent memory access
setSettings({ ...settings, graphitiMcpUrl: e.target.value || undefined })}
/>
-
-
- Start the MCP server with:{' '}
- docker run -d -p 8000:8000 falkordb/graphiti-knowledge-graph-mcp
-
-
)}
- {/* LLM Provider Selection */}
-
-
LLM Provider
-
- Provider for graph operations (extraction, search, reasoning)
-
-
{
- const currentConfig = envConfig.graphitiProviderConfig || {
- llmProvider: 'openai' as const,
- embeddingProvider: 'openai' as const
- };
- updateEnvConfig({
- graphitiProviderConfig: {
- ...currentConfig,
- llmProvider: value as 'openai' | 'anthropic' | 'azure_openai' | 'ollama' | 'google' | 'groq',
- }
- });
- }}
- >
-
-
-
-
- OpenAI (GPT-4o-mini)
- Anthropic (Claude)
- Google AI (Gemini)
- Azure OpenAI
- Ollama (Local)
-
-
-
-
{/* Embedding Provider Selection */}
Embedding Provider
- Provider for semantic search embeddings
+ Provider for semantic search (optional - keyword search works without)
{
- const currentConfig = envConfig.graphitiProviderConfig || {
- llmProvider: 'openai' as const,
- embeddingProvider: 'openai' as const
- };
+ value={embeddingProvider}
+ onValueChange={(value: GraphitiEmbeddingProvider) => {
updateEnvConfig({
graphitiProviderConfig: {
- ...currentConfig,
- embeddingProvider: value as 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google' | 'huggingface',
+ ...envConfig.graphitiProviderConfig,
+ embeddingProvider: value,
}
});
}}
@@ -207,104 +419,44 @@ export function SecuritySettings({
+ Ollama (Local - Free)
OpenAI
Voyage AI
Google AI
Azure OpenAI
- Ollama (Local)
+ {/* Provider-specific fields */}
+ {renderProviderFields()}
+
-
-
-
- OpenAI API Key {envConfig.openaiKeyIsGlobal ? '(Override)' : ''}
-
- {envConfig.openaiKeyIsGlobal && (
-
-
- Using global key
-
- )}
-
- {envConfig.openaiKeyIsGlobal ? (
-
- Using key from App Settings. Enter a project-specific key below to override.
-
- ) : (
-
- Required when using OpenAI as LLM or embedding provider
-
- )}
-
- updateEnvConfig({ openaiApiKey: e.target.value || undefined })}
- className="pr-10"
- />
- setShowOpenAIKey(!showOpenAIKey)}
- className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
- >
- {showOpenAIKey ? : }
-
-
-
-
-
-
-
-
FalkorDB Password (Optional)
-
- updateEnvConfig({ graphitiFalkorDbPassword: e.target.value })}
- className="pr-10"
- />
- setShowFalkorPassword(!showFalkorPassword)}
- className="absolute right-3 top-1/2 -translate-y-1/2 text-muted-foreground hover:text-foreground"
- >
- {showFalkorPassword ? : }
-
-
-
-
+ {/* Database Settings */}
Database Name
+
+ Stored in ~/.auto-claude/memories/
+
updateEnvConfig({ graphitiDatabase: e.target.value })}
/>
+
+
+
Database Path (Optional)
+
+ Custom storage location. Default: ~/.auto-claude/memories/
+
+
updateEnvConfig({ graphitiDbPath: e.target.value || undefined })}
+ />
+
>
)}
diff --git a/auto-claude-ui/src/renderer/components/project-settings/hooks/useProjectSettings.ts b/auto-claude-ui/src/renderer/components/project-settings/hooks/useProjectSettings.ts
index 33c2da30..5f4a5f50 100644
--- a/auto-claude-ui/src/renderer/components/project-settings/hooks/useProjectSettings.ts
+++ b/auto-claude-ui/src/renderer/components/project-settings/hooks/useProjectSettings.ts
@@ -44,8 +44,6 @@ export interface UseProjectSettingsReturn {
setShowLinearKey: React.Dispatch
>;
showOpenAIKey: boolean;
setShowOpenAIKey: React.Dispatch>;
- showFalkorPassword: boolean;
- setShowFalkorPassword: React.Dispatch>;
showGitHubToken: boolean;
setShowGitHubToken: React.Dispatch>;
@@ -97,7 +95,6 @@ export function useProjectSettings(
const [showClaudeToken, setShowClaudeToken] = useState(false);
const [showLinearKey, setShowLinearKey] = useState(false);
const [showOpenAIKey, setShowOpenAIKey] = useState(false);
- const [showFalkorPassword, setShowFalkorPassword] = useState(false);
// Collapsible sections
const [expandedSections, setExpandedSections] = useState>({
@@ -386,8 +383,6 @@ export function useProjectSettings(
setShowLinearKey,
showOpenAIKey,
setShowOpenAIKey,
- showFalkorPassword,
- setShowFalkorPassword,
showGitHubToken,
setShowGitHubToken,
expandedSections,
diff --git a/auto-claude-ui/src/renderer/components/settings/IntegrationSettings.tsx b/auto-claude-ui/src/renderer/components/settings/IntegrationSettings.tsx
index 8c51a164..68606e37 100644
--- a/auto-claude-ui/src/renderer/components/settings/IntegrationSettings.tsx
+++ b/auto-claude-ui/src/renderer/components/settings/IntegrationSettings.tsx
@@ -504,7 +504,7 @@ export function IntegrationSettings({ settings, onSettingsChange, isOpen }: Inte
Run claude setup-token to get your token
-
+
-
+
>;
showOpenAIKey: boolean;
setShowOpenAIKey: React.Dispatch>;
- showFalkorPassword: boolean;
- setShowFalkorPassword: React.Dispatch>;
showGitHubToken: boolean;
setShowGitHubToken: React.Dispatch>;
gitHubConnectionStatus: GitHubSyncStatus | null;
@@ -64,8 +62,6 @@ export function SectionRouter({
setShowLinearKey,
showOpenAIKey,
setShowOpenAIKey,
- showFalkorPassword,
- setShowFalkorPassword,
showGitHubToken,
setShowGitHubToken,
gitHubConnectionStatus,
@@ -178,13 +174,13 @@ export function SectionRouter({
case 'memory':
return (
{}}
/>
diff --git a/auto-claude-ui/src/renderer/components/settings/utils/hookProxyFactory.ts b/auto-claude-ui/src/renderer/components/settings/utils/hookProxyFactory.ts
index 59dc2f74..dcc071b6 100644
--- a/auto-claude-ui/src/renderer/components/settings/utils/hookProxyFactory.ts
+++ b/auto-claude-ui/src/renderer/components/settings/utils/hookProxyFactory.ts
@@ -33,8 +33,6 @@ export function createHookProxy(
get setShowLinearKey() { return hookRef.current.setShowLinearKey; },
get showOpenAIKey() { return hookRef.current.showOpenAIKey; },
get setShowOpenAIKey() { return hookRef.current.setShowOpenAIKey; },
- get showFalkorPassword() { return hookRef.current.showFalkorPassword; },
- get setShowFalkorPassword() { return hookRef.current.setShowFalkorPassword; },
get showGitHubToken() { return hookRef.current.showGitHubToken; },
get setShowGitHubToken() { return hookRef.current.setShowGitHubToken; },
get expandedSections() { return hookRef.current.expandedSections; },
diff --git a/auto-claude-ui/src/renderer/components/task-detail/TaskDetailModal.tsx b/auto-claude-ui/src/renderer/components/task-detail/TaskDetailModal.tsx
index 8e6510c5..b70166b3 100644
--- a/auto-claude-ui/src/renderer/components/task-detail/TaskDetailModal.tsx
+++ b/auto-claude-ui/src/renderer/components/task-detail/TaskDetailModal.tsx
@@ -248,8 +248,8 @@ function TaskDetailModalContent({ open, task, onOpenChange }: { open: boolean; t
{/* Header */}
-
-
+
+
{task.title}
@@ -298,7 +298,7 @@ function TaskDetailModalContent({ open, task, onOpenChange }: { open: boolean; t
-
+
(null);
const [isCheckingInfrastructure, setIsCheckingInfrastructure] = useState(false);
- const [isStartingFalkorDB, setIsStartingFalkorDB] = useState(false);
- const [isOpeningDocker, setIsOpeningDocker] = useState(false);
useEffect(() => {
const checkInfrastructure = async () => {
@@ -20,8 +22,7 @@ export function useInfrastructureStatus(
setIsCheckingInfrastructure(true);
try {
- const port = falkorDbPort || 6380;
- const result = await window.electronAPI.getInfrastructureStatus(port);
+ const result = await window.electronAPI.getMemoryInfrastructureStatus(dbPath);
if (result.success && result.data) {
setInfrastructureStatus(result.data);
}
@@ -41,57 +42,10 @@ export function useInfrastructureStatus(
return () => {
if (interval) clearInterval(interval);
};
- }, [graphitiEnabled, falkorDbPort, open]);
-
- const handleStartFalkorDB = async () => {
- setIsStartingFalkorDB(true);
- try {
- const port = falkorDbPort || 6380;
- const result = await window.electronAPI.startFalkorDB(port);
- if (result.success && result.data?.success) {
- // Refresh status after starting
- const statusResult = await window.electronAPI.getInfrastructureStatus(port);
- if (statusResult.success && statusResult.data) {
- setInfrastructureStatus(statusResult.data);
- }
- }
- } catch {
- // Error handling is implicit in the status check
- } finally {
- setIsStartingFalkorDB(false);
- }
- };
-
- const handleOpenDockerDesktop = async () => {
- setIsOpeningDocker(true);
- try {
- await window.electronAPI.openDockerDesktop();
- // Wait a bit then refresh status
- setTimeout(async () => {
- const port = falkorDbPort || 6380;
- const result = await window.electronAPI.getInfrastructureStatus(port);
- if (result.success && result.data) {
- setInfrastructureStatus(result.data);
- }
- setIsOpeningDocker(false);
- }, 3000);
- } catch {
- setIsOpeningDocker(false);
- }
- };
-
- const handleDownloadDocker = async () => {
- const url = await window.electronAPI.getDockerDownloadUrl();
- window.electronAPI.openExternal(url);
- };
+ }, [graphitiEnabled, dbPath, open]);
return {
infrastructureStatus,
isCheckingInfrastructure,
- isStartingFalkorDB,
- isOpeningDocker,
- handleStartFalkorDB,
- handleOpenDockerDesktop,
- handleDownloadDocker,
};
}
diff --git a/auto-claude-ui/src/renderer/lib/icons.ts b/auto-claude-ui/src/renderer/lib/icons.ts
new file mode 100644
index 00000000..a7cb51f8
--- /dev/null
+++ b/auto-claude-ui/src/renderer/lib/icons.ts
@@ -0,0 +1,149 @@
+/**
+ * Centralized Icon Exports
+ *
+ * This file serves as the single source of truth for all lucide-react icons used
+ * throughout the application. By consolidating imports here, we enable:
+ *
+ * 1. Better tracking of which icons are actually used
+ * 2. Potential code-splitting opportunities
+ * 3. Easier future migration to alternative icon solutions
+ * 4. Reduced bundle size through optimized tree-shaking
+ *
+ * Usage:
+ * import { AlertCircle, Check, X } from '@/lib/icons';
+ *
+ * When adding new icons:
+ * 1. Import the icon from 'lucide-react'
+ * 2. Add it to the export statement in alphabetical order
+ */
+
+export {
+ Activity,
+ AlertCircle,
+ AlertTriangle,
+ Archive,
+ ArrowLeft,
+ ArrowRight,
+ BarChart3,
+ Bell,
+ BookOpen,
+ Bot,
+ Box,
+ Brain,
+ Bug,
+ Calendar,
+ Check,
+ CheckCircle,
+ CheckCircle2,
+ CheckSquare,
+ ChevronDown,
+ ChevronRight,
+ ChevronUp,
+ Circle,
+ Clock,
+ CloudDownload,
+ Code,
+ Code2,
+ Cog,
+ Copy,
+ Cpu,
+ CreditCard,
+ Database,
+ Download,
+ ExternalLink,
+ Eye,
+ EyeOff,
+ File,
+ FileCode,
+ FileDown,
+ FileImage,
+ FileJson,
+ FileText,
+ Filter,
+ FlaskConical,
+ Folder,
+ FolderGit2,
+ FolderOpen,
+ FolderPlus,
+ FolderSearch,
+ FolderTree,
+ FolderX,
+ Gauge,
+ GitBranch,
+ GitCommit,
+ Github,
+ GitMerge,
+ Globe,
+ Grid2X2,
+ HardDrive,
+ HelpCircle,
+ History,
+ Image,
+ Import,
+ Inbox,
+ Info,
+ Key,
+ KeyRound,
+ Layers,
+ LayoutGrid,
+ Lightbulb,
+ ListChecks,
+ ListTodo,
+ Loader2,
+ Lock,
+ LogIn,
+ Mail,
+ Map,
+ MessageCircle,
+ MessageSquare,
+ Minus,
+ Monitor,
+ Moon,
+ MoreVertical,
+ Package,
+ Palette,
+ PanelLeft,
+ PanelLeftClose,
+ PartyPopper,
+ Pencil,
+ PenLine,
+ Play,
+ Plus,
+ Radio,
+ RefreshCw,
+ Rocket,
+ RotateCcw,
+ Route,
+ Save,
+ Scale,
+ Search,
+ Send,
+ Server,
+ Settings,
+ Settings2,
+ Shield,
+ Sliders,
+ Sparkles,
+ Square,
+ Star,
+ Sun,
+ Tag,
+ Target,
+ Terminal,
+ TerminalSquare,
+ ThumbsUp,
+ Trash2,
+ TrendingUp,
+ Upload,
+ User,
+ Users,
+ Wand2,
+ Wifi,
+ Wrench,
+ X,
+ XCircle,
+ Zap,
+} from 'lucide-react';
+
+// Re-export Image as ImageIcon for components that use this alias
+export { Image as ImageIcon } from 'lucide-react';
diff --git a/auto-claude-ui/src/renderer/lib/mocks/changelog-mock.ts b/auto-claude-ui/src/renderer/lib/mocks/changelog-mock.ts
index c0717a37..a9c25922 100644
--- a/auto-claude-ui/src/renderer/lib/mocks/changelog-mock.ts
+++ b/auto-claude-ui/src/renderer/lib/mocks/changelog-mock.ts
@@ -46,6 +46,11 @@ export const changelogMock = {
}
}),
+ readLocalImage: async () => ({
+ success: false,
+ error: 'Mock: Cannot read local images in browser mode'
+ }),
+
readExistingChangelog: async () => ({
success: true,
data: {
diff --git a/auto-claude-ui/src/renderer/lib/mocks/infrastructure-mock.ts b/auto-claude-ui/src/renderer/lib/mocks/infrastructure-mock.ts
index 188b0a37..91c3893c 100644
--- a/auto-claude-ui/src/renderer/lib/mocks/infrastructure-mock.ts
+++ b/auto-claude-ui/src/renderer/lib/mocks/infrastructure-mock.ts
@@ -1,60 +1,43 @@
/**
- * Mock implementation for infrastructure, Docker, and system operations
+ * Mock implementation for infrastructure and system operations
+ * Updated for LadybugDB (embedded database, no Docker required)
*/
export const infrastructureMock = {
- // Docker & Infrastructure Operations
- getInfrastructureStatus: async () => ({
+ // Memory Infrastructure Operations (LadybugDB)
+ getMemoryInfrastructureStatus: async () => ({
success: true,
data: {
- docker: {
- installed: true,
- running: true,
- version: 'Docker version 24.0.0 (mock)'
- },
- falkordb: {
- containerExists: true,
- containerRunning: true,
- containerName: 'auto-claude-falkordb',
- port: 6380,
- healthy: true
+ memory: {
+ kuzuInstalled: true,
+ databasePath: '~/.auto-claude/graphs',
+ databaseExists: true,
+ databases: ['auto_claude_memory']
},
ready: true
}
}),
- startFalkorDB: async () => ({
+ listMemoryDatabases: async () => ({
success: true,
- data: { success: true }
+ data: ['auto_claude_memory', 'project_memory']
}),
- stopFalkorDB: async () => ({
- success: true,
- data: { success: true }
- }),
-
- openDockerDesktop: async () => ({
- success: true,
- data: { success: true }
- }),
-
- getDockerDownloadUrl: async () => 'https://www.docker.com/products/docker-desktop/',
-
- // Graphiti Validation Operations
- validateFalkorDBConnection: async () => ({
+ testMemoryConnection: async () => ({
success: true,
data: {
success: true,
- message: 'Connected to FalkorDB at localhost:6380 (mock)',
- details: { latencyMs: 15 }
+ message: 'Connected to LadybugDB database (mock)',
+ details: { latencyMs: 5 }
}
}),
- validateOpenAIApiKey: async () => ({
+ // LLM API Validation Operations
+ validateLLMApiKey: async () => ({
success: true,
data: {
success: true,
- message: 'OpenAI API key is valid (mock)',
+ message: 'API key is valid (mock)',
details: { provider: 'openai', latencyMs: 100 }
}
}),
@@ -62,20 +45,60 @@ export const infrastructureMock = {
testGraphitiConnection: async () => ({
success: true,
data: {
- falkordb: {
+ database: {
success: true,
- message: 'Connected to FalkorDB at localhost:6380 (mock)',
- details: { latencyMs: 15 }
+ message: 'Connected to LadybugDB database (mock)',
+ details: { latencyMs: 5 }
},
- openai: {
+ llmProvider: {
success: true,
- message: 'OpenAI API key is valid (mock)',
+ message: 'LLM API key is valid (mock)',
details: { provider: 'openai', latencyMs: 100 }
},
ready: true
}
}),
+ // Ollama Model Detection Operations
+ checkOllamaStatus: async () => ({
+ success: true,
+ data: {
+ running: true,
+ url: 'http://localhost:11434',
+ version: '0.1.0',
+ }
+ }),
+
+ listOllamaModels: async () => ({
+ success: true,
+ data: {
+ models: [
+ { name: 'llama2', size_bytes: 4000000000, size_gb: 3.73, modified_at: '2024-01-01', is_embedding: false },
+ { name: 'nomic-embed-text', size_bytes: 500000000, size_gb: 0.47, modified_at: '2024-01-01', is_embedding: true, embedding_dim: 768, description: 'Nomic AI text embeddings' },
+ ],
+ count: 2
+ }
+ }),
+
+ listOllamaEmbeddingModels: async () => ({
+ success: true,
+ data: {
+ embedding_models: [
+ { name: 'nomic-embed-text', embedding_dim: 768, description: 'Nomic AI text embeddings', size_bytes: 500000000, size_gb: 0.47 },
+ ],
+ count: 1
+ }
+ }),
+
+ pullOllamaModel: async (modelName: string) => ({
+ success: true,
+ data: {
+ model: modelName,
+ status: 'completed' as const,
+ output: [`Pulling ${modelName}...`, 'Pull complete']
+ }
+ }),
+
// Ideation Operations
getIdeation: async () => ({
success: true,
diff --git a/auto-claude-ui/src/renderer/lib/mocks/integration-mock.ts b/auto-claude-ui/src/renderer/lib/mocks/integration-mock.ts
index fcc49111..d6fe5b46 100644
--- a/auto-claude-ui/src/renderer/lib/mocks/integration-mock.ts
+++ b/auto-claude-ui/src/renderer/lib/mocks/integration-mock.ts
@@ -188,5 +188,25 @@ export const integrationMock = {
getGitHubBranches: async () => ({
success: true,
data: ['main', 'develop', 'feature/example']
+ }),
+
+ createGitHubRepo: async (_repoName: string, _options: { description?: string; isPrivate?: boolean; projectPath: string; owner?: string }) => ({
+ success: false,
+ error: 'Not available in browser mock'
+ }),
+
+ addGitRemote: async (_projectPath: string, _repoFullName: string) => ({
+ success: false,
+ error: 'Not available in browser mock'
+ }),
+
+ listGitHubOrgs: async () => ({
+ success: true,
+ data: {
+ orgs: [
+ { login: 'example-org', avatarUrl: 'https://avatars.githubusercontent.com/u/1?v=4' },
+ { login: 'another-org', avatarUrl: 'https://avatars.githubusercontent.com/u/2?v=4' }
+ ]
+ }
})
};
diff --git a/auto-claude-ui/src/renderer/lib/mocks/project-mock.ts b/auto-claude-ui/src/renderer/lib/mocks/project-mock.ts
index 13926a44..38f63bd8 100644
--- a/auto-claude-ui/src/renderer/lib/mocks/project-mock.ts
+++ b/auto-claude-ui/src/renderer/lib/mocks/project-mock.ts
@@ -48,6 +48,18 @@ export const projectMock = {
}
}),
+ // Tab state operations (persisted in main process)
+ getTabState: async () => ({
+ success: true,
+ data: {
+ openProjectIds: [],
+ activeProjectId: null,
+ tabOrder: []
+ }
+ }),
+
+ saveTabState: async () => ({ success: true }),
+
// Dialog operations
selectDirectory: async () => {
return prompt('Enter project path (browser mock):', '/Users/demo/projects/new-project');
diff --git a/auto-claude-ui/src/renderer/stores/project-store.ts b/auto-claude-ui/src/renderer/stores/project-store.ts
index 5602a408..1aecf74c 100644
--- a/auto-claude-ui/src/renderer/stores/project-store.ts
+++ b/auto-claude-ui/src/renderer/stores/project-store.ts
@@ -1,15 +1,23 @@
import { create } from 'zustand';
import type { Project, ProjectSettings, AutoBuildVersionInfo, InitializationResult } from '../../shared/types';
-// localStorage key for persisting the last selected project
+// localStorage keys for persisting project state (legacy - now using IPC)
const LAST_SELECTED_PROJECT_KEY = 'lastSelectedProjectId';
+// Debounce timer for saving tab state
+let saveTabStateTimeout: ReturnType | null = null;
+
interface ProjectState {
projects: Project[];
selectedProjectId: string | null;
isLoading: boolean;
error: string | null;
+ // Tab state
+ openProjectIds: string[]; // Array of open project IDs
+ activeProjectId: string | null; // Currently active tab
+ tabOrder: string[]; // Order of tabs for drag and drop
+
// Actions
setProjects: (projects: Project[]) => void;
addProject: (project: Project) => void;
@@ -19,8 +27,18 @@ interface ProjectState {
setLoading: (loading: boolean) => void;
setError: (error: string | null) => void;
+ // Tab management actions
+ openProjectTab: (projectId: string) => void;
+ closeProjectTab: (projectId: string) => void;
+ setActiveProject: (projectId: string | null) => void;
+ reorderTabs: (fromIndex: number, toIndex: number) => void;
+ restoreTabState: () => void;
+
// Selectors
getSelectedProject: () => Project | undefined;
+ getOpenProjects: () => Project[];
+ getActiveProject: () => Project | undefined;
+ getProjectTabs: () => Project[];
}
export const useProjectStore = create((set, get) => ({
@@ -29,6 +47,11 @@ export const useProjectStore = create((set, get) => ({
isLoading: false,
error: null,
+ // Tab state - initialized empty, loaded via IPC from main process for reliability
+ openProjectIds: [],
+ activeProjectId: null,
+ tabOrder: [],
+
setProjects: (projects) => set({ projects }),
addProject: (project) =>
@@ -70,12 +93,144 @@ export const useProjectStore = create((set, get) => ({
setError: (error) => set({ error }),
+ // Tab management actions
+ openProjectTab: (projectId) => {
+ const state = get();
+ console.log('[ProjectStore] openProjectTab called:', {
+ projectId,
+ currentOpenProjectIds: state.openProjectIds,
+ currentTabOrder: state.tabOrder
+ });
+ if (!state.openProjectIds.includes(projectId)) {
+ const newOpenProjectIds = [...state.openProjectIds, projectId];
+ const newTabOrder = state.tabOrder.includes(projectId)
+ ? state.tabOrder
+ : [...state.tabOrder, projectId];
+
+ console.log('[ProjectStore] Adding new tab:', {
+ newOpenProjectIds,
+ newTabOrder
+ });
+
+ set({
+ openProjectIds: newOpenProjectIds,
+ tabOrder: newTabOrder,
+ activeProjectId: projectId
+ });
+
+ // Save to main process (debounced)
+ saveTabStateToMain();
+ } else {
+ console.log('[ProjectStore] Project already open, just activating');
+ // Project already open, just make it active
+ get().setActiveProject(projectId);
+ }
+ },
+
+ closeProjectTab: (projectId) => {
+ const state = get();
+ const newOpenProjectIds = state.openProjectIds.filter(id => id !== projectId);
+ const newTabOrder = state.tabOrder.filter(id => id !== projectId);
+
+ // If closing the active project, select another one or null
+ let newActiveProjectId = state.activeProjectId;
+ if (state.activeProjectId === projectId) {
+ const remainingTabs = newTabOrder.length > 0 ? newTabOrder : [];
+ newActiveProjectId = remainingTabs.length > 0 ? remainingTabs[0] : null;
+ }
+
+ set({
+ openProjectIds: newOpenProjectIds,
+ tabOrder: newTabOrder,
+ activeProjectId: newActiveProjectId
+ });
+
+ // Save to main process (debounced)
+ saveTabStateToMain();
+ },
+
+ setActiveProject: (projectId) => {
+ set({ activeProjectId: projectId });
+ // Also update selectedProjectId for backward compatibility
+ get().selectProject(projectId);
