* fix(pr-review): add three-tier recovery for structured output validation failure When structured output validation fails after SDK max retries, the followup reviewer crashed with RuntimeError instead of recovering. This wastes all multi-agent analysis work (often 100+ messages across 3 specialist agents). Changes: - sdk_utils: add error_recoverable flag and last_assistant_text to stream result - followup reviewer: attempt extraction call with minimal schema before text fallback - pydantic_models: add FollowupExtractionResponse (~6 flat fields, near-100% success) - orchestrator reviewer: add structured_output to FindingValidator retryable errors Recovery cascade: structured output → extraction call → text parsing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(pr-review): address review findings from PR #1797 - Register pr_followup_extraction agent type in AGENT_CONFIGS (fixes Tier 2 dead code) - Move RECOVERABLE_ERRORS to module-level constant in sdk_utils for importability - Update docstring to document new return fields (last_assistant_text, error_recoverable) - Use self.config.fast_mode instead of hardcoded True for consistency - Rewrite tests to import actual production constants instead of reimplementing logic Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tests): fix import paths for CI environment CI runs pytest from apps/backend/ so runners/github/ must be on sys.path for services.sdk_utils and services.pydantic_models imports to resolve. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(tests): use bare module imports to avoid services/ package collision There are two services/ directories (apps/backend/services/ and runners/github/services/). Adding github services dir to sys.path and importing via `from services.sdk_utils` fails because Python finds the wrong services/ package first. Fix: add the services dir directly and use bare imports (from sdk_utils import ...). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(pr-review): fix extraction call type error and control flow issues - Use self.project_dir instead of str(Path.cwd()) for create_client (fixes AttributeError making Tier 2 always crash, and uses correct project path) - Force structured_output = None on recoverable errors to skip redundant parse-then-fail cycle and go directly to Tier 2 extraction - Include dismissed_finding_count in extraction return dict for symmetry Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(pr-review): address follow-up review findings - Read dismissed_finding_count fallback in consumer (fixes silent data loss) - Consolidate recoverable error handling into single control flow block - Default text fallback verdict to NEEDS_REVISION (consistent with _create_empty_result) - Add missing keys to _parse_text_output and _create_empty_result for consistent return dict contracts across all three recovery tiers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * style: ruff format parallel_followup_reviewer.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Auto Claude
Autonomous multi-agent coding framework that plans, builds, and validates software for you.
Download
Stable Release
| Platform | Download |
|---|---|
| Windows | Auto-Claude-2.7.5-win32-x64.exe |
| macOS (Apple Silicon) | Auto-Claude-2.7.5-darwin-arm64.dmg |
| macOS (Intel) | Auto-Claude-2.7.5-darwin-x64.dmg |
| Linux | Auto-Claude-2.7.5-linux-x86_64.AppImage |
| Linux (Debian) | Auto-Claude-2.7.5-linux-amd64.deb |
| Linux (Flatpak) | Auto-Claude-2.7.5-linux-x86_64.flatpak |
Beta Release
⚠️ Beta releases may contain bugs and breaking changes. View all releases
| Platform | Download |
|---|---|
| Windows | Auto-Claude-2.7.6-beta.4-win32-x64.exe |
| macOS (Apple Silicon) | Auto-Claude-2.7.6-beta.4-darwin-arm64.dmg |
| macOS (Intel) | Auto-Claude-2.7.6-beta.4-darwin-x64.dmg |
| Linux | Auto-Claude-2.7.6-beta.4-linux-x86_64.AppImage |
| Linux (Debian) | Auto-Claude-2.7.6-beta.4-linux-amd64.deb |
| Linux (Flatpak) | Auto-Claude-2.7.6-beta.4-linux-x86_64.flatpak |
All releases include SHA256 checksums and VirusTotal scan results for security verification.
Requirements
- Claude Pro/Max subscription - Get one here
- Claude Code CLI -
npm install -g @anthropic-ai/claude-code - Git repository - Your project must be initialized as a git repo
Quick Start
- Download and install the app for your platform
- Open your project - Select a git repository folder
- Connect Claude - The app will guide you through OAuth setup
- Create a task - Describe what you want to build
- Watch it work - Agents plan, code, and validate autonomously
Features
| Feature | Description |
|---|---|
| Autonomous Tasks | Describe your goal; agents handle planning, implementation, and validation |
| Parallel Execution | Run multiple builds simultaneously with up to 12 agent terminals |
| Isolated Workspaces | All changes happen in git worktrees - your main branch stays safe |
| Self-Validating QA | Built-in quality assurance loop catches issues before you review |
| AI-Powered Merge | Automatic conflict resolution when integrating back to main |
| Memory Layer | Agents retain insights across sessions for smarter builds |
| GitHub/GitLab Integration | Import issues, investigate with AI, create merge requests |
| Linear Integration | Sync tasks with Linear for team progress tracking |
| Cross-Platform | Native desktop apps for Windows, macOS, and Linux |
| Auto-Updates | App updates automatically when new versions are released |
Interface
Kanban Board
Visual task management from planning through completion. Create tasks and monitor agent progress in real-time.
Agent Terminals
AI-powered terminals with one-click task context injection. Spawn multiple agents for parallel work.
Roadmap
AI-assisted feature planning with competitor analysis and audience targeting.
Additional Features
- Insights - Chat interface for exploring your codebase
- Ideation - Discover improvements, performance issues, and vulnerabilities
- Changelog - Generate release notes from completed tasks
Project Structure
Auto-Claude/
├── apps/
│ ├── backend/ # Python agents, specs, QA pipeline
│ └── frontend/ # Electron desktop application
├── guides/ # Additional documentation
├── tests/ # Test suite
└── scripts/ # Build utilities
CLI Usage
For headless operation, CI/CD integration, or terminal-only workflows:
cd apps/backend
# Create a spec interactively
python spec_runner.py --interactive
# Run autonomous build
python run.py --spec 001
# Review and merge
python run.py --spec 001 --review
python run.py --spec 001 --merge
See guides/CLI-USAGE.md for complete CLI documentation.
Development
Want to build from source or contribute? See CONTRIBUTING.md for complete development setup instructions.
For Linux-specific builds (Flatpak, AppImage), see guides/linux.md.
Security
Auto Claude uses a three-layer security model:
- OS Sandbox - Bash commands run in isolation
- Filesystem Restrictions - Operations limited to project directory
- Dynamic Command Allowlist - Only approved commands based on detected project stack
All releases are:
- Scanned with VirusTotal before publishing
- Include SHA256 checksums for verification
- Code-signed where applicable (macOS)
Available Scripts
| Command | Description |
|---|---|
npm run install:all |
Install backend and frontend dependencies |
npm start |
Build and run the desktop app |
npm run dev |
Run in development mode with hot reload |
npm run package |
Package for current platform |
npm run package:mac |
Package for macOS |
npm run package:win |
Package for Windows |
npm run package:linux |
Package for Linux |
npm run package:flatpak |
Package as Flatpak (see guides/linux.md) |
npm run lint |
Run linter |
npm test |
Run frontend tests |
npm run test:backend |
Run backend tests |
Contributing
We welcome contributions! Please read CONTRIBUTING.md for:
- Development setup instructions
- Code style guidelines
- Testing requirements
- Pull request process
Community
- Discord - Join our community
- Issues - Report bugs or request features
- Discussions - Ask questions
License
AGPL-3.0 - GNU Affero General Public License v3.0
Auto Claude is free to use. If you modify and distribute it, or run it as a service, your code must also be open source under AGPL-3.0.
Commercial licensing available for closed-source use cases.


