| What it does | A coding agent CLI for local and hosted models
| Autonomous AI software engineer that connects to GitHub to resolve issues and ship pull requests
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Open source
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| Key features | - Context discipline with prompt cache preservation
- Loop breaking detection and prevention
- Code verification with TypeScript typechecking
- Multiple work modes: plan, test-and-review, window, chat
- Kernel sandbox for shell commands on macOS
- Works with local and hosted models
- No telemetry
| - GitHub integration for issue assignment and pull request automation
- Evidence-backed pull requests with test results and recordings
- Automated bug reproduction and verification
- Dedicated computer environment per session
- Mobile access to monitor tasks
- Cloud and local runtime options
- Test automation and code verification
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| What makes it different | - Designed specifically for small local models to reduce context waste and work efficiently
- Fails gracefully and communicates when stuck instead of spiraling
- Completely free and open source with no commercial edition or license key required
- Transparent and measured approach with A/B testing and published results
| - Evidence-based code changes with recorded proof of testing and verification
- 22% more cost efficient than competitor models
- Opinionated architecture that improves the entire development loop
- Built for trust with real repositories and careful verification
- Maintains human judgment while automating mechanical coding tasks
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 26 ● no change since last check |
| Trust Flow (Majestic) | 3 | 10 |
| Citation Flow (Majestic) | 19 | 34 |
| Referring domains (Majestic) | 14 | 245 |