+ // Save to main process (debounced)
+ saveTabStateToMain();
+ },
+
+ reorderTabs: (fromIndex, toIndex) => {
+ const state = get();
+ const newTabOrder = [...state.tabOrder];
+ const [movedTab] = newTabOrder.splice(fromIndex, 1);
+ newTabOrder.splice(toIndex, 0, movedTab);
+
+ set({ tabOrder: newTabOrder });
+ // Save to main process (debounced)
+ saveTabStateToMain();
+ },
+
+ restoreTabState: () => {
+ // This is now handled by loadTabStateFromMain() called during loadProjects()
+ console.log('[ProjectStore] restoreTabState called - now handled by IPC');
+ },
+
+
+ // Original selectors
getSelectedProject: () => {
const state = get();
return state.projects.find((p) => p.id === state.selectedProjectId);
+ },
+
+ // New selectors for tab functionality
+ getOpenProjects: () => {
+ const state = get();
+ return state.projects.filter((p) => state.openProjectIds.includes(p.id));
+ },
+
+ getActiveProject: () => {
+ const state = get();
+ return state.projects.find((p) => p.id === state.activeProjectId);
+ },
+
+ getProjectTabs: () => {
+ const state = get();
+ const orderedProjects = state.tabOrder
+ .map(id => state.projects.find(p => p.id === id))
+ .filter(Boolean) as Project[];
+
+ // Add any open projects not in tabOrder to the end
+ const remainingProjects = state.projects
+ .filter(p => state.openProjectIds.includes(p.id) && !state.tabOrder.includes(p.id));
+
+ return [...orderedProjects, ...remainingProjects];
}
}));
+/**
+ * Save tab state to main process (debounced to avoid excessive IPC calls)
+ */
+function saveTabStateToMain(): void {
+ // Clear any pending save
+ if (saveTabStateTimeout) {
+ clearTimeout(saveTabStateTimeout);
+ }
+
+ // Debounce saves to avoid excessive IPC calls
+ saveTabStateTimeout = setTimeout(async () => {
+ const store = useProjectStore.getState();
+ const tabState = {
+ openProjectIds: store.openProjectIds,
+ activeProjectId: store.activeProjectId,
+ tabOrder: store.tabOrder
+ };
+ console.log('[ProjectStore] Saving tab state to main process:', tabState);
+ try {
+ await window.electronAPI.saveTabState(tabState);
+ } catch (err) {
+ console.error('[ProjectStore] Failed to save tab state:', err);
+ }
+ }, 100);
+}
+
/**
* Load projects from main process
*/
@@ -85,17 +240,80 @@ export async function loadProjects(): Promise {
store.setError(null);
try {
+ // First, load tab state from main process (reliable persistence)
+ const tabStateResult = await window.electronAPI.getTabState();
+ console.log('[ProjectStore] Loaded tab state from main process:', tabStateResult.data);
+
+ if (tabStateResult.success && tabStateResult.data) {
+ useProjectStore.setState({
+ openProjectIds: tabStateResult.data.openProjectIds || [],
+ activeProjectId: tabStateResult.data.activeProjectId || null,
+ tabOrder: tabStateResult.data.tabOrder || []
+ });
+ }
+
+ // Then load projects
const result = await window.electronAPI.getProjects();
+ console.log('[ProjectStore] getProjects result:', {
+ success: result.success,
+ projectCount: result.data?.length,
+ projectIds: result.data?.map(p => p.id)
+ });
+
if (result.success && result.data) {
store.setProjects(result.data);
- // Restore last selected project from localStorage, or fall back to first project
- if (!store.selectedProjectId && result.data.length > 0) {
+ // Get current tab state (may have been loaded from IPC)
+ const currentState = useProjectStore.getState();
+
+ // Clean up tab state - remove any project IDs that no longer exist
+ const validOpenProjectIds = currentState.openProjectIds.filter(id =>
+ result.data?.some((p) => p.id === id) ?? false
+ );
+ const validTabOrder = currentState.tabOrder.filter(id =>
+ result.data?.some((p) => p.id === id) ?? false
+ );
+ const validActiveProjectId = currentState.activeProjectId &&
+ result.data?.some((p) => p.id === currentState.activeProjectId)
+ ? currentState.activeProjectId
+ : null;
+
+ console.log('[ProjectStore] Tab state cleanup:', {
+ originalOpenProjectIds: currentState.openProjectIds,
+ validOpenProjectIds,
+ originalTabOrder: currentState.tabOrder,
+ validTabOrder,
+ originalActiveProjectId: currentState.activeProjectId,
+ validActiveProjectId
+ });
+
+ // Update store with cleaned tab state if needed
+ if (validOpenProjectIds.length !== currentState.openProjectIds.length ||
+ validTabOrder.length !== currentState.tabOrder.length ||
+ validActiveProjectId !== currentState.activeProjectId) {
+ console.log('[ProjectStore] Updating cleaned tab state');
+ useProjectStore.setState({
+ openProjectIds: validOpenProjectIds,
+ tabOrder: validTabOrder,
+ activeProjectId: validActiveProjectId
+ });
+ // Save cleaned state back to main process
+ saveTabStateToMain();
+ } else {
+ console.log('[ProjectStore] Tab state is valid, no cleanup needed');
+ }
+
+ // Restore last selected project from localStorage for backward compatibility,
+ // or fall back to active project, or first project
+ const updatedState = useProjectStore.getState();
+ if (!updatedState.selectedProjectId && result.data.length > 0) {
const lastSelectedId = localStorage.getItem(LAST_SELECTED_PROJECT_KEY);
const projectExists = lastSelectedId && result.data.some((p) => p.id === lastSelectedId);
if (projectExists) {
store.selectProject(lastSelectedId);
+ } else if (updatedState.activeProjectId) {
+ store.selectProject(updatedState.activeProjectId);
} else {
store.selectProject(result.data[0].id);
}
@@ -121,6 +339,8 @@ export async function addProject(projectPath: string): Promise {
if (result.success && result.data) {
store.addProject(result.data);
store.selectProject(result.data.id);
+ // Also open a tab for the new project
+ store.openProjectTab(result.data.id);
return result.data;
} else {
store.setError(result.error || 'Failed to add project');
@@ -142,6 +362,10 @@ export async function removeProject(projectId: string): Promise {
const result = await window.electronAPI.removeProject(projectId);
if (result.success) {
store.removeProject(projectId);
+ // Also close the tab if it's open
+ if (store.openProjectIds.includes(projectId)) {
+ store.closeProjectTab(projectId);
+ }
return true;
}
return false;
diff --git a/auto-claude-ui/src/renderer/stores/release-store.ts b/auto-claude-ui/src/renderer/stores/release-store.ts
index 52b96784..f3e8fcf7 100644
--- a/auto-claude-ui/src/renderer/stores/release-store.ts
+++ b/auto-claude-ui/src/renderer/stores/release-store.ts
@@ -64,7 +64,7 @@ export const useReleaseStore = create((set) => ({
setReleaseableVersions: (versions) => set({ releaseableVersions: versions }),
setIsLoadingVersions: (loading) => set({ isLoadingVersions: loading }),
- setSelectedVersion: (version) => set({
+ setSelectedVersion: (version) => set({
selectedVersion: version,
// Reset preflight when version changes
preflightStatus: null,
@@ -97,7 +97,7 @@ export async function loadReleaseableVersions(projectId: string): Promise
const result = await window.electronAPI.getReleaseableVersions(projectId);
if (result.success && result.data) {
store.setReleaseableVersions(result.data);
-
+
// Auto-select first unreleased version if none selected
if (!store.selectedVersion) {
const firstUnreleased = result.data.find((v: ReleaseableVersion) => !v.isReleased);
@@ -121,7 +121,7 @@ export async function loadReleaseableVersions(projectId: string): Promise
export async function runPreflightCheck(projectId: string): Promise {
const store = useReleaseStore.getState();
const version = store.selectedVersion;
-
+
if (!version) {
store.setError('No version selected');
return;
@@ -150,7 +150,7 @@ export async function runPreflightCheck(projectId: string): Promise {
export function createRelease(projectId: string): void {
const store = useReleaseStore.getState();
const version = store.selectedVersion;
-
+
if (!version) {
store.setError('No version selected');
return;
@@ -211,5 +211,3 @@ export function canCreateRelease(): boolean {
!store.isCreatingRelease
);
}
-
-
diff --git a/auto-claude-ui/src/renderer/stores/task-store.ts b/auto-claude-ui/src/renderer/stores/task-store.ts
index 7b3a04dc..5500a537 100644
--- a/auto-claude-ui/src/renderer/stores/task-store.ts
+++ b/auto-claude-ui/src/renderer/stores/task-store.ts
@@ -339,8 +339,8 @@ export async function recoverStuckTask(
if (result.success && result.data) {
// Update local state
store.updateTaskStatus(taskId, result.data.newStatus);
- return {
- success: true,
+ return {
+ success: true,
message: result.data.message,
autoRestarted: result.data.autoRestarted
};
diff --git a/auto-claude-ui/src/shared/constants/ipc.ts b/auto-claude-ui/src/shared/constants/ipc.ts
index 48c5f4f8..99fa257e 100644
--- a/auto-claude-ui/src/shared/constants/ipc.ts
+++ b/auto-claude-ui/src/shared/constants/ipc.ts
@@ -13,6 +13,10 @@ export const IPC_CHANNELS = {
PROJECT_UPDATE_AUTOBUILD: 'project:updateAutoBuild',
PROJECT_CHECK_VERSION: 'project:checkVersion',
+ // Tab state operations (persisted in main process)
+ TAB_STATE_GET: 'tabState:get',
+ TAB_STATE_SAVE: 'tabState:save',
+
// Task operations
TASK_LIST: 'task:list',
TASK_CREATE: 'task:create',
@@ -192,24 +196,31 @@ export const IPC_CHANNELS = {
GITHUB_LIST_USER_REPOS: 'github:listUserRepos',
GITHUB_DETECT_REPO: 'github:detectRepo',
GITHUB_GET_BRANCHES: 'github:getBranches',
+ GITHUB_CREATE_REPO: 'github:createRepo',
+ GITHUB_ADD_REMOTE: 'github:addRemote',
+ GITHUB_LIST_ORGS: 'github:listOrgs',
// GitHub events (main -> renderer)
GITHUB_INVESTIGATION_PROGRESS: 'github:investigationProgress',
GITHUB_INVESTIGATION_COMPLETE: 'github:investigationComplete',
GITHUB_INVESTIGATION_ERROR: 'github:investigationError',
- // Docker & Infrastructure status
- DOCKER_STATUS: 'docker:status',
- DOCKER_START_FALKORDB: 'docker:startFalkordb',
- DOCKER_STOP_FALKORDB: 'docker:stopFalkordb',
- DOCKER_OPEN_DESKTOP: 'docker:openDesktop',
- DOCKER_GET_DOWNLOAD_URL: 'docker:getDownloadUrl',
+ // Memory Infrastructure status (LadybugDB - no Docker required)
+ MEMORY_STATUS: 'memory:status',
+ MEMORY_LIST_DATABASES: 'memory:listDatabases',
+ MEMORY_TEST_CONNECTION: 'memory:testConnection',
// Graphiti validation
- GRAPHITI_VALIDATE_FALKORDB: 'graphiti:validateFalkordb',
- GRAPHITI_VALIDATE_OPENAI: 'graphiti:validateOpenai',
+ GRAPHITI_VALIDATE_LLM: 'graphiti:validateLlm',
GRAPHITI_TEST_CONNECTION: 'graphiti:testConnection',
+ // Ollama model detection and management
+ OLLAMA_CHECK_STATUS: 'ollama:checkStatus',
+ OLLAMA_LIST_MODELS: 'ollama:listModels',
+ OLLAMA_LIST_EMBEDDING_MODELS: 'ollama:listEmbeddingModels',
+ OLLAMA_PULL_MODEL: 'ollama:pullModel',
+ OLLAMA_PULL_PROGRESS: 'ollama:pullProgress',
+
// Auto Claude source updates
AUTOBUILD_SOURCE_CHECK: 'autobuild:source:check',
AUTOBUILD_SOURCE_DOWNLOAD: 'autobuild:source:download',
@@ -235,6 +246,7 @@ export const IPC_CHANNELS = {
CHANGELOG_GET_TAGS: 'changelog:getTags',
CHANGELOG_GET_COMMITS_PREVIEW: 'changelog:getCommitsPreview',
CHANGELOG_SAVE_IMAGE: 'changelog:saveImage',
+ CHANGELOG_READ_LOCAL_IMAGE: 'changelog:readLocalImage',
// Changelog events (main -> renderer)
CHANGELOG_GENERATION_PROGRESS: 'changelog:generationProgress',
diff --git a/auto-claude-ui/src/shared/constants/models.ts b/auto-claude-ui/src/shared/constants/models.ts
index a699f891..f5b49177 100644
--- a/auto-claude-ui/src/shared/constants/models.ts
+++ b/auto-claude-ui/src/shared/constants/models.ts
@@ -135,5 +135,5 @@ export const DEFAULT_AGENT_PROFILES: AgentProfile[] = [
export const MEMORY_BACKENDS = [
{ value: 'file', label: 'File-based (default)' },
- { value: 'graphiti', label: 'Graphiti (FalkorDB)' }
+ { value: 'graphiti', label: 'Graphiti (LadybugDB)' }
] as const;
diff --git a/auto-claude-ui/src/shared/types/ipc.ts b/auto-claude-ui/src/shared/types/ipc.ts
index 723ab6e2..2bcf262c 100644
--- a/auto-claude-ui/src/shared/types/ipc.ts
+++ b/auto-claude-ui/src/shared/types/ipc.ts
@@ -109,6 +109,13 @@ import type {
} from './integrations';
// Electron API exposed via contextBridge
+// Tab state interface (persisted in main process)
+export interface TabState {
+ openProjectIds: string[];
+ activeProjectId: string | null;
+ tabOrder: string[];
+}
+
export interface ElectronAPI {
// Project operations
addProject: (projectPath: string) => Promise>;
@@ -119,6 +126,10 @@ export interface ElectronAPI {
updateProjectAutoBuild: (projectId: string) => Promise>;
checkProjectVersion: (projectId: string) => Promise>;
+ // Tab State (persisted in main process for reliability)
+ getTabState: () => Promise>;
+ saveTabState: (tabState: TabState) => Promise;
+
// Task operations
getTasks: (projectId: string) => Promise>;
createTask: (projectId: string, title: string, description: string, metadata?: TaskMetadata) => Promise>;
@@ -279,20 +290,19 @@ export interface ElectronAPI {
checkClaudeAuth: (projectId: string) => Promise>;
invokeClaudeSetup: (projectId: string) => Promise>;
- // Docker & Infrastructure operations (for Graphiti/FalkorDB)
- getInfrastructureStatus: (port?: number) => Promise>;
- startFalkorDB: (port?: number) => Promise>;
- stopFalkorDB: () => Promise>;
- openDockerDesktop: () => Promise>;
- getDockerDownloadUrl: () => Promise;
+ // Memory Infrastructure operations (LadybugDB - no Docker required)
+ getMemoryInfrastructureStatus: (dbPath?: string) => Promise>;
+ listMemoryDatabases: (dbPath?: string) => Promise>;
+ testMemoryConnection: (dbPath?: string, database?: string) => Promise>;
// Graphiti validation operations
- validateFalkorDBConnection: (uri: string) => Promise>;
- validateOpenAIApiKey: (apiKey: string) => Promise>;
- testGraphitiConnection: (
- falkorDbUri: string,
- openAiApiKey: string
- ) => Promise>;
+ validateLLMApiKey: (provider: string, apiKey: string) => Promise>;
+ testGraphitiConnection: (config: {
+ dbPath?: string;
+ database?: string;
+ llmProvider: string;
+ apiKey: string;
+ }) => Promise>;
// Linear integration operations
getLinearTeams: (projectId: string) => Promise>;
@@ -332,6 +342,15 @@ export interface ElectronAPI {
listGitHubUserRepos: () => Promise }>>;
detectGitHubRepo: (projectPath: string) => Promise>;
getGitHubBranches: (repo: string, token: string) => Promise>;
+ createGitHubRepo: (
+ repoName: string,
+ options: { description?: string; isPrivate?: boolean; projectPath: string; owner?: string }
+ ) => Promise>;
+ addGitRemote: (
+ projectPath: string,
+ repoFullName: string
+ ) => Promise>;
+ listGitHubOrgs: () => Promise }>>;
// GitHub event listeners
onGitHubInvestigationProgress: (
@@ -458,6 +477,10 @@ export interface ElectronAPI {
imageData: string,
filename: string
) => Promise>;
+ readLocalImage: (
+ projectPath: string,
+ relativePath: string
+ ) => Promise>;
// Changelog event listeners
onChangelogGenerationProgress: (
@@ -520,6 +543,41 @@ export interface ElectronAPI {
detectMainBranch: (projectPath: string) => Promise>;
checkGitStatus: (projectPath: string) => Promise>;
initializeGit: (projectPath: string) => Promise>;
+
+ // Ollama model detection operations
+ checkOllamaStatus: (baseUrl?: string) => Promise>;
+ listOllamaModels: (baseUrl?: string) => Promise;
+ count: number;
+ }>>;
+ listOllamaEmbeddingModels: (baseUrl?: string) => Promise;
+ count: number;
+ }>>;
+ pullOllamaModel: (modelName: string, baseUrl?: string) => Promise>;
}
declare global {
diff --git a/auto-claude-ui/src/shared/types/project.ts b/auto-claude-ui/src/shared/types/project.ts
index 38836a73..75aa5a46 100644
--- a/auto-claude-ui/src/shared/types/project.ts
+++ b/auto-claude-ui/src/shared/types/project.ts
@@ -139,33 +139,23 @@ export interface ConventionsInfo {
export interface GraphitiMemoryStatus {
enabled: boolean;
available: boolean;
- host?: string;
- port?: number;
database?: string;
+ dbPath?: string;
reason?: string;
}
-// Docker & Infrastructure Types
-export interface DockerStatus {
- installed: boolean;
- running: boolean;
- version?: string;
- error?: string;
-}
-
-export interface FalkorDBStatus {
- containerExists: boolean;
- containerRunning: boolean;
- containerName: string;
- port: number;
- healthy: boolean;
+// Memory Infrastructure Types
+export interface MemoryDatabaseStatus {
+ kuzuInstalled: boolean;
+ databasePath: string;
+ databaseExists: boolean;
+ databases: string[];
error?: string;
}
export interface InfrastructureStatus {
- docker: DockerStatus;
- falkordb: FalkorDBStatus;
- ready: boolean; // True if both Docker is running and FalkorDB is healthy
+ memory: MemoryDatabaseStatus;
+ ready: boolean; // True if memory database is available
}
// Graphiti Validation Types
@@ -180,71 +170,50 @@ export interface GraphitiValidationResult {
}
export interface GraphitiConnectionTestResult {
- falkordb: GraphitiValidationResult;
- openai: GraphitiValidationResult;
+ database: GraphitiValidationResult;
+ llmProvider: GraphitiValidationResult;
ready: boolean;
}
-// Graphiti Provider Types (Memory System V2)
-// LLM Providers: OpenAI, Anthropic, Azure OpenAI, Ollama (local), Google, Groq
-export type GraphitiLLMProvider = 'openai' | 'anthropic' | 'azure_openai' | 'ollama' | 'google' | 'groq';
-// Embedding Providers: OpenAI, Voyage AI, Azure OpenAI, Ollama (local), Google, HuggingFace
-export type GraphitiEmbeddingProvider = 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google' | 'huggingface';
+// Memory Provider Types
+// Embedding Providers: OpenAI, Voyage AI, Azure OpenAI, Ollama (local), Google
+// Note: LLM provider removed - Claude SDK handles RAG queries
+export type GraphitiEmbeddingProvider = 'openai' | 'voyage' | 'azure_openai' | 'ollama' | 'google';
-// Legacy type alias for backward compatibility
+// Legacy type aliases for backward compatibility
+export type GraphitiLLMProvider = 'openai' | 'anthropic' | 'azure_openai' | 'ollama' | 'google' | 'groq';
export type GraphitiProviderType = GraphitiLLMProvider;
export interface GraphitiProviderConfig {
- // LLM Provider
- llmProvider: GraphitiLLMProvider;
- llmModel?: string; // Model name, uses provider default if not specified
-
- // Embedding Provider
+ // Embedding Provider (LLM provider removed - Claude SDK handles RAG)
embeddingProvider: GraphitiEmbeddingProvider;
embeddingModel?: string; // Embedding model, uses provider default if not specified
- // OpenAI settings
+ // OpenAI Embeddings
openaiApiKey?: string;
- openaiModel?: string;
openaiEmbeddingModel?: string;
- // Anthropic settings (LLM only - needs separate embedder)
- anthropicApiKey?: string;
- anthropicModel?: string;
-
- // Azure OpenAI settings
+ // Azure OpenAI Embeddings
azureOpenaiApiKey?: string;
azureOpenaiBaseUrl?: string;
- azureOpenaiLlmDeployment?: string;
azureOpenaiEmbeddingDeployment?: string;
- // Voyage AI settings (embeddings only - commonly used with Anthropic)
+ // Voyage AI Embeddings
voyageApiKey?: string;
voyageEmbeddingModel?: string;
- // Google AI settings (LLM and embeddings)
+ // Google AI Embeddings
googleApiKey?: string;
- googleLlmModel?: string;
googleEmbeddingModel?: string;
- // Ollama settings (local LLM, no API key required)
+ // Ollama Embeddings (local, no API key required)
ollamaBaseUrl?: string; // Default: http://localhost:11434
- ollamaLlmModel?: string;
ollamaEmbeddingModel?: string;
ollamaEmbeddingDim?: number;
- // Groq settings
- groqApiKey?: string;
- groqModel?: string;
-
- // HuggingFace settings (embeddings only)
- huggingfaceApiKey?: string;
- huggingfaceEmbeddingModel?: string;
-
- // FalkorDB connection (required for all providers)
- falkorDbHost?: string;
- falkorDbPort?: number;
- falkorDbPassword?: string;
+ // LadybugDB settings (embedded database - no Docker required)
+ database?: string; // Database name (default: auto_claude_memory)
+ dbPath?: string; // Database storage path (default: ~/.auto-claude/memories)
}
export interface GraphitiProviderInfo {
@@ -268,7 +237,7 @@ export interface GraphitiMemoryState {
export interface MemoryEpisode {
id: string;
- type: 'session_insight' | 'codebase_discovery' | 'codebase_map' | 'pattern' | 'gotcha';
+ type: 'session_insight' | 'codebase_discovery' | 'codebase_map' | 'pattern' | 'gotcha' | 'task_outcome';
timestamp: string;
content: string;
session_number?: number;
@@ -318,16 +287,15 @@ export interface ProjectEnvConfig {
defaultBranch?: string; // Base branch for worktree creation (e.g., 'main', 'develop')
// Graphiti Memory Integration (V2 - Multi-provider support)
+ // Uses LadybugDB embedded database (no Docker required, Python 3.12+)
graphitiEnabled: boolean;
- graphitiProviderConfig?: GraphitiProviderConfig; // New V2 provider configuration
+ graphitiProviderConfig?: GraphitiProviderConfig; // Provider configuration
// Legacy fields (still supported for backward compatibility)
openaiApiKey?: string;
// Indicates if the OpenAI key is from global settings (not project-specific)
openaiKeyIsGlobal?: boolean;
- graphitiFalkorDbHost?: string;
- graphitiFalkorDbPort?: number;
- graphitiFalkorDbPassword?: string;
graphitiDatabase?: string;
+ graphitiDbPath?: string;
// UI Settings
enableFancyUi: boolean;
diff --git a/auto-claude/.env.example b/auto-claude/.env.example
index 08264c85..8ce6af28 100644
--- a/auto-claude/.env.example
+++ b/auto-claude/.env.example
@@ -117,25 +117,36 @@
# ELECTRON_DEBUG_PORT=9222
# =============================================================================
-# GRAPHITI MEMORY INTEGRATION V2 (OPTIONAL)
+# GRAPHITI MEMORY INTEGRATION (OPTIONAL)
# =============================================================================
# Enable Graphiti-based persistent memory layer for cross-session context
-# retention. Uses FalkorDB as the graph database backend.
