| What it does | An AI code editor that checks its own work
| Fine-tuned small models for English-to-Bash command generation
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Open source
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| Key features | - Agents plan, build, test and review code changes
- AstraOne automatically chooses the optimal model for each task
- Runs tests before changes land
- Review changes as diffs before accepting
- Undo any run completely with checkpoints
- Works across entire repository
- Supports Model Context Protocol servers
- Plan mode for autonomous multi-step tasks
- Runs on your machine, code never uploaded
- Bring your own API key
| - 1.5B and 0.6B fine-tuned models
- 401,975 synthetic training examples
- 4-bit quantized models
- CLI with llama.cpp integration
- Command preview mode
- Covers file operations, text processing, Git, archives, networking
- Training data and checkpoints available
- Apache 2.0 and MIT licensed
- ALFA-updated benchmark evaluation
- Supervised fine-tuning with LoRA
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| What makes it different | - AI-native environment where agents autonomously plan, implement, test and review their own work across your whole repository
- AstraOne automatically chooses and escalates models based on test results rather than requiring manual model selection
- Code runs on your machine with nothing copied to external servers, enforced privacy at the gateway
- Works in terminal, CI, pull requests and inside JetBrains IDEs and Zed
- Extensions, keybindings and settings carry over from your existing editor
| - 70.7% pass rate on ALFA-updated benchmark vs 63.7% for competing models
- CPU-friendly quantized models
- Specialized for bash command generation from natural language
- Agentically trained with synthetic data generation and evaluation
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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 | 36 ● no change since last check |
| Trust Flow (Majestic) | 5 | 6 |
| Citation Flow (Majestic) | 15 | 32 |
| Referring domains (Majestic) | 14 | 219 |