+# retention. Uses LadybugDB as the embedded graph database.
#
-# V2 supports multiple LLM and embedder providers:
+# REQUIREMENTS:
+# - Python 3.12 or higher
+# - Install: pip install real_ladybug graphiti-core
+#
+# Supports multiple LLM and embedder providers:
# - OpenAI (default)
# - Anthropic (LLM only, use with Voyage for embeddings)
# - Azure OpenAI
# - Ollama (local, fully offline)
-#
-# Prerequisites:
-# 1. Start FalkorDB: docker-compose up -d falkordb
-# 2. Install Graphiti: pip install graphiti-core[falkordb]
-# 3. Configure your chosen provider (see below)
+# - Google AI (Gemini)
# Enable Graphiti integration (default: false)
# GRAPHITI_ENABLED=true
+# =============================================================================
+# GRAPHITI: Database Settings
+# =============================================================================
+# LadybugDB stores data in a local directory (no Docker required).
+
+# Database name (default: auto_claude_memory)
+# GRAPHITI_DATABASE=auto_claude_memory
+
+# Database storage path (default: ~/.auto-claude/memories)
+# GRAPHITI_DB_PATH=~/.auto-claude/memories
+
# =============================================================================
# GRAPHITI: Provider Selection
# =============================================================================
@@ -157,8 +168,8 @@
# OpenAI API Key
# OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
-# OpenAI Model for LLM (default: gpt-5-mini)
-# OPENAI_MODEL=gpt-5-mini
+# OpenAI Model for LLM (default: gpt-4o-mini)
+# OPENAI_MODEL=gpt-4o-mini
# OpenAI Model for embeddings (default: text-embedding-3-small)
# Available: text-embedding-3-small (1536 dim), text-embedding-3-large (3072 dim)
@@ -225,7 +236,7 @@
# AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com/openai/deployments/your-deployment
# Azure OpenAI Deployment Names
-# AZURE_OPENAI_LLM_DEPLOYMENT=gpt-5
+# AZURE_OPENAI_LLM_DEPLOYMENT=gpt-4
# AZURE_OPENAI_EMBEDDING_DEPLOYMENT=text-embedding-3-small
# =============================================================================
@@ -257,66 +268,6 @@
# Common values: nomic-embed-text=768, mxbai-embed-large=1024, all-minilm=384
# OLLAMA_EMBEDDING_DIM=768
-# =============================================================================
-# GRAPHITI MCP SERVER (OPTIONAL - Agent-accessible knowledge graph)
-# =============================================================================
-# Enable Graphiti MCP server for direct agent access to knowledge graph.
-# This is SEPARATE from GRAPHITI_ENABLED (Python library integration).
-#
-# With MCP server enabled, Claude agents can directly:
-# - Search for relevant context (search_nodes, search_facts)
-# - Add discoveries to the graph (add_episode)
-# - Retrieve recent sessions (get_episodes)
-#
-# Quick Start (uses docker-compose.yml in project root):
-# 1. Set OPENAI_API_KEY in your .env file (or export it)
-# 2. Run: docker-compose up -d
-# 3. Set GRAPHITI_MCP_URL below
-#
-# Manual Docker (alternative):
-# docker run -d -p 8000:8000 \
-# -e DATABASE_TYPE=falkordb \
-# -e OPENAI_API_KEY=$OPENAI_API_KEY \
-# -e FALKORDB_URI=redis://host.docker.internal:6379 \
-# falkordb/graphiti-knowledge-graph-mcp
-#
-# See: https://docs.falkordb.com/agentic-memory/graphiti-mcp-server.html
-
-# Graphiti MCP Server URL (setting this enables MCP integration)
-# GRAPHITI_MCP_URL=http://localhost:8000/mcp/
-
-# Graphiti MCP Server Port (for docker-compose, default: 8000)
-# GRAPHITI_MCP_PORT=8000
-
-# Optional: Override model settings for MCP server
-# GRAPHITI_MODEL_NAME=gpt-4o-mini
-# GRAPHITI_EMBEDDING_MODEL=text-embedding-3-small
-
-# =============================================================================
-# GRAPHITI: FalkorDB Connection Settings
-# =============================================================================
-# Configure the FalkorDB graph database connection.
-# Start FalkorDB: docker run -p 6379:6379 falkordb/falkordb:latest
-
-# FalkorDB Host (default: localhost)
-# GRAPHITI_FALKORDB_HOST=localhost
-
-# FalkorDB Port (default: 6379)
-# GRAPHITI_FALKORDB_PORT=6379
-
-# FalkorDB Password (default: empty)
-# GRAPHITI_FALKORDB_PASSWORD=
-
-# Graph Database Name (default: auto_claude_memory)
-# GRAPHITI_DATABASE=auto_claude_memory
-
-# =============================================================================
-# GRAPHITI: Miscellaneous Settings
-# =============================================================================
-
-# Disable Graphiti telemetry (default: true)
-# GRAPHITI_TELEMETRY_ENABLED=false
-
# =============================================================================
# GRAPHITI: Example Configurations
# =============================================================================
@@ -348,7 +299,7 @@
# GRAPHITI_EMBEDDER_PROVIDER=azure_openai
# AZURE_OPENAI_API_KEY=xxxxxxxx
# AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com/...
-# AZURE_OPENAI_LLM_DEPLOYMENT=gpt-5
+# AZURE_OPENAI_LLM_DEPLOYMENT=gpt-4
# AZURE_OPENAI_EMBEDDING_DEPLOYMENT=text-embedding-3-small
#
# --- Example 5: Google AI (Gemini) ---
diff --git a/auto-claude/.gitignore b/auto-claude/.gitignore
index 4fb0922d..31e19add 100644
--- a/auto-claude/.gitignore
+++ b/auto-claude/.gitignore
@@ -5,6 +5,7 @@
# Virtual environment
.venv/
+.venv*/
venv/
env/
diff --git a/auto-claude/cli/main.py b/auto-claude/cli/main.py
index 1135bd94..364ef63e 100644
--- a/auto-claude/cli/main.py
+++ b/auto-claude/cli/main.py
@@ -311,7 +311,9 @@ def main() -> None:
if args.merge_preview:
from cli.workspace_commands import handle_merge_preview_command
- result = handle_merge_preview_command(project_dir, spec_dir.name)
+ result = handle_merge_preview_command(
+ project_dir, spec_dir.name, base_branch=args.base_branch
+ )
# Output as JSON for the UI to parse
import json
@@ -320,7 +322,10 @@ def main() -> None:
if args.merge:
success = handle_merge_command(
- project_dir, spec_dir.name, no_commit=args.no_commit
+ project_dir,
+ spec_dir.name,
+ no_commit=args.no_commit,
+ base_branch=args.base_branch,
)
if not success:
sys.exit(1)
diff --git a/auto-claude/cli/utils.py b/auto-claude/cli/utils.py
index 402523d4..006528bc 100644
--- a/auto-claude/cli/utils.py
+++ b/auto-claude/cli/utils.py
@@ -145,7 +145,8 @@ def validate_environment(spec_dir: Path) -> bool:
if graphiti_status["available"]:
print("Graphiti memory: ENABLED")
print(f" Database: {graphiti_status['database']}")
- print(f" Host: {graphiti_status['host']}:{graphiti_status['port']}")
+ if graphiti_status.get("db_path"):
+ print(f" Path: {graphiti_status['db_path']}")
elif graphiti_status["enabled"]:
print(
f"Graphiti memory: CONFIGURED but unavailable ({graphiti_status['reason']})"
diff --git a/auto-claude/cli/workspace_commands.py b/auto-claude/cli/workspace_commands.py
index 4ebf5f82..eb0cbe72 100644
--- a/auto-claude/cli/workspace_commands.py
+++ b/auto-claude/cli/workspace_commands.py
@@ -176,7 +176,10 @@ MODULE = "cli.workspace_commands"
def handle_merge_command(
- project_dir: Path, spec_name: str, no_commit: bool = False
+ project_dir: Path,
+ spec_name: str,
+ no_commit: bool = False,
+ base_branch: str | None = None,
) -> bool:
"""
Handle the --merge command.
@@ -185,11 +188,14 @@ def handle_merge_command(
project_dir: Project root directory
spec_name: Name of the spec
no_commit: If True, stage changes but don't commit
+ base_branch: Branch to compare against (default: auto-detect)
Returns:
True if merge succeeded, False otherwise
"""
- success = merge_existing_build(project_dir, spec_name, no_commit=no_commit)
+ success = merge_existing_build(
+ project_dir, spec_name, no_commit=no_commit, base_branch=base_branch
+ )
# Generate commit message suggestion if staging succeeded (no_commit mode)
if success and no_commit:
@@ -508,7 +514,11 @@ def _check_git_merge_conflicts(project_dir: Path, spec_name: str) -> dict:
return result
-def handle_merge_preview_command(project_dir: Path, spec_name: str) -> dict:
+def handle_merge_preview_command(
+ project_dir: Path,
+ spec_name: str,
+ base_branch: str | None = None,
+) -> dict:
"""
Handle the --merge-preview command.
@@ -523,6 +533,7 @@ def handle_merge_preview_command(project_dir: Path, spec_name: str) -> dict:
Args:
project_dir: Project root directory
spec_name: Name of the spec
+ base_branch: Branch the task was created from (for comparison). If None, auto-detect.
Returns:
Dictionary with preview information
@@ -565,15 +576,20 @@ def handle_merge_preview_command(project_dir: Path, spec_name: str) -> dict:
# First, check for git-level conflicts (diverged branches)
git_conflicts = _check_git_merge_conflicts(project_dir, spec_name)
+ # Determine the task's source branch (where the task was created from)
+ # Use provided base_branch (from task metadata), or fall back to detected default
+ task_source_branch = base_branch
+ if not task_source_branch:
+ # Auto-detect the default branch (main/master) that worktrees are typically created from
+ task_source_branch = _detect_default_branch(project_dir)
+
# Get actual changed files from git diff (this is the authoritative count)
- # Detect the default branch (main/master) that worktrees are created from
- # Note: git_conflicts["base_branch"] is the current project branch, not the
- # worktree base, so we detect the default branch separately
- default_branch = _detect_default_branch(project_dir)
- all_changed_files = _get_changed_files_from_git(worktree_path, default_branch)
+ all_changed_files = _get_changed_files_from_git(
+ worktree_path, task_source_branch
+ )
debug(
MODULE,
- f"Git diff against '{default_branch}' shows {len(all_changed_files)} changed files",
+ f"Git diff against '{task_source_branch}' shows {len(all_changed_files)} changed files",
changed_files=all_changed_files[:10], # Log first 10
)
@@ -587,8 +603,15 @@ def handle_merge_preview_command(project_dir: Path, spec_name: str) -> dict:
)
# Refresh evolution data from the worktree
- debug(MODULE, f"Refreshing evolution data from worktree: {worktree_path}")
- orchestrator.evolution_tracker.refresh_from_git(spec_name, worktree_path)
+ # Compare against the task's source branch (where the task was created from)
+ debug(
+ MODULE,
+ f"Refreshing evolution data from worktree: {worktree_path}",
+ task_source_branch=task_source_branch,
+ )
+ orchestrator.evolution_tracker.refresh_from_git(
+ spec_name, worktree_path, target_branch=task_source_branch
+ )
# Get merge preview (semantic conflicts between parallel tasks)
debug(MODULE, "Generating merge preview...")
diff --git a/auto-claude/core/workspace.py b/auto-claude/core/workspace.py
index 4d55db84..a6fa65cd 100644
--- a/auto-claude/core/workspace.py
+++ b/auto-claude/core/workspace.py
@@ -134,6 +134,7 @@ def merge_existing_build(
spec_name: str,
no_commit: bool = False,
use_smart_merge: bool = True,
+ base_branch: str | None = None,
) -> bool:
"""
Merge an existing build into the project using intent-aware merge.
@@ -152,6 +153,7 @@ def merge_existing_build(
spec_name: Name of the spec
no_commit: If True, merge changes but don't commit (stage only for review in IDE)
use_smart_merge: If True, use intent-aware merge (default True)
+ base_branch: The branch the task was created from (for comparison). If None, auto-detect.
Returns:
True if merge succeeded
@@ -217,7 +219,12 @@ def merge_existing_build(
# Try smart merge first if enabled
if use_smart_merge:
smart_result = _try_smart_merge(
- project_dir, spec_name, worktree_path, manager, no_commit=no_commit
+ project_dir,
+ spec_name,
+ worktree_path,
+ manager,
+ no_commit=no_commit,
+ task_source_branch=base_branch,
)
if smart_result is not None:
@@ -313,6 +320,7 @@ def _try_smart_merge(
worktree_path: Path,
manager: WorktreeManager,
no_commit: bool = False,
+ task_source_branch: str | None = None,
) -> dict | None:
"""
Try to use the intent-aware merge system.
@@ -322,6 +330,10 @@ def _try_smart_merge(
Uses a lock file to prevent concurrent merges for the same spec.
+ Args:
+ task_source_branch: The branch the task was created from (for comparison).
+ If None, auto-detect.
+
Returns:
Dict with results, or None if smart merge not applicable
"""
@@ -329,7 +341,12 @@ def _try_smart_merge(
try:
with MergeLock(project_dir, spec_name):
return _try_smart_merge_inner(
- project_dir, spec_name, worktree_path, manager, no_commit
+ project_dir,
+ spec_name,
+ worktree_path,
+ manager,
+ no_commit,
+ task_source_branch=task_source_branch,
)
except MergeLockError as e:
print(warning(f" {e}"))
@@ -346,6 +363,7 @@ def _try_smart_merge_inner(
worktree_path: Path,
manager: WorktreeManager,
no_commit: bool = False,
+ task_source_branch: str | None = None,
) -> dict | None:
"""Inner implementation of smart merge (called with lock held)."""
debug(
@@ -381,8 +399,17 @@ def _try_smart_merge_inner(
)
# Refresh evolution data from the worktree
- debug(MODULE, "Refreshing evolution data from git", spec_name=spec_name)
- orchestrator.evolution_tracker.refresh_from_git(spec_name, worktree_path)
+ # Use task_source_branch (where task branched from) for comparing what files changed
+ # If not provided, auto-detection will find main/master
+ debug(
+ MODULE,
+ "Refreshing evolution data from git",
+ spec_name=spec_name,
+ task_source_branch=task_source_branch,
+ )
+ orchestrator.evolution_tracker.refresh_from_git(
+ spec_name, worktree_path, target_branch=task_source_branch
+ )
# Check for git-level conflicts first (branch divergence)
debug(MODULE, "Checking for git-level conflicts")
diff --git a/auto-claude/integrations/graphiti/config.py b/auto-claude/integrations/graphiti/config.py
index bbd2c8ef..a168615c 100644
--- a/auto-claude/integrations/graphiti/config.py
+++ b/auto-claude/integrations/graphiti/config.py
@@ -5,15 +5,21 @@ Graphiti Integration Configuration
Constants, status mappings, and configuration helpers for Graphiti memory integration.
Follows the same patterns as linear_config.py for consistency.
+Uses LadybugDB as the embedded graph database (no Docker required, requires Python 3.12+).
+
Multi-Provider Support (V2):
-- LLM Providers: OpenAI, Anthropic, Azure OpenAI, Ollama
-- Embedder Providers: OpenAI, Voyage AI, Azure OpenAI, Ollama
+- LLM Providers: OpenAI, Anthropic, Azure OpenAI, Ollama, Google AI
+- Embedder Providers: OpenAI, Voyage AI, Azure OpenAI, Ollama, Google AI
Environment Variables:
# Core
GRAPHITI_ENABLED: Set to "true" to enable Graphiti integration
- GRAPHITI_LLM_PROVIDER: openai|anthropic|azure_openai|ollama (default: openai)
- GRAPHITI_EMBEDDER_PROVIDER: openai|voyage|azure_openai|ollama (default: openai)
+ GRAPHITI_LLM_PROVIDER: openai|anthropic|azure_openai|ollama|google (default: openai)
+ GRAPHITI_EMBEDDER_PROVIDER: openai|voyage|azure_openai|ollama|google (default: openai)
+
+ # Database
+ GRAPHITI_DATABASE: Graph database name (default: auto_claude_memory)
+ GRAPHITI_DB_PATH: Database storage path (default: ~/.auto-claude/memories)
# OpenAI
OPENAI_API_KEY: Required for OpenAI provider
@@ -22,7 +28,7 @@ Environment Variables:
# Anthropic (LLM only - needs separate embedder)
ANTHROPIC_API_KEY: Required for Anthropic provider
- GRAPHITI_ANTHROPIC_MODEL: Model for LLM (default: claude-sonnet-4-5-latest)
+ GRAPHITI_ANTHROPIC_MODEL: Model for LLM (default: claude-sonnet-4-5)
# Azure OpenAI
AZURE_OPENAI_API_KEY: Required for Azure provider
@@ -34,18 +40,19 @@ Environment Variables:
VOYAGE_API_KEY: Required for Voyage embedder
VOYAGE_EMBEDDING_MODEL: Model (default: voyage-3)
+ # Google AI
+ GOOGLE_API_KEY: Required for Google provider
+ GOOGLE_LLM_MODEL: Model for LLM (default: gemini-2.0-flash)
+ GOOGLE_EMBEDDING_MODEL: Model for embeddings (default: text-embedding-004)
+
# Ollama (local)
OLLAMA_BASE_URL: Ollama server URL (default: http://localhost:11434)
OLLAMA_LLM_MODEL: Model for LLM (e.g., deepseek-r1:7b)
- OLLAMA_EMBEDDING_MODEL: Model for embeddings (e.g., nomic-embed-text)
- OLLAMA_EMBEDDING_DIM: Embedding dimension (required for Ollama, e.g., 768)
-
- # FalkorDB
- GRAPHITI_FALKORDB_HOST: FalkorDB host (default: localhost)
- GRAPHITI_FALKORDB_PORT: FalkorDB port (default: 6380)
- GRAPHITI_FALKORDB_PASSWORD: FalkorDB password (default: empty)
- GRAPHITI_DATABASE: Graph database name (default: auto_claude_memory)
- GRAPHITI_TELEMETRY_ENABLED: Set to "false" to disable telemetry (default: true)
+ OLLAMA_EMBEDDING_MODEL: Model for embeddings. Supported models with auto-detected dimensions:
+ - embeddinggemma (768) - Google's lightweight embedding model
+ - qwen3-embedding:0.6b (1024), :4b (2560), :8b (4096) - Qwen3 series
+ - nomic-embed-text (768), mxbai-embed-large (1024), bge-large (1024)
+ OLLAMA_EMBEDDING_DIM: Override dimension (optional if using known model)
"""
import json
@@ -57,9 +64,8 @@ from pathlib import Path
from typing import Optional
# Default configuration values
-DEFAULT_FALKORDB_HOST = "localhost"
-DEFAULT_FALKORDB_PORT = 6380
DEFAULT_DATABASE = "auto_claude_memory"
+DEFAULT_DB_PATH = "~/.auto-claude/memories"
DEFAULT_OLLAMA_BASE_URL = "http://localhost:11434"
# Graphiti state marker file (stores connection info and status)
@@ -97,19 +103,19 @@ class EmbedderProvider(str, Enum):
@dataclass
class GraphitiConfig:
- """Configuration for Graphiti memory integration with multi-provider support."""
+ """Configuration for Graphiti memory integration with multi-provider support.
+
+ Uses LadybugDB as the embedded graph database (no Docker required, requires Python 3.12+).
+ """
# Core settings
enabled: bool = False
llm_provider: str = "openai"
embedder_provider: str = "openai"
- # FalkorDB connection
- falkordb_host: str = DEFAULT_FALKORDB_HOST
- falkordb_port: int = DEFAULT_FALKORDB_PORT
- falkordb_password: str = ""
+ # Database settings (LadybugDB - embedded, no Docker required)
database: str = DEFAULT_DATABASE
- telemetry_enabled: bool = True
+ db_path: str = DEFAULT_DB_PATH
# OpenAI settings
openai_api_key: str = ""
@@ -118,7 +124,7 @@ class GraphitiConfig:
# Anthropic settings (LLM only)
anthropic_api_key: str = ""
- anthropic_model: str = "claude-sonnet-4-5-latest"
+ anthropic_model: str = "claude-sonnet-4-5"
# Azure OpenAI settings
azure_openai_api_key: str = ""
@@ -154,22 +160,9 @@ class GraphitiConfig:
"GRAPHITI_EMBEDDER_PROVIDER", "openai"
).lower()
- # FalkorDB connection settings
- falkordb_host = os.environ.get("GRAPHITI_FALKORDB_HOST", DEFAULT_FALKORDB_HOST)
-
- try:
- falkordb_port = int(
- os.environ.get("GRAPHITI_FALKORDB_PORT", str(DEFAULT_FALKORDB_PORT))
- )
- except ValueError:
- falkordb_port = DEFAULT_FALKORDB_PORT
-
- falkordb_password = os.environ.get("GRAPHITI_FALKORDB_PASSWORD", "")
+ # Database settings (LadybugDB - embedded)
database = os.environ.get("GRAPHITI_DATABASE", DEFAULT_DATABASE)
-
- # Telemetry setting
- telemetry_str = os.environ.get("GRAPHITI_TELEMETRY_ENABLED", "true").lower()
- telemetry_enabled = telemetry_str not in ("false", "0", "no")
+ db_path = os.environ.get("GRAPHITI_DB_PATH", DEFAULT_DB_PATH)
# OpenAI settings
openai_api_key = os.environ.get("OPENAI_API_KEY", "")
@@ -181,7 +174,7 @@ class GraphitiConfig:
# Anthropic settings
anthropic_api_key = os.environ.get("ANTHROPIC_API_KEY", "")
anthropic_model = os.environ.get(
- "GRAPHITI_ANTHROPIC_MODEL", "claude-sonnet-4-5-latest"
+ "GRAPHITI_ANTHROPIC_MODEL", "claude-sonnet-4-5"
)
# Azure OpenAI settings
@@ -218,11 +211,8 @@ class GraphitiConfig:
enabled=enabled,
llm_provider=llm_provider,
embedder_provider=embedder_provider,
- falkordb_host=falkordb_host,
- falkordb_port=falkordb_port,
- falkordb_password=falkordb_password,
database=database,
- telemetry_enabled=telemetry_enabled,
+ db_path=db_path,
openai_api_key=openai_api_key,
openai_model=openai_model,
openai_embedding_model=openai_embedding_model,
@@ -249,40 +239,17 @@ class GraphitiConfig:
Returns True if:
- GRAPHITI_ENABLED is true
- - LLM provider is configured correctly
- - Embedder provider is configured correctly
+ - Embedder provider is configured (optional - keyword search works without)
+
+ Note: LLM provider is no longer required - Claude Agent SDK handles RAG queries.
"""
if not self.enabled:
return False
- # Validate LLM provider
- if not self._validate_llm_provider():
- return False
-
- # Validate embedder provider
- if not self._validate_embedder_provider():
- return False
-
+ # Embedder validation is optional - memory works with keyword search fallback
+ # Return True if enabled, embedder config is a bonus for semantic search
return True
- def _validate_llm_provider(self) -> bool:
- """Validate LLM provider configuration."""
- if self.llm_provider == "openai":
- return bool(self.openai_api_key)
- elif self.llm_provider == "anthropic":
- return bool(self.anthropic_api_key)
- elif self.llm_provider == "azure_openai":
- return bool(
- self.azure_openai_api_key
- and self.azure_openai_base_url
- and self.azure_openai_llm_deployment
- )
- elif self.llm_provider == "ollama":
- return bool(self.ollama_llm_model)
- elif self.llm_provider == "google":
- return bool(self.google_api_key)
- return False
-
def _validate_embedder_provider(self) -> bool:
"""Validate embedder provider configuration."""
if self.embedder_provider == "openai":
@@ -296,7 +263,8 @@ class GraphitiConfig:
and self.azure_openai_embedding_deployment
)
elif self.embedder_provider == "ollama":
- return bool(self.ollama_embedding_model and self.ollama_embedding_dim)
+ # Only require model - dimension is auto-detected for known models
+ return bool(self.ollama_embedding_model)
elif self.embedder_provider == "google":
return bool(self.google_api_key)
return False
@@ -309,34 +277,10 @@ class GraphitiConfig:
errors.append("GRAPHITI_ENABLED must be set to true")
return errors
- # LLM provider validation
- if self.llm_provider == "openai":
- if not self.openai_api_key:
- errors.append("OpenAI LLM provider requires OPENAI_API_KEY")
- elif self.llm_provider == "anthropic":
- if not self.anthropic_api_key:
- errors.append("Anthropic LLM provider requires ANTHROPIC_API_KEY")
- elif self.llm_provider == "azure_openai":
- if not self.azure_openai_api_key:
- errors.append("Azure OpenAI LLM provider requires AZURE_OPENAI_API_KEY")
- if not self.azure_openai_base_url:
- errors.append(
- "Azure OpenAI LLM provider requires AZURE_OPENAI_BASE_URL"
- )
- if not self.azure_openai_llm_deployment:
- errors.append(
- "Azure OpenAI LLM provider requires AZURE_OPENAI_LLM_DEPLOYMENT"
- )
- elif self.llm_provider == "ollama":
- if not self.ollama_llm_model:
- errors.append("Ollama LLM provider requires OLLAMA_LLM_MODEL")
- elif self.llm_provider == "google":
- if not self.google_api_key:
- errors.append("Google LLM provider requires GOOGLE_API_KEY")
- else:
- errors.append(f"Unknown LLM provider: {self.llm_provider}")
+ # Note: LLM provider validation removed - Claude Agent SDK handles RAG queries
+ # Memory works with keyword search even without embedder, so embedder errors are warnings
- # Embedder provider validation
+ # Embedder provider validation (optional - keyword search works without)
if self.embedder_provider == "openai":
if not self.openai_api_key:
errors.append("OpenAI embedder provider requires OPENAI_API_KEY")
@@ -361,8 +305,7 @@ class GraphitiConfig:
errors.append(
"Ollama embedder provider requires OLLAMA_EMBEDDING_MODEL"
)
- if not self.ollama_embedding_dim:
- errors.append("Ollama embedder provider requires OLLAMA_EMBEDDING_DIM")
+ # Note: OLLAMA_EMBEDDING_DIM is optional - auto-detected for known models
elif self.embedder_provider == "google":
if not self.google_api_key:
errors.append("Google embedder provider requires GOOGLE_API_KEY")
@@ -371,16 +314,103 @@ class GraphitiConfig:
return errors
- def get_connection_uri(self) -> str:
- """Get the FalkorDB connection URI."""
- if self.falkordb_password:
- return f"redis://:{self.falkordb_password}@{self.falkordb_host}:{self.falkordb_port}"
- return f"redis://{self.falkordb_host}:{self.falkordb_port}"
+ def get_db_path(self) -> Path:
+ """
+ Get the resolved database path.
+
+ Expands ~ to home directory and appends the database name.
+ Creates the parent directory if it doesn't exist (not the final
+ database file/directory itself, which is created by the driver).
+ """
+ base_path = Path(self.db_path).expanduser()
+ full_path = base_path / self.database
+ full_path.parent.mkdir(parents=True, exist_ok=True)
+ return full_path
def get_provider_summary(self) -> str:
"""Get a summary of configured providers."""
return f"LLM: {self.llm_provider}, Embedder: {self.embedder_provider}"
+ def get_embedding_dimension(self) -> int:
+ """
+ Get the embedding dimension for the current embedder provider.
+
+ Returns:
+ Embedding dimension (e.g., 768, 1024, 1536)
+ """
+ if self.embedder_provider == "ollama":
+ if self.ollama_embedding_dim > 0:
+ return self.ollama_embedding_dim
+ # Auto-detect for known models
+ model = self.ollama_embedding_model.lower()
+ if "embeddinggemma" in model or "nomic-embed-text" in model:
+ return 768
+ elif "mxbai" in model or "bge-large" in model:
+ return 1024
+ elif "qwen3" in model:
+ if "0.6b" in model:
+ return 1024
+ elif "4b" in model:
+ return 2560
+ elif "8b" in model:
+ return 4096
+ return 768 # Default fallback
+ elif self.embedder_provider == "openai":
+ # OpenAI text-embedding-3-small default is 1536
+ return 1536
+ elif self.embedder_provider == "voyage":
+ # Voyage-3 uses 1024 dimensions
+ return 1024
+ elif self.embedder_provider == "google":
+ # Google text-embedding-004 uses 768 dimensions
+ return 768
+ elif self.embedder_provider == "azure_openai":
+ # Depends on the deployment, default to 1536
+ return 1536
+ return 768 # Safe default
+
+ def get_provider_signature(self) -> str:
+ """
+ Get a unique signature for the current embedding provider configuration.
+
+ Used to generate provider-specific database names to prevent mixing
+ incompatible embeddings.
+
+ Returns:
+ Provider signature string (e.g., "openai_1536", "ollama_768")
+ """
+ provider = self.embedder_provider
+ dim = self.get_embedding_dimension()
+
+ if provider == "ollama":
+ # Include model name for Ollama
+ model = self.ollama_embedding_model.replace(":", "_").replace(".", "_")
+ return f"ollama_{model}_{dim}"
+ else:
+ return f"{provider}_{dim}"
+
+ def get_provider_specific_database_name(self, base_name: str = None) -> str:
+ """
+ Get a provider-specific database name to prevent embedding dimension mismatches.
+
+ Args:
+ base_name: Base database name (default: from config)
+
+ Returns:
+ Database name with provider signature (e.g., "auto_claude_memory_ollama_768")
+ """
+ if base_name is None:
+ base_name = self.database
+
+ # Remove existing provider suffix if present
+ for provider in ["openai", "ollama", "voyage", "google", "azure_openai"]:
+ if f"_{provider}_" in base_name:
+ base_name = base_name.split(f"_{provider}_")[0]
+ break
+
+ signature = self.get_provider_signature()
+ return f"{base_name}_{signature}"
+
@dataclass
class GraphitiState:
@@ -454,6 +484,43 @@ class GraphitiState:
# Keep only last 10 errors
self.error_log = self.error_log[-10:]
+ def has_provider_changed(self, config: GraphitiConfig) -> bool:
+ """
+ Check if the embedding provider has changed since initialization.
+
+ Args:
+ config: Current GraphitiConfig
+
+ Returns:
+ True if provider has changed (requiring migration)
+ """
+ if not self.initialized or not self.embedder_provider:
+ return False
+
+ return self.embedder_provider != config.embedder_provider
+
+ def get_migration_info(self, config: GraphitiConfig) -> dict:
+ """
+ Get information about provider migration needs.
+
+ Args:
+ config: Current GraphitiConfig
+
+ Returns:
+ Dict with migration details or None if no migration needed
+ """
+ if not self.has_provider_changed(config):
+ return None
+
+ return {
+ "old_provider": self.embedder_provider,
+ "new_provider": config.embedder_provider,
+ "old_database": self.database,
+ "new_database": config.get_provider_specific_database_name(),
+ "episode_count": self.episode_count,
+ "requires_migration": True,
+ }
+
def is_graphiti_enabled() -> bool:
"""
@@ -475,9 +542,8 @@ def get_graphiti_status() -> dict:
Dict with status information:
- enabled: bool
- available: bool (has required dependencies)
- - host: str
- - port: int
- database: str
+ - db_path: str
- llm_provider: str
- embedder_provider: str
- reason: str (why unavailable if not available)
@@ -488,9 +554,8 @@ def get_graphiti_status() -> dict:
status = {
"enabled": config.enabled,
"available": False,
- "host": config.falkordb_host,
- "port": config.falkordb_port,
"database": config.database,
+ "db_path": config.db_path,
"llm_provider": config.llm_provider,
"embedder_provider": config.embedder_provider,
"reason": "",
@@ -501,14 +566,17 @@ def get_graphiti_status() -> dict:
status["reason"] = "GRAPHITI_ENABLED not set to true"
return status
- # Get validation errors
+ # Get validation errors (these are warnings, not blockers)
errors = config.get_validation_errors()
if errors:
status["errors"] = errors
- status["reason"] = errors[0] # First error as primary reason
- return status
+ # Errors are informational - embedder is optional (keyword search fallback)
+
+ # Available if is_valid() returns True (just needs enabled flag)
+ status["available"] = config.is_valid()
+ if not status["available"]:
+ status["reason"] = errors[0] if errors else "Configuration invalid"
- status["available"] = True
return status
diff --git a/auto-claude/integrations/graphiti/memory.py b/auto-claude/integrations/graphiti/memory.py
index 8e55b14d..9739f34c 100644
--- a/auto-claude/integrations/graphiti/memory.py
+++ b/auto-claude/integrations/graphiti/memory.py
@@ -25,8 +25,15 @@ see graphiti/graphiti.py.
from pathlib import Path
-# Re-export from modular system
-from graphiti import (
+# Import config utilities
+from graphiti_config import (
+ GraphitiConfig,
+ is_graphiti_enabled,
+)
+
+# Re-export from modular system (queries_pkg)
+from .queries_pkg.graphiti import GraphitiMemory
+from .queries_pkg.schema import (
EPISODE_TYPE_CODEBASE_DISCOVERY,
EPISODE_TYPE_GOTCHA,
EPISODE_TYPE_HISTORICAL_CONTEXT,
@@ -35,16 +42,9 @@ from graphiti import (
EPISODE_TYPE_SESSION_INSIGHT,
EPISODE_TYPE_TASK_OUTCOME,
MAX_CONTEXT_RESULTS,
- GraphitiMemory,
GroupIdMode,
)
-# Import config utilities
-from graphiti_config import (
- GraphitiConfig,
- is_graphiti_enabled,
-)
-
# Convenience function for getting a memory manager
def get_graphiti_memory(
diff --git a/auto-claude/integrations/graphiti/migrate_embeddings.py b/auto-claude/integrations/graphiti/migrate_embeddings.py
new file mode 100644
index 00000000..a43b4a71
--- /dev/null
+++ b/auto-claude/integrations/graphiti/migrate_embeddings.py
@@ -0,0 +1,409 @@
+#!/usr/bin/env python3
+"""
+Embedding Provider Migration Utility
+=====================================
+
+Migrates Graphiti memory data from one embedding provider to another by:
+1. Reading all episodes from the source database
+2. Re-embedding content with the new provider
+3. Storing in a provider-specific target database
+
+This handles the dimension mismatch issue when switching between providers
+(e.g., OpenAI 1536D → Ollama embeddinggemma 768D).
+
+Usage:
+ # Interactive mode (recommended)
+ python integrations/graphiti/migrate_embeddings.py
+
+ # Automatic mode
+ python integrations/graphiti/migrate_embeddings.py \
+ --from-provider openai \
+ --to-provider ollama \
+ --auto-confirm
+
+ # Dry run to see what would be migrated
+ python integrations/graphiti/migrate_embeddings.py --dry-run
+"""
+
+import argparse
+import asyncio
+import logging
+import sys
+from datetime import datetime
+from pathlib import Path
+
+# Add auto-claude to path
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+from integrations.graphiti.config import GraphitiConfig
+
+logging.basicConfig(
+ level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+
+class EmbeddingMigrator:
+ """Handles migration of embeddings between providers."""
+
+ def __init__(
+ self,
+ source_config: GraphitiConfig,
+ target_config: GraphitiConfig,
+ dry_run: bool = False,
+ ):
+ """
+ Initialize the migrator.
+
+ Args:
+ source_config: Config for source database
+ target_config: Config for target database
+ dry_run: If True, don't actually perform migration
+ """
+ self.source_config = source_config
+ self.target_config = target_config
+ self.dry_run = dry_run
+ self.source_client = None
+ self.target_client = None
+
+ async def initialize(self) -> bool:
+ """Initialize source and target clients."""
+ from integrations.graphiti.queries_pkg.client import GraphitiClient
+
+ logger.info("Initializing source client...")
+ self.source_client = GraphitiClient(self.source_config)
+ try:
+ if not await self.source_client.initialize():
+ logger.error("Failed to initialize source client")
+ return False
+ except Exception as e:
+ logger.error(f"Exception initializing source client: {e}")
+ return False
+
+ if not self.dry_run:
+ logger.info("Initializing target client...")
+ self.target_client = GraphitiClient(self.target_config)
+ try:
+ if not await self.target_client.initialize():
+ logger.error("Failed to initialize target client")
+ # Clean up source client on partial failure
+ await self.source_client.close()
+ self.source_client = None
+ return False
+ except Exception as e:
+ logger.error(f"Exception initializing target client: {e}")
+ # Clean up source client on partial failure
+ await self.source_client.close()
+ self.source_client = None
+ return False
+
+ return True
+
+ async def get_source_episodes(self) -> list[dict]:
+ """
+ Retrieve all episodes from source database.
+
+ Returns:
+ List of episode data dictionaries
+ """
+ logger.info("Fetching episodes from source database...")
+
+ try:
+ # Query all episodic nodes
+ query = """
+ MATCH (e:Episodic)
+ RETURN
+ e.uuid AS uuid,
+ e.name AS name,
+ e.content AS content,
+ e.created_at AS created_at,
+ e.valid_at AS valid_at,
+ e.group_id AS group_id,
+ e.source AS source,
+ e.source_description AS source_description
+ ORDER BY e.created_at
+ """
+
+ records, _, _ = await self.source_client._driver.execute_query(query)
+
+ episodes = []
+ for record in records:
+ episodes.append(
+ {
+ "uuid": record.get("uuid"),
+ "name": record.get("name"),
+ "content": record.get("content"),
+ "created_at": record.get("created_at"),
+ "valid_at": record.get("valid_at"),
+ "group_id": record.get("group_id"),
+ "source": record.get("source"),
+ "source_description": record.get("source_description"),
+ }
+ )
+
+ logger.info(f"Found {len(episodes)} episodes to migrate")
+ return episodes
+
+ except Exception as e:
+ logger.error(f"Failed to fetch episodes: {e}")
+ return []
+
+ async def migrate_episode(self, episode: dict) -> bool:
+ """
+ Migrate a single episode to the target database.
+
+ Args:
+ episode: Episode data dictionary
+
+ Returns:
+ True if migration succeeded
+ """
+ if self.dry_run:
+ logger.info(f"[DRY RUN] Would migrate: {episode['name']}")
+ return True
+
+ try:
+ from graphiti_core.nodes import EpisodeType
+
+ # Determine episode type
+ source = episode.get("source", "text")
+ if source == "message":
+ episode_type = EpisodeType.message
+ elif source == "json":
+ episode_type = EpisodeType.json
+ else:
+ episode_type = EpisodeType.text
+
+ # Parse timestamps
+ valid_at = episode.get("valid_at")
+ if isinstance(valid_at, str):
+ valid_at = datetime.fromisoformat(valid_at.replace("Z", "+00:00"))
+
+ # Re-embed and save with new provider
+ await self.target_client.graphiti.add_episode(
+ name=episode["name"],
+ episode_body=episode["content"] or "",
+ source=episode_type,
+ source_description=episode.get(
+ "source_description", "Migrated episode"
+ ),
+ reference_time=valid_at,
+ group_id=episode.get("group_id", "default"),
+ )
+
+ logger.info(f"Migrated: {episode['name']}")
+ return True
+
+ except Exception as e:
+ logger.error(f"Failed to migrate episode {episode['name']}: {e}")
+ return False
+
+ async def migrate_all(self) -> dict:
+ """
+ Migrate all episodes from source to target.
+
+ Returns:
+ Migration statistics dictionary
+ """
+ episodes = await self.get_source_episodes()
+
+ stats = {
+ "total": len(episodes),
+ "succeeded": 0,
+ "failed": 0,
+ "dry_run": self.dry_run,
+ }
+
+ for i, episode in enumerate(episodes, 1):
+ logger.info(f"Processing episode {i}/{len(episodes)}")
+ if await self.migrate_episode(episode):
+ stats["succeeded"] += 1
+ else:
+ stats["failed"] += 1
+
+ return stats
+
+ async def close(self):
+ """Close client connections."""
+ if self.source_client:
+ await self.source_client.close()
+ if self.target_client:
+ await self.target_client.close()
+
+
+async def interactive_migration():
+ """Run interactive migration with user prompts."""
+ print("\n" + "=" * 70)
+ print(" GRAPHITI EMBEDDING PROVIDER MIGRATION")
+ print("=" * 70 + "\n")
+
+ # Load current config
+ current_config = GraphitiConfig.from_env()
+
+ print("Current Configuration:")
+ print(f" Embedder Provider: {current_config.embedder_provider}")
+ print(f" Embedding Dimension: {current_config.get_embedding_dimension()}")
+ print(f" Database: {current_config.database}")
+ print(f" Provider Signature: {current_config.get_provider_signature()}\n")
+
+ # Ask for source provider
+ print("Which provider are you migrating FROM?")
+ print(" 1. OpenAI")
+ print(" 2. Ollama")
+ print(" 3. Voyage AI")
+ print(" 4. Google AI")
+ print(" 5. Azure OpenAI")
+
+ source_choice = input("\nEnter choice (1-5): ").strip()
+ source_map = {
+ "1": "openai",
+ "2": "ollama",
+ "3": "voyage",
+ "4": "google",
+ "5": "azure_openai",
+ }
+
+ if source_choice not in source_map:
+ print("Invalid choice. Exiting.")
+ return
+
+ source_provider = source_map[source_choice]
+
+ # Validate that source and target are different
+ if source_provider == current_config.embedder_provider:
+ print(f"\nError: Source and target providers are the same ({source_provider}).")
+ print("Migration requires different providers. Exiting.")
+ return
+
+ # Create source config with correct provider-specific database name
+ source_config = GraphitiConfig.from_env()
+ source_config.embedder_provider = source_provider
+ # Use the source provider's signature for the database name
+ source_config.database = source_config.get_provider_specific_database_name(
+ "auto_claude_memory"
+ )
+
+ print(f"\nSource: {source_provider}")
+ print(f"Target: {current_config.embedder_provider}")
+ print(
+ f"\nThis will migrate all episodes from {source_provider} "
+ f"to {current_config.embedder_provider}"
+ )
+ print(
+ "Re-embedding may take several minutes depending on the number of episodes.\n"
+ )
+
+ confirm = input("Continue? (yes/no): ").strip().lower()
+ if confirm != "yes":
+ print("Migration cancelled.")
+ return
+
+ # Perform migration
+ migrator = EmbeddingMigrator(
+ source_config=source_config,
+ target_config=current_config,
+ dry_run=False,
+ )
+
+ if not await migrator.initialize():
+ print("Failed to initialize migration. Check configuration.")
+ return
+
+ print("\nMigrating episodes...")
+ stats = await migrator.migrate_all()
+
+ await migrator.close()
+
+ print("\n" + "=" * 70)
+ print(" MIGRATION COMPLETE")
+ print("=" * 70)
+ print(f" Total Episodes: {stats['total']}")
+ print(f" Succeeded: {stats['succeeded']}")
+ print(f" Failed: {stats['failed']}")
+ print("=" * 70 + "\n")
+
+
+async def automatic_migration(args):
+ """Run automatic migration based on command-line args."""
+ current_config = GraphitiConfig.from_env()
+
+ if args.from_provider:
+ source_config = GraphitiConfig.from_env()
+ source_config.embedder_provider = args.from_provider
+ # Use source provider's signature for database name
+ source_config.database = source_config.get_provider_specific_database_name(
+ "auto_claude_memory"
+ )
+ else:
+ source_config = current_config
+
+ if args.to_provider:
+ target_config = GraphitiConfig.from_env()
+ target_config.embedder_provider = args.to_provider
+ # Use target provider's signature for database name
+ target_config.database = target_config.get_provider_specific_database_name(
+ "auto_claude_memory"
+ )
+ else:
+ target_config = current_config
+
+ # Validate that source and target are different
+ if source_config.embedder_provider == target_config.embedder_provider:
+ logger.error(
+ f"Source and target providers are the same "
+ f"({source_config.embedder_provider}). "
+ f"Specify different --from-provider and --to-provider values."
+ )
+ return
+
+ migrator = EmbeddingMigrator(
+ source_config=source_config,
+ target_config=target_config,
+ dry_run=args.dry_run,
+ )
+
+ if not await migrator.initialize():
+ logger.error("Failed to initialize migration")
+ return
+
+ stats = await migrator.migrate_all()
+ await migrator.close()
+
+ logger.info(f"Migration complete: {stats}")
+
+
+def main():
+ """Main entry point."""
+ parser = argparse.ArgumentParser(
+ description="Migrate Graphiti embeddings between providers"
+ )
+ parser.add_argument(
+ "--from-provider",
+ choices=["openai", "ollama", "voyage", "google", "azure_openai"],
+ help="Source embedding provider",
+ )
+ parser.add_argument(
+ "--to-provider",
+ choices=["openai", "ollama", "voyage", "google", "azure_openai"],
+ help="Target embedding provider",
+ )
+ parser.add_argument(
+ "--dry-run",
+ action="store_true",
+ help="Show what would be migrated without actually migrating",
+ )
+ parser.add_argument(
+ "--auto-confirm", action="store_true", help="Skip confirmation prompts"
+ )
+
+ args = parser.parse_args()
+
+ # Use interactive mode if no providers specified
+ if not args.from_provider and not args.to_provider:
+ asyncio.run(interactive_migration())
+ else:
+ asyncio.run(automatic_migration(args))
+
+
+if __name__ == "__main__":
+ main()
diff --git a/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/__init__.py b/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/__init__.py
index 33566a1b..7c0f7ed6 100644
--- a/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/__init__.py
+++ b/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/__init__.py
@@ -12,7 +12,11 @@ if TYPE_CHECKING:
from .azure_openai_embedder import create_azure_openai_embedder
from .google_embedder import create_google_embedder
-from .ollama_embedder import create_ollama_embedder
+from .ollama_embedder import (
+ KNOWN_OLLAMA_EMBEDDING_MODELS,
+ create_ollama_embedder,
+ get_embedding_dim_for_model,
+)
from .openai_embedder import create_openai_embedder
from .voyage_embedder import create_voyage_embedder
@@ -22,4 +26,6 @@ __all__ = [
"create_azure_openai_embedder",
"create_ollama_embedder",
"create_google_embedder",
+ "KNOWN_OLLAMA_EMBEDDING_MODELS",
+ "get_embedding_dim_for_model",
]
diff --git a/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/ollama_embedder.py b/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/ollama_embedder.py
index 10884b08..70c30143 100644
--- a/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/ollama_embedder.py
+++ b/auto-claude/integrations/graphiti/providers_pkg/embedder_providers/ollama_embedder.py
@@ -3,6 +3,15 @@ Ollama Embedder Provider
=========================
Ollama embedder implementation for Graphiti (using OpenAI-compatible interface).
+
+Supported models with known dimensions:
+- embeddinggemma (768) - Google's lightweight embedding model
+- qwen3-embedding:0.6b (1024) - Qwen3 small embedding model
+- qwen3-embedding:4b (2560) - Qwen3 medium embedding model
+- qwen3-embedding:8b (4096) - Qwen3 large embedding model
+- nomic-embed-text (768) - Nomic's embedding model
+- mxbai-embed-large (1024) - MixedBread AI large embedding model
+- bge-large (1024) - BAAI general embedding large
"""
from typing import TYPE_CHECKING, Any
@@ -12,6 +21,64 @@ if TYPE_CHECKING:
from ..exceptions import ProviderError, ProviderNotInstalled
+# Known Ollama embedding models and their default dimensions
+# Users can override with OLLAMA_EMBEDDING_DIM env var
+KNOWN_OLLAMA_EMBEDDING_MODELS: dict[str, int] = {
+ # Google EmbeddingGemma (supports 128-768 via MRL)
+ "embeddinggemma": 768,
+ "embeddinggemma:300m": 768,
+ # Qwen3 Embedding series (support flexible dimensions)
+ "qwen3-embedding": 1024, # Default tag uses 0.6b
+ "qwen3-embedding:0.6b": 1024,
+ "qwen3-embedding:4b": 2560,
+ "qwen3-embedding:8b": 4096,
+ # Other popular models
+ "nomic-embed-text": 768,
+ "nomic-embed-text:latest": 768,
+ "mxbai-embed-large": 1024,
+ "mxbai-embed-large:latest": 1024,
+ "bge-large": 1024,
+ "bge-large:latest": 1024,
+ "bge-m3": 1024,
+ "bge-m3:latest": 1024,
+ "all-minilm": 384,
+ "all-minilm:latest": 384,
+}
+
+
+def get_embedding_dim_for_model(model_name: str, configured_dim: int = 0) -> int:
+ """
+ Get the embedding dimension for an Ollama model.
+
+ Args:
+ model_name: The Ollama model name (e.g., "embeddinggemma", "qwen3-embedding:8b")
+ configured_dim: User-configured dimension (takes precedence if > 0)
+
+ Returns:
+ Embedding dimension to use
+
+ Raises:
+ ProviderError: If model is unknown and no dimension configured
+ """
+ # User override takes precedence
+ if configured_dim > 0:
+ return configured_dim
+
+ # Check known models (exact match first)
+ if model_name in KNOWN_OLLAMA_EMBEDDING_MODELS:
+ return KNOWN_OLLAMA_EMBEDDING_MODELS[model_name]
+
+ # Try without tag suffix
+ base_name = model_name.split(":")[0]
+ if base_name in KNOWN_OLLAMA_EMBEDDING_MODELS:
+ return KNOWN_OLLAMA_EMBEDDING_MODELS[base_name]
+
+ raise ProviderError(
+ f"Unknown Ollama embedding model: {model_name}. "
+ f"Please set OLLAMA_EMBEDDING_DIM or use a known model: "
+ f"{', '.join(sorted(set(k.split(':')[0] for k in KNOWN_OLLAMA_EMBEDDING_MODELS.keys())))}"
+ )
+
def create_ollama_embedder(config: "GraphitiConfig") -> Any:
"""
@@ -39,6 +106,12 @@ def create_ollama_embedder(config: "GraphitiConfig") -> Any:
if not config.ollama_embedding_model:
raise ProviderError("Ollama embedder requires OLLAMA_EMBEDDING_MODEL")
+ # Get embedding dimension (auto-detect for known models, or use configured value)
+ embedding_dim = get_embedding_dim_for_model(
+ config.ollama_embedding_model,
+ config.ollama_embedding_dim,
+ )
+
# Ensure Ollama base URL ends with /v1 for OpenAI compatibility
base_url = config.ollama_base_url
if not base_url.endswith("/v1"):
@@ -47,7 +120,7 @@ def create_ollama_embedder(config: "GraphitiConfig") -> Any:
embedder_config = OpenAIEmbedderConfig(
api_key="ollama", # Ollama requires a dummy API key
embedding_model=config.ollama_embedding_model,
- embedding_dim=config.ollama_embedding_dim,
+ embedding_dim=embedding_dim,
base_url=base_url,
)
diff --git a/auto-claude/integrations/graphiti/queries_pkg/client.py b/auto-claude/integrations/graphiti/queries_pkg/client.py
index ce50ab4d..0458c154 100644
--- a/auto-claude/integrations/graphiti/queries_pkg/client.py
+++ b/auto-claude/integrations/graphiti/queries_pkg/client.py
@@ -1,10 +1,12 @@
"""
-FalkorDB client wrapper for Graphiti memory.
+Graph database client wrapper for Graphiti memory.
Handles database connection, initialization, and lifecycle management.
+Uses LadybugDB as the embedded graph database (no Docker required, Python 3.12+).
"""
import logging
+import sys
from datetime import datetime, timezone
from graphiti_config import GraphitiConfig, GraphitiState
@@ -12,11 +14,49 @@ from graphiti_config import GraphitiConfig, GraphitiState
logger = logging.getLogger(__name__)
+def _apply_ladybug_monkeypatch() -> bool:
+ """
+ Apply monkeypatch to use LadybugDB as Kuzu replacement, or use native kuzu.
+
+ LadybugDB is a fork of Kuzu that provides an embedded graph database.
+ Since graphiti-core has a KuzuDriver, we can use LadybugDB by making
+ the 'kuzu' import point to 'real_ladybug'.
+
+ Falls back to native kuzu if LadybugDB is not available.
+
+ Returns:
+ True if kuzu (or monkeypatch) is available
+ """
+ # First try LadybugDB monkeypatch
+ try:
+ import real_ladybug
+
+ sys.modules["kuzu"] = real_ladybug
+ logger.info("Applied LadybugDB monkeypatch (kuzu -> real_ladybug)")
+ return True
+ except ImportError:
+ pass
+
+ # Fall back to native kuzu
+ try:
+ import kuzu # noqa: F401
+
+ logger.info("Using native kuzu (LadybugDB not installed)")
+ return True
+ except ImportError:
+ logger.warning(
+ "Neither LadybugDB nor kuzu installed. "
+ "Install with: pip install real_ladybug (requires Python 3.12+) or pip install kuzu"
+ )
+ return False
+
+
class GraphitiClient:
"""
Manages the Graphiti client lifecycle and database connection.
Handles lazy initialization, provider setup, and connection management.
+ Uses LadybugDB as the embedded graph database.
"""
def __init__(self, config: GraphitiConfig):
@@ -59,7 +99,6 @@ class GraphitiClient:
try:
# Import Graphiti core
from graphiti_core import Graphiti
- from graphiti_core.driver.falkordb_driver import FalkorDriver
# Import our provider factory
from graphiti_providers import (
@@ -94,13 +133,39 @@ class GraphitiClient:
logger.warning(f"Embedder provider configuration error: {e}")
return False
- # Initialize FalkorDB driver
- self._driver = FalkorDriver(
- host=self.config.falkordb_host,
- port=self.config.falkordb_port,
- password=self.config.falkordb_password or None,
- database=self.config.database,
- )
+ # Apply LadybugDB monkeypatch to use it via graphiti's KuzuDriver
+ if not _apply_ladybug_monkeypatch():
+ logger.error(
+ "LadybugDB is required for Graphiti memory. "
+ "Install with: pip install real_ladybug (requires Python 3.12+)"
+ )
+ return False
+
+ try:
+ # Use our patched KuzuDriver that properly creates FTS indexes
+ # The original graphiti-core KuzuDriver has build_indices_and_constraints()
+ # as a no-op, which causes FTS search failures
+ from integrations.graphiti.queries_pkg.kuzu_driver_patched import (
+ PatchedKuzuDriver as KuzuDriver,
+ )
+
+ db_path = self.config.get_db_path()
+ try:
+ self._driver = KuzuDriver(db=str(db_path))
+ except (OSError, PermissionError) as e:
+ logger.warning(
+ f"Failed to initialize LadybugDB driver at {db_path}: {e}"
+ )
+ return False
+ except Exception as e:
+ logger.warning(
+ f"Unexpected error initializing LadybugDB driver at {db_path}: {e}"
+ )
+ return False
+ logger.info(f"Initialized LadybugDB driver (patched) at: {db_path}")
+ except ImportError as e:
+ logger.warning(f"KuzuDriver not available: {e}")
+ return False
# Initialize Graphiti with the custom providers
self._graphiti = Graphiti(
@@ -132,7 +197,7 @@ class GraphitiClient:
except ImportError as e:
logger.warning(
f"Graphiti packages not installed: {e}. "
- "Install with: pip install graphiti-core[falkordb]"
+ "Install with: pip install real_ladybug graphiti-core"
)
return False
diff --git a/auto-claude/integrations/graphiti/queries_pkg/graphiti.py b/auto-claude/integrations/graphiti/queries_pkg/graphiti.py
index 38046097..798cf5f7 100644
--- a/auto-claude/integrations/graphiti/queries_pkg/graphiti.py
+++ b/auto-claude/integrations/graphiti/queries_pkg/graphiti.py
@@ -133,6 +133,26 @@ class GraphitiMemory:
logger.info("Graphiti not available - skipping initialization")
return False
+ # Check for provider changes
+ if self.state and self.state.has_provider_changed(self.config):
+ migration_info = self.state.get_migration_info(self.config)
+ logger.warning(
+ f"⚠️ Embedding provider changed: {migration_info['old_provider']} → {migration_info['new_provider']}"
+ )
+ logger.warning(
+ " This requires migration to prevent dimension mismatch errors."
+ )
+ logger.warning(
+ f" Episodes in old database: {migration_info['episode_count']}"
+ )
+ logger.warning(" Run: python integrations/graphiti/migrate_embeddings.py")
+ logger.warning(
+ f" Or start fresh by removing: {self.spec_dir / '.graphiti_state.json'}"
+ )
+ # Continue with new provider (will use new database)
+ # Reset state to use new provider
+ self.state = None
+
try:
# Create client
self._client = GraphitiClient(self.config)
@@ -336,9 +356,7 @@ class GraphitiMemory:
"enabled": self.is_enabled,
"initialized": self.is_initialized,
"database": self.config.database if self.is_enabled else None,
- "host": f"{self.config.falkordb_host}:{self.config.falkordb_port}"
- if self.is_enabled
- else None,
+ "db_path": self.config.db_path if self.is_enabled else None,
"group_id": self.group_id,
"group_id_mode": self.group_id_mode,
"llm_provider": self.config.llm_provider if self.is_enabled else None,
diff --git a/auto-claude/integrations/graphiti/queries_pkg/kuzu_driver_patched.py b/auto-claude/integrations/graphiti/queries_pkg/kuzu_driver_patched.py
new file mode 100644
index 00000000..0afe5752
--- /dev/null
+++ b/auto-claude/integrations/graphiti/queries_pkg/kuzu_driver_patched.py
@@ -0,0 +1,173 @@
+"""
+Patched KuzuDriver that properly creates FTS indexes and fixes parameter handling.
+
+The original graphiti-core KuzuDriver has two bugs:
+1. build_indices_and_constraints() is a no-op, so FTS indexes are never created
+2. execute_query() filters out None parameters, but queries still reference them
+
+This patched driver fixes both issues for LadybugDB compatibility.
+"""
+
+import logging
+from typing import Any
+
+# Import kuzu (might be real_ladybug via monkeypatch)
+try:
+ import kuzu
+except ImportError:
+ import real_ladybug as kuzu # type: ignore
+
+from graphiti_core.driver.driver import GraphProvider
+from graphiti_core.driver.kuzu_driver import KuzuDriver as OriginalKuzuDriver
+from graphiti_core.graph_queries import get_fulltext_indices
+
+logger = logging.getLogger(__name__)
+
+
+class PatchedKuzuDriver(OriginalKuzuDriver):
+ """
+ KuzuDriver with proper FTS index creation and parameter handling.
+
+ Fixes two bugs in graphiti-core:
+ 1. FTS indexes are never created (build_indices_and_constraints is a no-op)
+ 2. None parameters are filtered out, causing "Parameter not found" errors
+ """
+
+ def __init__(
+ self,
+ db: str = ":memory:",
+ max_concurrent_queries: int = 1,
+ ):
+ # Store database path before calling parent (which creates the Database)
+ self._database = db # Required by Graphiti for group_id checks
+ super().__init__(db, max_concurrent_queries)
+
+ async def execute_query(
+ self, cypher_query_: str, **kwargs: Any
+ ) -> tuple[list[dict[str, Any]] | list[list[dict[str, Any]]], None, None]:
+ """
+ Execute a Cypher query with proper None parameter handling.
+
+ The original driver filters out None values, but LadybugDB requires
+ all referenced parameters to exist. This override keeps None values
+ in the parameters dict.
+ """
+ # Don't filter out None values - LadybugDB needs them
+ params = {k: v for k, v in kwargs.items()}
+ # Still remove these unsupported parameters
+ params.pop("database_", None)
+ params.pop("routing_", None)
+
+ try:
+ results = await self.client.execute(cypher_query_, parameters=params)
+ except Exception as e:
+ # Truncate long values for logging
+ log_params = {
+ k: (v[:5] if isinstance(v, list) else v) for k, v in params.items()
+ }
+ logger.error(
+ f"Error executing Kuzu query: {e}\n{cypher_query_}\n{log_params}"
+ )
+ raise
+
+ if not results:
+ return [], None, None
+
+ if isinstance(results, list):
+ dict_results = [list(result.rows_as_dict()) for result in results]
+ else:
+ dict_results = list(results.rows_as_dict())
+ return dict_results, None, None # type: ignore
+
+ async def build_indices_and_constraints(self, delete_existing: bool = False):
+ """
+ Build FTS indexes required for Graphiti's hybrid search.
+
+ The original KuzuDriver has this as a no-op, but we need to actually
+ create the FTS indexes for search to work.
+
+ Args:
+ delete_existing: If True, drop and recreate indexes (default: False)
+ """
+ logger.info("Building FTS indexes for Kuzu/LadybugDB...")
+
+ # Get the FTS index creation queries from Graphiti
+ fts_queries = get_fulltext_indices(GraphProvider.KUZU)
+
+ # Create a sync connection for index creation
+ conn = kuzu.Connection(self.db)
+
+ try:
+ for query in fts_queries:
+ try:
+ # Check if we need to drop existing index first
+ if delete_existing:
+ # Extract index name from query
+ # Format: CALL CREATE_FTS_INDEX('TableName', 'index_name', [...])
+ parts = query.split("'")
+ if len(parts) >= 4:
+ table_name = parts[1]
+ index_name = parts[3]
+ drop_query = (
+ f"CALL DROP_FTS_INDEX('{table_name}', '{index_name}')"
+ )
+ try:
+ conn.execute(drop_query)
+ logger.debug(
+ f"Dropped existing FTS index: {index_name}"
+ )
+ except Exception:
+ # Index might not exist, that's fine
+ pass
+
+ # Create the FTS index
+ conn.execute(query)
+ logger.debug(f"Created FTS index: {query[:80]}...")
+
+ except Exception as e:
+ error_msg = str(e).lower()
+ # Handle "index already exists" gracefully
+ if "already exists" in error_msg or "duplicate" in error_msg:
+ logger.debug(
+ f"FTS index already exists (skipping): {query[:60]}..."
+ )
+ else:
+ # Log but don't fail - some indexes might fail in certain Kuzu versions
+ logger.warning(f"Failed to create FTS index: {e}")
+ logger.debug(f"Query was: {query}")
+
+ logger.info("FTS indexes created successfully")
+ finally:
+ conn.close()
+
+ def setup_schema(self):
+ """
+ Set up the database schema and install/load the FTS extension.
+
+ Extends the parent setup_schema() to properly set up FTS support.
+ """
+ conn = kuzu.Connection(self.db)
+
+ try:
+ # First, install the FTS extension (required before loading)
+ try:
+ conn.execute("INSTALL fts")
+ logger.debug("Installed FTS extension")
+ except Exception as e:
+ error_msg = str(e).lower()
+ if "already" not in error_msg:
+ logger.debug(f"FTS extension install note: {e}")
+
+ # Then load the FTS extension
+ try:
+ conn.execute("LOAD EXTENSION fts")
+ logger.debug("Loaded FTS extension")
+ except Exception as e:
+ error_msg = str(e).lower()
+ if "already loaded" not in error_msg:
+ logger.debug(f"FTS extension load note: {e}")
+ finally:
+ conn.close()
+
+ # Run the parent schema setup (creates tables)
+ super().setup_schema()
diff --git a/auto-claude/integrations/graphiti/test_graphiti_memory.py b/auto-claude/integrations/graphiti/test_graphiti_memory.py
index 3004bd5c..b2a9a875 100644
--- a/auto-claude/integrations/graphiti/test_graphiti_memory.py
+++ b/auto-claude/integrations/graphiti/test_graphiti_memory.py
@@ -1,70 +1,77 @@
#!/usr/bin/env python3
"""
-Test Script for Graphiti Memory Integration V2
-==============================================
+Test Script for Memory Integration with LadybugDB
+=================================================
-This script tests the hybrid memory layer (graph + semantic search) to verify
-data is being saved and retrieved correctly from FalkorDB.
+This script tests the memory layer (graph + semantic search) to verify
+data is being saved and retrieved correctly from LadybugDB (embedded Kuzu).
-V2 supports multiple LLM and embedding providers. Set up your preferred provider:
+LadybugDB is an embedded graph database - no Docker required!
Usage:
# Set environment variables first (or in .env file):
export GRAPHITI_ENABLED=true
- export GRAPHITI_LLM_PROVIDER=openai # or: anthropic, azure_openai, ollama
- export GRAPHITI_EMBEDDER_PROVIDER=openai # or: voyage, azure_openai, ollama
+ export GRAPHITI_EMBEDDER_PROVIDER=ollama # or: openai, voyage, azure_openai, google
- # Provider-specific credentials (set based on your chosen providers):
- # OpenAI:
- export OPENAI_API_KEY=sk-...
-
- # Anthropic (LLM only, needs separate embedder):
- export ANTHROPIC_API_KEY=sk-ant-...
-
- # Voyage AI (embeddings only):
- export VOYAGE_API_KEY=...
-
- # Azure OpenAI:
- export AZURE_OPENAI_API_KEY=...
- export AZURE_OPENAI_BASE_URL=https://...
- export AZURE_OPENAI_LLM_DEPLOYMENT=gpt-5
- export AZURE_OPENAI_EMBEDDING_DEPLOYMENT=text-embedding-3-small
-
- # Ollama (local):
- export OLLAMA_LLM_MODEL=deepseek-r1:7b
- export OLLAMA_EMBEDDING_MODEL=nomic-embed-text
+ # For Ollama (recommended - free, local):
+ export OLLAMA_EMBEDDING_MODEL=embeddinggemma
export OLLAMA_EMBEDDING_DIM=768
- # FalkorDB (optional - uses defaults localhost:6380):
- export GRAPHITI_FALKORDB_HOST=localhost
- export GRAPHITI_FALKORDB_PORT=6380
+ # For OpenAI:
+ export OPENAI_API_KEY=sk-...
# Run the test:
- python auto-claude/test_graphiti_memory.py
+ cd auto-claude
+ python integrations/graphiti/test_graphiti_memory.py
+
+ # Or run specific tests:
+ python integrations/graphiti/test_graphiti_memory.py --test connection
+ python integrations/graphiti/test_graphiti_memory.py --test save
+ python integrations/graphiti/test_graphiti_memory.py --test search
+ python integrations/graphiti/test_graphiti_memory.py --test ollama
"""
+import argparse
import asyncio
import json
+import os
import sys
from datetime import datetime, timezone
from pathlib import Path
# Add auto-claude to path
-sys.path.insert(0, str(Path(__file__).parent))
+auto_claude_dir = Path(__file__).parent.parent.parent
+sys.path.insert(0, str(auto_claude_dir))
# Load .env file
-from dotenv import load_dotenv
+try:
+ from dotenv import load_dotenv
-env_file = Path(__file__).parent / ".env"
-if env_file.exists():
- load_dotenv(env_file)
- print(f"Loaded .env from {env_file}")
+ env_file = auto_claude_dir / ".env"
+ if env_file.exists():
+ load_dotenv(env_file)
+ print(f"Loaded .env from {env_file}")
+except ImportError:
+ print("Note: python-dotenv not installed, using environment variables only")
-from graphiti_config import (
- GraphitiConfig,
- get_graphiti_status,
- is_graphiti_enabled,
-)
+
+def apply_ladybug_monkeypatch():
+ """Apply LadybugDB monkeypatch for embedded database support."""
+ try:
+ import real_ladybug
+
+ sys.modules["kuzu"] = real_ladybug
+ return True
+ except ImportError:
+ pass
+
+ # Try native kuzu as fallback
+ try:
+ import kuzu # noqa: F401
+
+ return True
+ except ImportError:
+ return False
def print_header(title: str):
@@ -80,121 +87,102 @@ def print_result(label: str, value: str, success: bool = True):
print(f" {status} {label}: {value}")
-async def test_connection():
- """Test basic FalkorDB connection and provider configuration."""
- print_header("1. Testing FalkorDB Connection & Providers")
+def print_info(message: str):
+ """Print an info line."""
+ print(f" ℹ️ {message}")
- config = GraphitiConfig.from_env()
- print(f" Host: {config.falkordb_host}")
- print(f" Port: {config.falkordb_port}")
- print(f" Database: {config.database}")
- print(f" LLM Provider: {config.llm_provider}")
- print(f" Embedder Provider: {config.embedder_provider}")
+async def test_ladybugdb_connection(db_path: str, database: str) -> bool:
+ """Test basic LadybugDB connection."""
+ print_header("1. Testing LadybugDB Connection")
+
+ print(f" Database path: {db_path}")
+ print(f" Database name: {database}")
print()
+ if not apply_ladybug_monkeypatch():
+ print_result("LadybugDB", "Not installed (pip install real-ladybug)", False)
+ return False
+
+ print_result("LadybugDB", "Installed", True)
+
try:
- from graphiti_core import Graphiti
- from graphiti_core.driver.falkordb_driver import FalkorDriver
- from graphiti_providers import ProviderError, create_embedder, create_llm_client
+ import kuzu # This is real_ladybug via monkeypatch
- # Test provider creation
- print(" Creating LLM client...")
- try:
- llm_client = create_llm_client(config)
- print_result("LLM Client", f"Created for {config.llm_provider}", True)
- except ProviderError as e:
- print_result("LLM Client", f"FAILED: {e}", False)
+ # Ensure parent directory exists (database will create its own structure)
+ full_path = Path(db_path) / database
+ full_path.parent.mkdir(parents=True, exist_ok=True)
+
+ # Create database and connection
+ db = kuzu.Database(str(full_path))
+ conn = kuzu.Connection(db)
+
+ # Test basic query
+ result = conn.execute("RETURN 1 + 1 as test")
+ df = result.get_as_df()
+ test_value = df["test"].iloc[0] if len(df) > 0 else None
+
+ if test_value == 2:
+ print_result("Connection", "SUCCESS - Database responds correctly", True)
+ return True
+ else:
+ print_result("Connection", f"Unexpected result: {test_value}", False)
return False
- print(" Creating embedder...")
- try:
- embedder = create_embedder(config)
- print_result("Embedder", f"Created for {config.embedder_provider}", True)
- except ProviderError as e:
- print_result("Embedder", f"FAILED: {e}", False)
- return False
-
- # Try to connect to FalkorDB
- print(" Connecting to FalkorDB...")
- driver = FalkorDriver(
- host=config.falkordb_host,
- port=config.falkordb_port,
- password=config.falkordb_password or None,
- database=config.database,
- )
-
- graphiti = Graphiti(
- graph_driver=driver,
- llm_client=llm_client,
- embedder=embedder,
- )
-
- # Try building indices
- print(" Building indices...")
- await graphiti.build_indices_and_constraints()
-
- print_result("Connection", "SUCCESS", True)
-
- await graphiti.close()
- return True
-
except Exception as e:
print_result("Connection", f"FAILED: {e}", False)
return False
-async def test_save_episode():
+async def test_save_episode(db_path: str, database: str) -> tuple[str, str]:
"""Test saving an episode to the graph."""
print_header("2. Testing Episode Save")
- config = GraphitiConfig.from_env()
-
try:
- from graphiti_core import Graphiti
- from graphiti_core.driver.falkordb_driver import FalkorDriver
- from graphiti_core.nodes import EpisodeType
- from graphiti_providers import create_embedder, create_llm_client
+ from integrations.graphiti.config import GraphitiConfig
+ from integrations.graphiti.queries_pkg.client import GraphitiClient
- # Create providers using factory
- llm_client = create_llm_client(config)
- embedder = create_embedder(config)
+ # Create config
+ config = GraphitiConfig.from_env()
+ config.db_path = db_path
+ config.database = database
+ config.enabled = True
- # Connect
- driver = FalkorDriver(
- host=config.falkordb_host,
- port=config.falkordb_port,
- password=config.falkordb_password or None,
- database=config.database,
- )
+ print(f" Embedder provider: {config.embedder_provider}")
+ print()
- graphiti = Graphiti(
- graph_driver=driver,
- llm_client=llm_client,
- embedder=embedder,
- )
- await graphiti.build_indices_and_constraints()
+ # Initialize client
+ client = GraphitiClient(config)
+ initialized = await client.initialize()
- # Create test episode
+ if not initialized:
+ print_result("Client Init", "Failed to initialize", False)
+ return None, None
+
+ print_result("Client Init", "SUCCESS", True)
+
+ # Create test episode data
test_data = {
"type": "test_episode",
"timestamp": datetime.now(timezone.utc).isoformat(),
- "test_field": "Hello from test script!",
+ "test_field": "Hello from LadybugDB test!",
"test_number": 42,
- "test_list": ["item1", "item2", "item3"],
+ "embedder": config.embedder_provider,
}
episode_name = f"test_episode_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
- group_id = "graphiti_test_group"
+ group_id = "ladybug_test_group"
print(f" Episode name: {episode_name}")
print(f" Group ID: {group_id}")
print(f" Data: {json.dumps(test_data, indent=4)}")
print()
- # Save the episode
+ # Save using Graphiti
+ from graphiti_core.nodes import EpisodeType
+
print(" Saving episode...")
- await graphiti.add_episode(
+ await client.graphiti.add_episode(
name=episode_name,
episode_body=json.dumps(test_data),
source=EpisodeType.text,
@@ -205,9 +193,12 @@ async def test_save_episode():
print_result("Episode Save", "SUCCESS", True)
- await graphiti.close()
+ await client.close()
return episode_name, group_id
+ except ImportError as e:
+ print_result("Import", f"Missing dependency: {e}", False)
+ return None, None
except Exception as e:
print_result("Episode Save", f"FAILED: {e}", False)
import traceback
@@ -216,84 +207,231 @@ async def test_save_episode():
return None, None
-async def test_search(group_id: str):
- """Test semantic search."""
- print_header("3. Testing Semantic Search")
+async def test_keyword_search(db_path: str, database: str) -> bool:
+ """Test keyword search (works without embeddings)."""
+ print_header("3. Testing Keyword Search")
- if not group_id:
- print(" ⚠️ Skipping - no group_id from previous test")
- return
-
- config = GraphitiConfig.from_env()
+ if not apply_ladybug_monkeypatch():
+ print_result("LadybugDB", "Not installed", False)
+ return False
try:
- from graphiti_core import Graphiti
- from graphiti_core.driver.falkordb_driver import FalkorDriver
- from graphiti_providers import create_embedder, create_llm_client
+ import kuzu
- # Create providers using factory
- llm_client = create_llm_client(config)
- embedder = create_embedder(config)
+ full_path = Path(db_path) / database
+ if not full_path.exists():
+ print_info("Database doesn't exist yet - run save test first")
+ return True
- # Connect
- driver = FalkorDriver(
- host=config.falkordb_host,
- port=config.falkordb_port,
- password=config.falkordb_password or None,
- database=config.database,
- )
+ db = kuzu.Database(str(full_path))
+ conn = kuzu.Connection(db)
- graphiti = Graphiti(
- graph_driver=driver,
- llm_client=llm_client,
- embedder=embedder,
- )
+ # Search for test episodes
+ search_query = "test"
+ print(f" Search query: '{search_query}'")
+ print()
- # Search for the test data
- query = "test episode hello"
- print(f' Query: "{query}"')
+ query = f"""
+ MATCH (e:Episodic)
+ WHERE toLower(e.name) CONTAINS '{search_query}'
+ OR toLower(e.content) CONTAINS '{search_query}'
+ RETURN e.name as name, e.content as content
+ LIMIT 5
+ """
+
+ try:
+ result = conn.execute(query)
+ df = result.get_as_df()
+
+ print(f" Found {len(df)} results:")
+ for _, row in df.iterrows():
+ name = row.get("name", "unknown")[:50]
+ content = str(row.get("content", ""))[:60]
+ print(f" - {name}: {content}...")
+
+ print_result("Keyword Search", f"Found {len(df)} results", True)
+ return True
+
+ except Exception as e:
+ if "Episodic" in str(e) and "not exist" in str(e).lower():
+ print_info("Episodic table doesn't exist yet - run save test first")
+ return True
+ raise
+
+ except Exception as e:
+ print_result("Keyword Search", f"FAILED: {e}", False)
+ return False
+
+
+async def test_semantic_search(db_path: str, database: str, group_id: str) -> bool:
+ """Test semantic search using embeddings."""
+ print_header("4. Testing Semantic Search")
+
+ if not group_id:
+ print_info("Skipping - no group_id from save test")
+ return True
+
+ try:
+ from integrations.graphiti.config import GraphitiConfig
+ from integrations.graphiti.queries_pkg.client import GraphitiClient
+
+ # Create config
+ config = GraphitiConfig.from_env()
+ config.db_path = db_path
+ config.database = database
+ config.enabled = True
+
+ if not config.embedder_provider:
+ print_info("No embedder configured - semantic search requires embeddings")
+ return True
+
+ print(f" Embedder: {config.embedder_provider}")
+ print()
+
+ # Initialize client
+ client = GraphitiClient(config)
+ initialized = await client.initialize()
+
+ if not initialized:
+ print_result("Client Init", "Failed", False)
+ return False
+
+ # Search
+ query = "test episode hello LadybugDB"
+ print(f" Query: '{query}'")
print(f" Group ID: {group_id}")
print()
print(" Searching...")
- results = await graphiti.search(
+ results = await client.graphiti.search(
query=query,
group_ids=[group_id],
num_results=10,
)
print(f" Found {len(results)} results:")
- for i, result in enumerate(results):
- print(f"\n Result {i + 1}:")
+ for i, result in enumerate(results[:5]):
# Print available attributes
- for attr in ["fact", "content", "uuid", "name", "score"]:
- if hasattr(result, attr):
- val = getattr(result, attr)
- if val:
- print(f" {attr}: {str(val)[:100]}...")
+ if hasattr(result, "fact") and result.fact:
+ print(f" {i + 1}. [fact] {str(result.fact)[:80]}...")
+ elif hasattr(result, "content") and result.content:
+ print(f" {i + 1}. [content] {str(result.content)[:80]}...")
+ elif hasattr(result, "name"):
+ print(f" {i + 1}. [name] {str(result.name)[:80]}...")
+
+ await client.close()
if results:
- print_result("Search", f"SUCCESS - Found {len(results)} results", True)
+ print_result(
+ "Semantic Search", f"SUCCESS - Found {len(results)} results", True
+ )
else:
- print_result("Search", "WARNING - No results found", False)
+ print_result(
+ "Semantic Search", "No results (may need time for embedding)", False
+ )
- await graphiti.close()
+ return len(results) > 0
except Exception as e:
- print_result("Search", f"FAILED: {e}", False)
+ print_result("Semantic Search", f"FAILED: {e}", False)
import traceback
traceback.print_exc()
+ return False
-async def test_graphiti_memory_class():
- """Test the GraphitiMemory wrapper class."""
- print_header("4. Testing GraphitiMemory Class")
+async def test_ollama_embeddings() -> bool:
+ """Test Ollama embedding generation directly."""
+ print_header("5. Testing Ollama Embeddings")
+
+ ollama_model = os.environ.get("OLLAMA_EMBEDDING_MODEL", "embeddinggemma")
+ ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
+
+ print(f" Model: {ollama_model}")
+ print(f" Base URL: {ollama_base_url}")
+ print()
try:
- from graphiti_memory import GraphitiMemory
+ import requests
- # Create a temporary spec directory for testing
+ # Check Ollama status
+ print(" Checking Ollama status...")
+ try:
+ resp = requests.get(f"{ollama_base_url}/api/tags", timeout=5)
+ if resp.status_code != 200:
+ print_result(
+ "Ollama", f"Not responding (status {resp.status_code})", False
+ )
+ return False
+
+ models = [m["name"] for m in resp.json().get("models", [])]
+ embedding_models = [
+ m for m in models if "embed" in m.lower() or "gemma" in m.lower()
+ ]
+ print_result("Ollama", f"Running with {len(models)} models", True)
+ print(f" Embedding models: {embedding_models}")
+
+ except requests.exceptions.ConnectionError:
+ print_result("Ollama", "Not running - start with 'ollama serve'", False)
+ return False
+
+ # Test embedding generation
+ print()
+ print(" Generating test embedding...")
+
+ test_text = (
+ "This is a test embedding for Auto Claude memory system using LadybugDB."
+ )
+
+ resp = requests.post(
+ f"{ollama_base_url}/api/embeddings",
+ json={"model": ollama_model, "prompt": test_text},
+ timeout=30,
+ )
+
+ if resp.status_code == 200:
+ data = resp.json()
+ embedding = data.get("embedding", [])
+ print_result("Embedding", f"SUCCESS - {len(embedding)} dimensions", True)
+ print(f" First 5 values: {embedding[:5]}")
+
+ # Verify dimension matches config
+ expected_dim = int(os.environ.get("OLLAMA_EMBEDDING_DIM", 768))
+ if len(embedding) == expected_dim:
+ print_result("Dimension", f"Matches expected ({expected_dim})", True)
+ else:
+ print_result(
+ "Dimension",
+ f"Mismatch! Got {len(embedding)}, expected {expected_dim}",
+ False,
+ )
+ print_info(
+ f"Update OLLAMA_EMBEDDING_DIM={len(embedding)} in your config"
+ )
+
+ return True
+ else:
+ print_result(
+ "Embedding", f"FAILED: {resp.status_code} - {resp.text}", False
+ )
+ return False
+
+ except ImportError:
+ print_result("requests", "Not installed (pip install requests)", False)
+ return False
+ except Exception as e:
+ print_result("Ollama Embeddings", f"FAILED: {e}", False)
+ return False
+
+
+async def test_graphiti_memory_class(db_path: str, database: str) -> bool:
+ """Test the GraphitiMemory wrapper class."""
+ print_header("6. Testing GraphitiMemory Class")
+
+ try:
+ from integrations.graphiti.memory import GraphitiMemory
+
+ # Create temporary directories for testing
test_spec_dir = Path("/tmp/graphiti_test_spec")
test_spec_dir.mkdir(parents=True, exist_ok=True)
@@ -304,6 +442,10 @@ async def test_graphiti_memory_class():
print(f" Project dir: {test_project_dir}")
print()
+ # Override database path via environment
+ os.environ["GRAPHITI_DB_PATH"] = db_path
+ os.environ["GRAPHITI_DATABASE"] = database
+
# Create memory instance
memory = GraphitiMemory(test_spec_dir, test_project_dir)
@@ -312,28 +454,30 @@ async def test_graphiti_memory_class():
print()
if not memory.is_enabled:
- print_result("GraphitiMemory", "Graphiti not enabled/configured", False)
- return
+ print_info("GraphitiMemory not enabled - check GRAPHITI_ENABLED=true")
+ return True
# Initialize
print(" Initializing...")
init_result = await memory.initialize()
- print(f" Initialized: {init_result}")
if not init_result:
- print_result("GraphitiMemory Init", "Failed to initialize", False)
- return
+ print_result("Initialize", "Failed", False)
+ return False
+
+ print_result("Initialize", "SUCCESS", True)
# Test save_session_insights
- print("\n Testing save_session_insights...")
+ print()
+ print(" Testing save_session_insights...")
insights = {
- "subtasks_completed": ["subtask-test-1", "subtask-test-2"],
+ "subtasks_completed": ["test-subtask-1"],
"discoveries": {
- "files_understood": {"test.py": "Test file purpose"},
- "patterns_found": ["Pattern: Using async/await"],
- "gotchas_encountered": ["Gotcha: Need to handle edge case"],
+ "files_understood": {"test.py": "Test file"},
+ "patterns_found": ["Pattern: LadybugDB works!"],
+ "gotchas_encountered": [],
},
- "what_worked": ["Using the GraphitiMemory class"],
+ "what_worked": ["Using embedded database"],
"what_failed": [],
"recommendations_for_next_session": ["Continue testing"],
}
@@ -346,247 +490,230 @@ async def test_graphiti_memory_class():
)
# Test save_pattern
- print("\n Testing save_pattern...")
+ print()
+ print(" Testing save_pattern...")
pattern_result = await memory.save_pattern(
- "Test pattern: Always validate inputs before processing"
+ "LadybugDB pattern: Embedded graph database works without Docker"
)
print_result(
"save_pattern", "SUCCESS" if pattern_result else "FAILED", pattern_result
)
- # Test save_gotcha
- print("\n Testing save_gotcha...")
- gotcha_result = await memory.save_gotcha(
- "Gotcha: FalkorDB requires Redis protocol on port 6380"
- )
- print_result(
- "save_gotcha", "SUCCESS" if gotcha_result else "FAILED", gotcha_result
- )
+ # Test get_relevant_context
+ print()
+ print(" Testing get_relevant_context...")
+ await asyncio.sleep(1) # Brief wait for processing
- # Test save_codebase_discoveries
- print("\n Testing save_codebase_discoveries...")
- discoveries = {
- "graphiti_memory.py": "Manages graph-based persistent memory",
- "graphiti_config.py": "Configuration for FalkorDB connection",
- }
- discovery_result = await memory.save_codebase_discoveries(discoveries)
- print_result(
- "save_codebase_discoveries",
- "SUCCESS" if discovery_result else "FAILED",
- discovery_result,
- )
+ context = await memory.get_relevant_context("LadybugDB embedded database")
+ print(f" Found {len(context)} context items")
- # Test get_relevant_context (semantic search)
- print("\n Testing get_relevant_context (waiting for embedding processing)...")
- await asyncio.sleep(2) # Give time for embeddings
-
- context = await memory.get_relevant_context("graphiti memory session insights")
- print(f" Found {len(context)} context items:")
for item in context[:3]:
- print(f" - Type: {item.get('type', 'unknown')}")
- print(f" Content: {str(item.get('content', ''))[:80]}...")
+ item_type = item.get("type", "unknown")
+ content = str(item.get("content", ""))[:60]
+ print(f" - [{item_type}] {content}...")
- print_result(
- "get_relevant_context", f"Found {len(context)} items", len(context) > 0
- )
+ print_result("get_relevant_context", f"Found {len(context)} items", True)
- # Get status summary
- print("\n Status summary:")
+ # Get status
+ print()
+ print(" Status summary:")
status = memory.get_status_summary()
for key, value in status.items():
print(f" {key}: {value}")
await memory.close()
- print_result("GraphitiMemory", "All tests completed", True)
+ print_result("GraphitiMemory", "All tests passed", True)
+ return True
except ImportError as e:
- print_result("GraphitiMemory", f"Import error: {e}", False)
+ print_result("Import", f"Missing: {e}", False)
+ return False
except Exception as e:
print_result("GraphitiMemory", f"FAILED: {e}", False)
import traceback
traceback.print_exc()
+ return False
-async def test_raw_falkordb():
- """Test raw FalkorDB operations to see what's in the database."""
- print_header("5. Raw FalkorDB Query (Debug)")
+async def test_database_contents(db_path: str, database: str) -> bool:
+ """Show what's in the database (debug)."""
+ print_header("7. Database Contents (Debug)")
- config = GraphitiConfig.from_env()
+ if not apply_ladybug_monkeypatch():
+ print_result("LadybugDB", "Not installed", False)
+ return False
try:
- import redis
- from falkordb import FalkorDB
+ import kuzu
- # Connect using FalkorDB client
- db = FalkorDB(
- host=config.falkordb_host,
- port=config.falkordb_port,
- password=config.falkordb_password or None,
- )
+ full_path = Path(db_path) / database
+ if not full_path.exists():
+ print_info(f"Database doesn't exist at {full_path}")
+ return True
- # List all graphs
- graphs = db.list_graphs()
- print(f" Available graphs: {graphs}")
+ db = kuzu.Database(str(full_path))
+ conn = kuzu.Connection(db)
- # Query the main graph
- graph_name = config.database
- print(f"\n Querying graph: {graph_name}")
+ # Get table info
+ print(" Checking tables...")
- graph = db.select_graph(graph_name)
+ tables_to_check = ["Episodic", "Entity", "Community"]
- # Count nodes
- result = graph.query("MATCH (n) RETURN count(n) as count")
- node_count = result.result_set[0][0] if result.result_set else 0
- print(f" Total nodes: {node_count}")
+ for table in tables_to_check:
+ try:
+ result = conn.execute(f"MATCH (n:{table}) RETURN count(n) as count")
+ df = result.get_as_df()
+ count = df["count"].iloc[0] if len(df) > 0 else 0
+ print(f" {table}: {count} nodes")
+ except Exception as e:
+ if "not exist" in str(e).lower() or "cannot" in str(e).lower():
+ print(f" {table}: (table not created yet)")
+ else:
+ print(f" {table}: Error - {e}")
- # Count edges
- result = graph.query("MATCH ()-[r]->() RETURN count(r) as count")
- edge_count = result.result_set[0][0] if result.result_set else 0
- print(f" Total edges: {edge_count}")
+ # Show sample episodic nodes
+ print()
+ print(" Sample Episodic nodes:")
+ try:
+ result = conn.execute("""
+ MATCH (e:Episodic)
+ RETURN e.name as name, e.created_at as created
+ ORDER BY e.created_at DESC
+ LIMIT 5
+ """)
+ df = result.get_as_df()
- # Get node labels
- result = graph.query("MATCH (n) RETURN DISTINCT labels(n)")
- labels = [r[0] for r in result.result_set] if result.result_set else []
- print(f" Node labels: {labels}")
+ if len(df) == 0:
+ print(" (none)")
+ else:
+ for _, row in df.iterrows():
+ print(f" - {row.get('name', 'unknown')}")
+ except Exception as e:
+ if "Episodic" in str(e):
+ print(" (table not created yet)")
+ else:
+ print(f" Error: {e}")
- # Get sample nodes
- print("\n Sample nodes:")
- result = graph.query("MATCH (n) RETURN n LIMIT 5")
- for i, row in enumerate(result.result_set or []):
- print(f" {i + 1}. {row}")
+ print_result("Database Contents", "Displayed", True)
+ return True
- # Get episode nodes specifically
- print("\n Episode nodes:")
- result = graph.query(
- "MATCH (n:Episode) RETURN n.name, n.source_description LIMIT 5"
- )
- for i, row in enumerate(result.result_set or []):
- print(f" {i + 1}. name={row[0]}, desc={row[1]}")
-
- # Get entity nodes
- print("\n Entity nodes:")
- result = graph.query("MATCH (n:Entity) RETURN n.name, n.summary LIMIT 5")
- for i, row in enumerate(result.result_set or []):
- print(f" {i + 1}. name={row[0]}, summary={str(row[1])[:50]}...")
-
- print_result(
- "Raw FalkorDB", f"Graph has {node_count} nodes, {edge_count} edges", True
- )
-
- except ImportError as e:
- print_result("Raw FalkorDB", f"Import error (install falkordb): {e}", False)
except Exception as e:
- print_result("Raw FalkorDB", f"FAILED: {e}", False)
- import traceback
-
- traceback.print_exc()
+ print_result("Database Contents", f"FAILED: {e}", False)
+ return False
async def main():
"""Run all tests."""
- print("\n" + "=" * 60)
- print(" GRAPHITI MEMORY TEST SUITE")
- print("=" * 60)
-
- # Check configuration first
- print_header("0. Configuration Check")
-
- config = GraphitiConfig.from_env()
- status = get_graphiti_status()
-
- print_result("GRAPHITI_ENABLED", str(config.enabled), config.enabled)
- print_result("LLM Provider", config.llm_provider, True)
- print_result("Embedder Provider", config.embedder_provider, True)
- print_result("FalkorDB host", config.falkordb_host, True)
- print_result("FalkorDB port", str(config.falkordb_port), True)
- print_result("Database", config.database, True)
- print_result(
- "is_graphiti_enabled()", str(is_graphiti_enabled()), is_graphiti_enabled()
+ parser = argparse.ArgumentParser(description="Test Memory System with LadybugDB")
+ parser.add_argument(
+ "--test",
+ choices=[
+ "all",
+ "connection",
+ "save",
+ "keyword",
+ "semantic",
+ "ollama",
+ "memory",
+ "contents",
+ ],
+ default="all",
+ help="Which test to run",
+ )
+ parser.add_argument(
+ "--db-path",
+ default=os.path.expanduser("~/.auto-claude/memories"),
+ help="Database path",
+ )
+ parser.add_argument(
+ "--database",
+ default="test_memory",
+ help="Database name (use 'test_memory' for testing)",
)
- # Show provider-specific configuration
- if config.llm_provider == "openai":
+ args = parser.parse_args()
+
+ print("\n" + "=" * 60)
+ print(" MEMORY SYSTEM TEST SUITE (LadybugDB)")
+ print("=" * 60)
+
+ # Configuration check
+ print_header("0. Configuration Check")
+
+ print(f" Database path: {args.db_path}")
+ print(f" Database name: {args.database}")
+ print()
+
+ # Check environment
+ graphiti_enabled = os.environ.get("GRAPHITI_ENABLED", "").lower() == "true"
+ embedder_provider = os.environ.get("GRAPHITI_EMBEDDER_PROVIDER", "")
+
+ print_result("GRAPHITI_ENABLED", str(graphiti_enabled), graphiti_enabled)
+ print_result(
+ "GRAPHITI_EMBEDDER_PROVIDER",
+ embedder_provider or "(not set)",
+ bool(embedder_provider),
+ )
+
+ if embedder_provider == "ollama":
+ ollama_model = os.environ.get("OLLAMA_EMBEDDING_MODEL", "")
+ ollama_dim = os.environ.get("OLLAMA_EMBEDDING_DIM", "")
print_result(
- "OPENAI_API_KEY set",
- "Yes" if config.openai_api_key else "No",
- bool(config.openai_api_key),
+ "OLLAMA_EMBEDDING_MODEL", ollama_model or "(not set)", bool(ollama_model)
)
- elif config.llm_provider == "anthropic":
print_result(
- "ANTHROPIC_API_KEY set",
- "Yes" if config.anthropic_api_key else "No",
- bool(config.anthropic_api_key),
+ "OLLAMA_EMBEDDING_DIM", ollama_dim or "(not set)", bool(ollama_dim)
)
- elif config.llm_provider == "ollama":
- print_result(
- "OLLAMA_LLM_MODEL",
- config.ollama_llm_model or "Not set",
- bool(config.ollama_llm_model),
+ elif embedder_provider == "openai":
+ has_key = bool(os.environ.get("OPENAI_API_KEY"))
+ print_result("OPENAI_API_KEY", "Set" if has_key else "Not set", has_key)
+
+ # Run tests based on selection
+ test = args.test
+ group_id = None
+
+ if test in ["all", "connection"]:
+ await test_ladybugdb_connection(args.db_path, args.database)
+
+ if test in ["all", "ollama"]:
+ await test_ollama_embeddings()
+
+ if test in ["all", "save"]:
+ _, group_id = await test_save_episode(args.db_path, args.database)
+ if group_id:
+ print("\n Waiting 2 seconds for embedding processing...")
+ await asyncio.sleep(2)
+
+ if test in ["all", "keyword"]:
+ await test_keyword_search(args.db_path, args.database)
+
+ if test in ["all", "semantic"]:
+ await test_semantic_search(
+ args.db_path, args.database, group_id or "ladybug_test_group"
)
- if config.embedder_provider == "openai":
- print_result(
- "OPENAI_API_KEY set (embedder)",
- "Yes" if config.openai_api_key else "No",
- bool(config.openai_api_key),
- )
- elif config.embedder_provider == "voyage":
- print_result(
- "VOYAGE_API_KEY set",
- "Yes" if config.voyage_api_key else "No",
- bool(config.voyage_api_key),
- )
- elif config.embedder_provider == "ollama":
- print_result(
- "OLLAMA_EMBEDDING_MODEL",
- config.ollama_embedding_model or "Not set",
- bool(config.ollama_embedding_model),
- )
- print_result(
- "OLLAMA_EMBEDDING_DIM",
- str(config.ollama_embedding_dim)
- if config.ollama_embedding_dim
- else "Not set",
- bool(config.ollama_embedding_dim),
- )
+ if test in ["all", "memory"]:
+ await test_graphiti_memory_class(args.db_path, args.database)
- if not is_graphiti_enabled():
- print("\n ⚠️ Graphiti is not enabled or misconfigured!")
- print(" Make sure to set these environment variables:")
- print(" export GRAPHITI_ENABLED=true")
- print(
- " export GRAPHITI_LLM_PROVIDER=openai # or anthropic, azure_openai, ollama"
- )
- print(
- " export GRAPHITI_EMBEDDER_PROVIDER=openai # or voyage, azure_openai, ollama"
- )
- print(" # Plus provider-specific credentials (see docstring for examples)")
- print()
- if status.get("reason"):
- print(f" Reason: {status['reason']}")
- if status.get("errors"):
- print(f" Errors: {status['errors']}")
- return
-
- # Run tests
- conn_ok = await test_connection()
-
- if conn_ok:
- episode_name, group_id = await test_save_episode()
-
- # Wait a bit for embeddings to process
- if episode_name:
- print("\n Waiting 3 seconds for embedding processing...")
- await asyncio.sleep(3)
-
- await test_search(group_id)
- await test_graphiti_memory_class()
- await test_raw_falkordb()
+ if test in ["all", "contents"]:
+ await test_database_contents(args.db_path, args.database)
print_header("TEST SUMMARY")
print(" Tests completed. Check the results above for any failures.")
print()
+ print(" Quick commands:")
+ print(" # Run all tests:")
+ print(" python integrations/graphiti/test_graphiti_memory.py")
+ print()
+ print(" # Test just Ollama embeddings:")
+ print(" python integrations/graphiti/test_graphiti_memory.py --test ollama")
+ print()
+ print(" # Test with production database:")
+ print(
+ " python integrations/graphiti/test_graphiti_memory.py --database auto_claude_memory"
+ )
+ print()
if __name__ == "__main__":
diff --git a/auto-claude/integrations/graphiti/test_provider_naming.py b/auto-claude/integrations/graphiti/test_provider_naming.py
new file mode 100644
index 00000000..4fce56b7
--- /dev/null
+++ b/auto-claude/integrations/graphiti/test_provider_naming.py
@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+Quick test to demonstrate provider-specific database naming.
+
+Shows how Auto Claude automatically generates provider-specific database names
+to prevent embedding dimension mismatches.
+"""
+
+import os
+import sys
+from pathlib import Path
+
+# Add auto-claude to path
+sys.path.insert(0, str(Path(__file__).parent.parent.parent))
+
+from integrations.graphiti.config import GraphitiConfig
+
+
+def test_provider_naming():
+ """Demonstrate provider-specific database naming."""
+
+ print("\n" + "=" * 70)
+ print(" PROVIDER-SPECIFIC DATABASE NAMING")
+ print("=" * 70 + "\n")
+
+ providers = [
+ ("openai", None, None),
+ ("ollama", "embeddinggemma", 768),
+ ("ollama", "qwen3-embedding:0.6b", 1024),
+ ("voyage", None, None),
+ ("google", None, None),
+ ]
+
+ for provider, model, dim in providers:
+ # Create config
+ config = GraphitiConfig.from_env()
+ config.embedder_provider = provider
+
+ if provider == "ollama" and model:
+ config.ollama_embedding_model = model
+ if dim:
+ config.ollama_embedding_dim = dim
+
+ # Get naming info
+ dimension = config.get_embedding_dimension()
+ signature = config.get_provider_signature()
+ db_name = config.get_provider_specific_database_name("auto_claude_memory")
+
+ print(f"Provider: {provider}")
+ if model:
+ print(f" Model: {model}")
+ print(f" Embedding Dimension: {dimension}")
+ print(f" Provider Signature: {signature}")
+ print(f" Database Name: {db_name}")
+ print(f" Full Path: ~/.auto-claude/memories/{db_name}/")
+ print()
+
+ print("=" * 70)
+ print("\nKey Benefits:")
+ print(" ✅ No dimension mismatch errors")
+ print(" ✅ Each provider uses its own database")
+ print(" ✅ Can switch providers without conflicts")
+ print(" ✅ Migration utility available for data transfer")
+ print()
+
+
+if __name__ == "__main__":
+ test_provider_naming()
diff --git a/auto-claude/merge/file_evolution/modification_tracker.py b/auto-claude/merge/file_evolution/modification_tracker.py
index c30d8848..b4cc281a 100644
--- a/auto-claude/merge/file_evolution/modification_tracker.py
+++ b/auto-claude/merge/file_evolution/modification_tracker.py
@@ -129,6 +129,7 @@ class ModificationTracker:
task_id: str,
worktree_path: Path,
evolutions: dict[str, FileEvolution],
+ target_branch: str | None = None,
) -> None:
"""
Refresh task snapshots by analyzing git diff from worktree.
@@ -140,18 +141,25 @@ class ModificationTracker:
task_id: The task identifier
worktree_path: Path to the task's worktree
evolutions: Current evolution data (will be updated)
+ target_branch: Branch to compare against (default: detect from worktree)
"""
+ # Determine the target branch to compare against
+ if not target_branch:
+ # Try to detect the base branch from the worktree's upstream
+ target_branch = self._detect_target_branch(worktree_path)
+
debug(
MODULE,
f"refresh_from_git() for task {task_id}",
task_id=task_id,
worktree_path=str(worktree_path),
+ target_branch=target_branch,
)
try:
- # Get list of files changed in the worktree
+ # Get list of files changed in the worktree vs target branch
result = subprocess.run(
- ["git", "diff", "--name-only", "main...HEAD"],
+ ["git", "diff", "--name-only", f"{target_branch}...HEAD"],
cwd=worktree_path,
capture_output=True,
text=True,
@@ -170,17 +178,17 @@ class ModificationTracker:
for file_path in changed_files:
# Get the diff for this file
diff_result = subprocess.run(
- ["git", "diff", "main...HEAD", "--", file_path],
+ ["git", "diff", f"{target_branch}...HEAD", "--", file_path],
cwd=worktree_path,
capture_output=True,
text=True,
check=True,
)
- # Get content before (from main) and after (current)
+ # Get content before (from target branch) and after (current)
try:
show_result = subprocess.run(
- ["git", "show", f"main:{file_path}"],
+ ["git", "show", f"{target_branch}:{file_path}"],
cwd=worktree_path,
capture_output=True,
text=True,
@@ -237,3 +245,55 @@ class ModificationTracker:
snapshot = evolution.get_task_snapshot(task_id)
if snapshot and snapshot.completed_at is None:
snapshot.completed_at = now
+
+ def _detect_target_branch(self, worktree_path: Path) -> str:
+ """
+ Detect the target branch to compare against for a worktree.
+
+ This finds the branch that the worktree was created from by looking
+ at the merge-base between the worktree and common branch names.
+
+ Args:
+ worktree_path: Path to the worktree
+
+ Returns:
+ The detected target branch name, defaults to 'main' if detection fails
+ """
+ # Try to get the upstream tracking branch
+ try:
+ result = subprocess.run(
+ ["git", "rev-parse", "--abbrev-ref", "--symbolic-full-name", "@{u}"],
+ cwd=worktree_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode == 0 and result.stdout.strip():
+ upstream = result.stdout.strip()
+ # Extract branch name from origin/branch format
+ if "/" in upstream:
+ return upstream.split("/", 1)[1]
+ return upstream
+ except subprocess.CalledProcessError:
+ pass
+
+ # Try common branch names and find which one has a valid merge-base
+ for branch in ["main", "master", "develop"]:
+ try:
+ result = subprocess.run(
+ ["git", "merge-base", branch, "HEAD"],
+ cwd=worktree_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode == 0:
+ return branch
+ except subprocess.CalledProcessError:
+ continue
+
+ # Default to main
+ debug_warning(
+ MODULE,
+ "Could not detect target branch, defaulting to 'main'",
+ worktree_path=str(worktree_path),
+ )
+ return "main"
diff --git a/auto-claude/merge/file_evolution/tracker.py b/auto-claude/merge/file_evolution/tracker.py
index 16c4ac1c..c9df3b1a 100644
--- a/auto-claude/merge/file_evolution/tracker.py
+++ b/auto-claude/merge/file_evolution/tracker.py
@@ -326,6 +326,7 @@ class FileEvolutionTracker:
self,
task_id: str,
worktree_path: Path,
+ target_branch: str | None = None,
) -> None:
"""
Refresh task snapshots by analyzing git diff from worktree.
@@ -336,10 +337,12 @@ class FileEvolutionTracker:
Args:
task_id: The task identifier
worktree_path: Path to the task's worktree
+ target_branch: Branch to compare against (default: auto-detect)
"""
self.modification_tracker.refresh_from_git(
task_id=task_id,
worktree_path=worktree_path,
evolutions=self._evolutions,
+ target_branch=target_branch,
)
self._save_evolutions()
diff --git a/auto-claude/merge/orchestrator.py b/auto-claude/merge/orchestrator.py
index ceee8e7c..d02fee22 100644
--- a/auto-claude/merge/orchestrator.py
+++ b/auto-claude/merge/orchestrator.py
@@ -246,7 +246,9 @@ class MergeOrchestrator:
# Ensure evolution data is up to date
debug(MODULE, "Refreshing evolution data from git...")
- self.evolution_tracker.refresh_from_git(task_id, worktree_path)
+ self.evolution_tracker.refresh_from_git(
+ task_id, worktree_path, target_branch=target_branch
+ )
# Get files modified by this task
modifications = self.evolution_tracker.get_task_modifications(task_id)
@@ -342,7 +344,9 @@ class MergeOrchestrator:
for request in requests:
if request.worktree_path and request.worktree_path.exists():
self.evolution_tracker.refresh_from_git(
- request.task_id, request.worktree_path
+ request.task_id,
+ request.worktree_path,
+ target_branch=target_branch,
)
# Find all files modified by any task
diff --git a/auto-claude/merge/prompts.py b/auto-claude/merge/prompts.py
index 1b428e83..8b9ca37c 100644
--- a/auto-claude/merge/prompts.py
+++ b/auto-claude/merge/prompts.py
@@ -36,7 +36,7 @@ def build_timeline_merge_prompt(context: MergeContext) -> str:
# Build pending tasks section
pending_tasks_section = _build_pending_tasks_section(context)
- prompt = f'''MERGING: {context.file_path}
+ prompt = f"""MERGING: {context.file_path}
TASK: {context.task_id} ({context.task_intent.title})
{"=" * 79}
@@ -90,7 +90,7 @@ YOUR TASK:
5. OUTPUT only the complete merged file content
{"=" * 79}
-'''
+"""
return prompt
@@ -206,7 +206,7 @@ Description: {task_intent.get("description", "No description")}
base_content if base_content else "(File did not exist in common ancestor)"
)
- prompt = f'''You are a code merge expert. Merge the following conflicting versions of a file.
+ prompt = f"""You are a code merge expert. Merge the following conflicting versions of a file.
FILE: {file_path}
@@ -234,7 +234,7 @@ Output ONLY the merged code, wrapped in triple backticks:
```{language}
merged code here
```
-'''
+"""
return prompt
@@ -470,10 +470,7 @@ def extract_conflict_resolutions(
# Pattern to match resolution blocks
# --- CONFLICT_1 RESOLVED --- or similar variations
resolution_pattern = re.compile(
- r"---\s*(CONFLICT_\d+)\s*RESOLVED\s*---\s*\n"
- r"```(?:\w+)?\n"
- r"(.*?)"
- r"```",
+ r"---\s*(CONFLICT_\d+)\s*RESOLVED\s*---\s*\n" r"```(?:\w+)?\n" r"(.*?)" r"```",
re.DOTALL | re.IGNORECASE,
)
diff --git a/auto-claude/merge/timeline_git.py b/auto-claude/merge/timeline_git.py
index 49caefad..ebf0952a 100644
--- a/auto-claude/merge/timeline_git.py
+++ b/auto-claude/merge/timeline_git.py
@@ -197,19 +197,25 @@ class TimelineGitHelper:
return worktree_path.read_text(encoding="utf-8", errors="replace")
return ""
- def get_changed_files_in_worktree(self, worktree_path: Path) -> list[str]:
+ def get_changed_files_in_worktree(
+ self, worktree_path: Path, target_branch: str | None = None
+ ) -> list[str]:
"""
- Get all changed files in a worktree vs main.
+ Get all changed files in a worktree vs target branch.
Args:
worktree_path: Path to the worktree directory
+ target_branch: Branch to compare against (default: auto-detect)
Returns:
List of file paths changed in the worktree
"""
+ if not target_branch:
+ target_branch = self._detect_target_branch(worktree_path)
+
try:
result = subprocess.run(
- ["git", "diff", "--name-only", "main...HEAD"],
+ ["git", "diff", "--name-only", f"{target_branch}...HEAD"],
cwd=worktree_path,
capture_output=True,
text=True,
@@ -224,26 +230,35 @@ class TimelineGitHelper:
logger.error(f"Failed to get changed files in worktree: {e}")
return []
- def get_branch_point(self, worktree_path: Path) -> str | None:
+ def get_branch_point(
+ self, worktree_path: Path, target_branch: str | None = None
+ ) -> str | None:
"""
- Get the branch point (merge-base with main) for a worktree.
+ Get the branch point (merge-base with target branch) for a worktree.
Args:
worktree_path: Path to the worktree directory
+ target_branch: Branch to find merge-base with (default: auto-detect)
Returns:
Commit hash of the branch point, or None if error
"""
+ if not target_branch:
+ target_branch = self._detect_target_branch(worktree_path)
+
try:
result = subprocess.run(
- ["git", "merge-base", "main", "HEAD"],
+ ["git", "merge-base", target_branch, "HEAD"],
cwd=worktree_path,
capture_output=True,
text=True,
)
if result.returncode != 0:
- debug_warning(MODULE, "Could not determine branch point")
+ debug_warning(
+ MODULE,
+ f"Could not determine branch point for {target_branch}",
+ )
return None
return result.stdout.strip()
@@ -252,6 +267,50 @@ class TimelineGitHelper:
logger.error(f"Failed to get branch point: {e}")
return None
+ def _detect_target_branch(self, worktree_path: Path) -> str:
+ """
+ Detect the target branch to compare against for a worktree.
+
+ Args:
+ worktree_path: Path to the worktree
+
+ Returns:
+ The detected target branch name, defaults to 'main' if detection fails
+ """
+ # Try to get the upstream tracking branch
+ try:
+ result = subprocess.run(
+ ["git", "rev-parse", "--abbrev-ref", "--symbolic-full-name", "@{u}"],
+ cwd=worktree_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode == 0 and result.stdout.strip():
+ upstream = result.stdout.strip()
+ # Extract branch name from origin/branch format
+ if "/" in upstream:
+ return upstream.split("/", 1)[1]
+ return upstream
+ except Exception:
+ pass
+
+ # Try common branch names and find which one has a valid merge-base
+ for branch in ["main", "master", "develop"]:
+ try:
+ result = subprocess.run(
+ ["git", "merge-base", branch, "HEAD"],
+ cwd=worktree_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode == 0:
+ return branch
+ except Exception:
+ continue
+
+ # Default to main
+ return "main"
+
def count_commits_between(self, from_commit: str, to_commit: str) -> int:
"""
Count commits between two points.
diff --git a/auto-claude/merge/timeline_tracker.py b/auto-claude/merge/timeline_tracker.py
index d557747d..cd2b1063 100644
--- a/auto-claude/merge/timeline_tracker.py
+++ b/auto-claude/merge/timeline_tracker.py
@@ -525,6 +525,7 @@ class FileTimelineTracker:
worktree_path: Path,
task_intent: str = "",
task_title: str = "",
+ target_branch: str | None = None,
) -> None:
"""
Initialize timeline tracking from an existing worktree.
@@ -537,17 +538,20 @@ class FileTimelineTracker:
worktree_path: Path to the worktree directory
task_intent: Description of what the task intends to do
task_title: Short title for the task
+ target_branch: Branch to compare against (default: auto-detect)
"""
debug(MODULE, f"initialize_from_worktree: {task_id}")
try:
- # Get the branch point (merge-base with main)
- branch_point = self.git.get_branch_point(worktree_path)
+ # Get the branch point (merge-base with target branch)
+ branch_point = self.git.get_branch_point(worktree_path, target_branch)
if not branch_point:
return
# Get changed files
- changed_files = self.git.get_changed_files_in_worktree(worktree_path)
+ changed_files = self.git.get_changed_files_in_worktree(
+ worktree_path, target_branch
+ )
if not changed_files:
return
@@ -563,8 +567,14 @@ class FileTimelineTracker:
# Capture current worktree state
self.capture_worktree_state(task_id, worktree_path)
- # Calculate drift (commits behind main)
- drift = self.git.count_commits_between(branch_point, "main")
+ # Calculate drift (commits behind target branch)
+ # Use the detected target branch, or fall back to auto-detection
+ actual_target = (
+ target_branch
+ if target_branch
+ else self.git._detect_target_branch(worktree_path)
+ )
+ drift = self.git.count_commits_between(branch_point, actual_target)
for file_path in changed_files:
timeline = self._timelines.get(file_path)
if timeline:
@@ -578,6 +588,7 @@ class FileTimelineTracker:
"Initialized from worktree",
files=len(changed_files),
branch_point=branch_point[:8],
+ target_branch=actual_target,
)
except Exception as e:
diff --git a/auto-claude/ollama_model_detector.py b/auto-claude/ollama_model_detector.py
new file mode 100644
index 00000000..8ba7f865
--- /dev/null
+++ b/auto-claude/ollama_model_detector.py
@@ -0,0 +1,457 @@
+#!/usr/bin/env python3
+"""
+Ollama Model Detector for auto-claude-ui.
+
+Queries the Ollama API to detect available models, specifically focusing on
+embedding models for semantic search functionality.
+
+Usage:
+ python ollama_model_detector.py list-models [--base-url URL]
+ python ollama_model_detector.py list-embedding-models [--base-url URL]
+ python ollama_model_detector.py check-status [--base-url URL]
+
+Output:
+ JSON to stdout with structure: {"success": bool, "data": ..., "error": ...}
+"""
+
+import argparse
+import json
+import sys
+import urllib.error
+import urllib.request
+from typing import Any
+
+DEFAULT_OLLAMA_URL = "http://localhost:11434"
+
+# Known embedding models and their dimensions
+# This list helps identify embedding models from the model name
+KNOWN_EMBEDDING_MODELS = {
+ "nomic-embed-text": {"dim": 768, "description": "Nomic AI text embeddings"},
+ "embeddinggemma": {
+ "dim": 768,
+ "description": "Google EmbeddingGemma (lightweight)",
+ },
+ "qwen3-embedding": {"dim": 1024, "description": "Qwen3 Embedding (0.6B)"},
+ "qwen3-embedding:0.6b": {"dim": 1024, "description": "Qwen3 Embedding 0.6B"},
+ "qwen3-embedding:4b": {"dim": 2560, "description": "Qwen3 Embedding 4B"},
+ "qwen3-embedding:8b": {"dim": 4096, "description": "Qwen3 Embedding 8B"},
+ "bge-base-en": {"dim": 768, "description": "BAAI General Embedding - Base"},
+ "bge-large-en": {"dim": 1024, "description": "BAAI General Embedding - Large"},
+ "bge-small-en": {"dim": 384, "description": "BAAI General Embedding - Small"},
+ "bge-m3": {"dim": 1024, "description": "BAAI General Embedding M3 (multilingual)"},
+ "mxbai-embed-large": {
+ "dim": 1024,
+ "description": "MixedBread AI Embeddings - Large",
+ },
+ "all-minilm": {"dim": 384, "description": "All-MiniLM sentence embeddings"},
+ "snowflake-arctic-embed": {"dim": 1024, "description": "Snowflake Arctic Embed"},
+ "jina-embeddings-v2-base-en": {"dim": 768, "description": "Jina AI Embeddings V2"},
+ "e5-small": {"dim": 384, "description": "E5 Small embeddings"},
+ "e5-base": {"dim": 768, "description": "E5 Base embeddings"},
+ "e5-large": {"dim": 1024, "description": "E5 Large embeddings"},
+ "paraphrase-multilingual": {
+ "dim": 768,
+ "description": "Multilingual paraphrase model",
+ },
+}
+
+# Recommended embedding models for download (shown in UI)
+RECOMMENDED_EMBEDDING_MODELS = [
+ {
+ "name": "embeddinggemma",
+ "description": "Google's lightweight embedding model (768 dim)",
+ "size_estimate": "621 MB",
+ "dim": 768,
+ },
+ {
+ "name": "qwen3-embedding:0.6b",
+ "description": "Qwen3 small embedding model (1024 dim)",
+ "size_estimate": "494 MB",
+ "dim": 1024,
+ },
+ {
+ "name": "nomic-embed-text",
+ "description": "Popular general-purpose embeddings (768 dim)",
+ "size_estimate": "274 MB",
+ "dim": 768,
+ },
+ {
+ "name": "mxbai-embed-large",
+ "description": "MixedBread AI large embeddings (1024 dim)",
+ "size_estimate": "670 MB",
+ "dim": 1024,
+ },
+]
+
+# Patterns that indicate an embedding model
+EMBEDDING_PATTERNS = [
+ "embed",
+ "embedding",
+ "bge-",
+ "e5-",
+ "minilm",
+ "arctic-embed",
+ "jina-embed",
+ "nomic-embed",
+ "mxbai-embed",
+]
+
+
+def output_json(success: bool, data: Any = None, error: str | None = None) -> None:
+ """Output JSON result to stdout and exit."""
+ result = {"success": success}
+ if data is not None:
+ result["data"] = data
+ if error:
+ result["error"] = error
+ print(json.dumps(result))
+ sys.exit(0 if success else 1)
+
+
+def output_error(message: str) -> None:
+ """Output error JSON and exit with failure."""
+ output_json(False, error=message)
+
+
+def fetch_ollama_api(base_url: str, endpoint: str, timeout: int = 5) -> dict | None:
+ """Fetch data from Ollama API."""
+ url = f"{base_url.rstrip('/')}/{endpoint}"
+ try:
+ req = urllib.request.Request(url)
+ req.add_header("Content-Type", "application/json")
+
+ with urllib.request.urlopen(req, timeout=timeout) as response:
+ return json.loads(response.read().decode())
+ except urllib.error.URLError as e:
+ return None
+ except json.JSONDecodeError:
+ return None
+ except Exception:
+ return None
+
+
+def is_embedding_model(model_name: str) -> bool:
+ """Check if a model name suggests it's an embedding model."""
+ name_lower = model_name.lower()
+
+ # Check if it matches any known embedding model
+ for known_model in KNOWN_EMBEDDING_MODELS:
+ if known_model in name_lower:
+ return True
+
+ # Check if it matches any embedding pattern
+ for pattern in EMBEDDING_PATTERNS:
+ if pattern in name_lower:
+ return True
+
+ return False
+
+
+def get_embedding_dim(model_name: str) -> int | None:
+ """Get the embedding dimension for a known model."""
+ name_lower = model_name.lower()
+
+ for known_model, info in KNOWN_EMBEDDING_MODELS.items():
+ if known_model in name_lower:
+ return info["dim"]
+
+ # Default dimensions for common patterns
+ if "large" in name_lower:
+ return 1024
+ elif "base" in name_lower:
+ return 768
+ elif "small" in name_lower or "mini" in name_lower:
+ return 384
+
+ return None
+
+
+def get_embedding_description(model_name: str) -> str:
+ """Get a description for an embedding model."""
+ name_lower = model_name.lower()
+
+ for known_model, info in KNOWN_EMBEDDING_MODELS.items():
+ if known_model in name_lower:
+ return info["description"]
+
+ return "Embedding model"
+
+
+def cmd_check_status(args) -> None:
+ """Check if Ollama is running and accessible."""
+ base_url = args.base_url or DEFAULT_OLLAMA_URL
+
+ # Try to get the version/health endpoint
+ result = fetch_ollama_api(base_url, "api/version")
+
+ if result:
+ output_json(
+ True,
+ data={
+ "running": True,
+ "url": base_url,
+ "version": result.get("version", "unknown"),
+ },
+ )
+ else:
+ # Try alternative endpoint
+ tags = fetch_ollama_api(base_url, "api/tags")
+ if tags:
+ output_json(
+ True,
+ data={
+ "running": True,
+ "url": base_url,
+ "version": "unknown",
+ },
+ )
+ else:
+ output_json(
+ True,
+ data={
+ "running": False,
+ "url": base_url,
+ "message": "Ollama is not running or not accessible",
+ },
+ )
+
+
+def cmd_list_models(args) -> None:
+ """List all available Ollama models."""
+ base_url = args.base_url or DEFAULT_OLLAMA_URL
+
+ result = fetch_ollama_api(base_url, "api/tags")
+
+ if not result:
+ output_error(f"Could not connect to Ollama at {base_url}")
+ return
+
+ models = result.get("models", [])
+
+ model_list = []
+ for model in models:
+ name = model.get("name", "")
+ size = model.get("size", 0)
+ modified = model.get("modified_at", "")
+
+ model_info = {
+ "name": name,
+ "size_bytes": size,
+ "size_gb": round(size / (1024**3), 2) if size else 0,
+ "modified_at": modified,
+ "is_embedding": is_embedding_model(name),
+ }
+
+ if model_info["is_embedding"]:
+ model_info["embedding_dim"] = get_embedding_dim(name)
+ model_info["description"] = get_embedding_description(name)
+
+ model_list.append(model_info)
+
+ output_json(
+ True,
+ data={
+ "models": model_list,
+ "count": len(model_list),
+ "url": base_url,
+ },
+ )
+
+
+def cmd_list_embedding_models(args) -> None:
+ """List only embedding models from Ollama."""
+ base_url = args.base_url or DEFAULT_OLLAMA_URL
+
+ result = fetch_ollama_api(base_url, "api/tags")
+
+ if not result:
+ output_error(f"Could not connect to Ollama at {base_url}")
+ return
+
+ models = result.get("models", [])
+
+ embedding_models = []
+ for model in models:
+ name = model.get("name", "")
+
+ if is_embedding_model(name):
+ embedding_dim = get_embedding_dim(name)
+
+ embedding_models.append(
+ {
+ "name": name,
+ "embedding_dim": embedding_dim,
+ "description": get_embedding_description(name),
+ "size_bytes": model.get("size", 0),
+ "size_gb": round(model.get("size", 0) / (1024**3), 2),
+ }
+ )
+
+ # Sort by name
+ embedding_models.sort(key=lambda x: x["name"])
+
+ output_json(
+ True,
+ data={
+ "embedding_models": embedding_models,
+ "count": len(embedding_models),
+ "url": base_url,
+ },
+ )
+
+
+def cmd_get_recommended_models(args) -> None:
+ """Get recommended embedding models with install status."""
+ base_url = args.base_url or DEFAULT_OLLAMA_URL
+
+ # Get currently installed models
+ result = fetch_ollama_api(base_url, "api/tags")
+ installed_names = set()
+ if result:
+ for model in result.get("models", []):
+ name = model.get("name", "")
+ # Normalize name (remove :latest suffix for comparison)
+ base_name = name.split(":")[0] if ":" in name else name
+ installed_names.add(name)
+ installed_names.add(base_name)
+
+ # Build recommended list with install status
+ recommended = []
+ for model in RECOMMENDED_EMBEDDING_MODELS:
+ name = model["name"]
+ base_name = name.split(":")[0] if ":" in name else name
+ is_installed = name in installed_names or base_name in installed_names
+
+ recommended.append(
+ {
+ **model,
+ "installed": is_installed,
+ }
+ )
+
+ output_json(
+ True,
+ data={
+ "recommended": recommended,
+ "count": len(recommended),
+ "url": base_url,
+ },
+ )
+
+
+def cmd_pull_model(args) -> None:
+ """Pull (download) an Ollama model."""
+ import subprocess
+
+ model_name = args.model
+ if not model_name:
+ output_error("Model name is required")
+ return
+
+ try:
+ # Run ollama pull command
+ process = subprocess.Popen(
+ ["ollama", "pull", model_name],
+ stdout=subprocess.PIPE,
+ stderr=subprocess.STDOUT,
+ text=True,
+ bufsize=1,
+ )
+
+ output_lines = []
+ for line in iter(process.stdout.readline, ""):
+ line = line.strip()
+ if line:
+ output_lines.append(line)
+ # Print progress to stderr for streaming
+ print(line, file=sys.stderr, flush=True)
+
+ process.wait()
+
+ if process.returncode == 0:
+ output_json(
+ True,
+ data={
+ "model": model_name,
+ "status": "completed",
+ "output": output_lines,
+ },
+ )
+ else:
+ output_json(
+ False, error=f"Failed to pull model: {' '.join(output_lines[-3:])}"
+ )
+
+ except FileNotFoundError:
+ output_error("Ollama CLI not found. Please install Ollama first.")
+ except Exception as e:
+ output_error(f"Failed to pull model: {str(e)}")
+
+
+def main():
+ parser = argparse.ArgumentParser(
+ description="Detect and list Ollama models for auto-claude-ui"
+ )
+ subparsers = parser.add_subparsers(dest="command", help="Available commands")
+
+ # check-status command
+ status_parser = subparsers.add_parser(
+ "check-status", help="Check if Ollama is running"
+ )
+ status_parser.add_argument(
+ "--base-url", help=f"Ollama server URL (default: {DEFAULT_OLLAMA_URL})"
+ )
+
+ # list-models command
+ list_parser = subparsers.add_parser("list-models", help="List all Ollama models")
+ list_parser.add_argument(
+ "--base-url", help=f"Ollama server URL (default: {DEFAULT_OLLAMA_URL})"
+ )
+
+ # list-embedding-models command
+ embed_parser = subparsers.add_parser(
+ "list-embedding-models", help="List Ollama embedding models"
+ )
+ embed_parser.add_argument(
+ "--base-url", help=f"Ollama server URL (default: {DEFAULT_OLLAMA_URL})"
+ )
+
+ # get-recommended-models command
+ recommend_parser = subparsers.add_parser(
+ "get-recommended-models",
+ help="Get recommended embedding models with install status",
+ )
+ recommend_parser.add_argument(
+ "--base-url", help=f"Ollama server URL (default: {DEFAULT_OLLAMA_URL})"
+ )
+
+ # pull-model command
+ pull_parser = subparsers.add_parser(
+ "pull-model", help="Pull (download) an Ollama model"
+ )
+ pull_parser.add_argument("model", help="Model name to pull (e.g., embeddinggemma)")
+
+ args = parser.parse_args()
+
+ if not args.command:
+ parser.print_help()
+ output_error("No command specified")
+ return
+
+ commands = {
+ "check-status": cmd_check_status,
+ "list-models": cmd_list_models,
+ "list-embedding-models": cmd_list_embedding_models,
+ "get-recommended-models": cmd_get_recommended_models,
+ "pull-model": cmd_pull_model,
+ }
+
+ handler = commands.get(args.command)
+ if handler:
+ handler(args)
+ else:
+ output_error(f"Unknown command: {args.command}")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/auto-claude/prompts/complexity_assessor.md b/auto-claude/prompts/complexity_assessor.md
index fe6cbd9d..5ff0f925 100644
--- a/auto-claude/prompts/complexity_assessor.md
+++ b/auto-claude/prompts/complexity_assessor.md
@@ -196,7 +196,7 @@ cat > complexity_assessment.json << 'EOF'
"workflow_type": "[feature|refactor|investigation|migration|simple]",
"confidence": [0.0-1.0],
"reasoning": "[2-3 sentence explanation]",
-
+
"analysis": {
"scope": {
"estimated_files": [number],
@@ -228,13 +228,13 @@ cat > complexity_assessment.json << 'EOF'
"notes": "[brief explanation]"
}
},
-
+
"recommended_phases": [
"discovery",
"requirements",
"..."
],
-
+
"flags": {
"needs_research": [true|false],
"needs_self_critique": [true|false],
diff --git a/auto-claude/query_memory.py b/auto-claude/query_memory.py
new file mode 100644
index 00000000..c16f82d9
--- /dev/null
+++ b/auto-claude/query_memory.py
@@ -0,0 +1,607 @@
+#!/usr/bin/env python3
+"""
+Memory Query CLI for auto-claude-ui.
+
+Provides a subprocess interface for querying the LadybugDB/Graphiti memory database.
+Called from Node.js (Electron main process) via child_process.spawn().
+
+Usage:
+ python query_memory.py get-status
+ python query_memory.py get-memories [--limit N]
+ python query_memory.py search [--limit N]
+ python query_memory.py semantic-search