{"id":51131006,"url":"https://github.com/viztini/astrazenith","last_synced_at":"2026-06-25T12:30:49.281Z","repository":{"id":349305836,"uuid":"1164258398","full_name":"viztini/astrazenith","owner":"viztini","description":"Stop memorizing, start building. 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It is tightly coupled to the Anthropic API, hard to modify, and impossible to run against a local or alternative model.\n\nAstraZenith reimplements the same core loop in ~10K lines of readable Python, allowing access to any model you want, open-source, keeping everything you need and dropping what you don't.\n\n## Quick start\n\n```bash\npip install -r requirements.txt\nexport ANTHROPIC_API_KEY=...   # or another provider key; see below\npython astra_zenith.py\n```\n\nNon-interactive one-shot:\n\n```bash\npython astra_zenith.py --print \"Summarize this repo in five bullets\"\n```\n\nCommon flags: `-m / --model`, `--accept-all`, `--verbose`, `--thinking` (Anthropic only), `--version`, `-h`.\n\n## Where data lives\n\n| Location | Purpose |\n|----------|---------|\n| `~/.astra_zenith/config.json` | Default model, API keys (optional), permissions |\n| `~/.astra_zenith/sessions/` | Saved REPL sessions |\n| `~/.astra_zenith/memory/` | User-scoped persistent memories |\n| `~/.astra_zenith/skills/` | User markdown skills |\n| `~/.astra_zenith/agents/` | Custom sub-agent type definitions |\n| `~/.astra_zenith/mcp.json` | User-level MCP server config |\n| `~/.astra_zenith/plugins/` | Installed plugins (plugin system) |\n| `.astra_zenith/` under the project cwd | Project skills, memories, plugins, tasks (`tasks.json`), etc. |\n\nProject-level `.mcp.json` merges with the user MCP config (project wins on server name).\n\n## API keys\n\nSet environment variables for your provider(s), for example:\n\n- `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`, `MOONSHOT_API_KEY`, `DASHSCOPE_API_KEY`, `ZHIPU_API_KEY`, `DEEPSEEK_API_KEY`\n\nYou can also persist keys with `/config key=value` inside the REPL.\n\n## Models (examples)\n\n```bash\npython astra_zenith.py --model claude-sonnet-4-6\npython astra_zenith.py --model gpt-4o\npython astra_zenith.py --model gemini/gemini-2.0-flash\npython astra_zenith.py --model ollama/qwen2.5-coder\npython astra_zenith.py --model lmstudio/\u003cmodel-name\u003e\n```\n\nFor a self-hosted OpenAI-compatible server:\n\n```bash\nexport CUSTOM_BASE_URL=http://localhost:8000/v1\nexport CUSTOM_API_KEY=none   # if unused\npython astra_zenith.py --model custom/Your-Model-Name\n```\n\nUse `/help` in the REPL for slash commands (`/model`, `/memory`, `/mcp`, `/tasks`, `/voice`, …).\n\n## Voice input (optional)\n\nInstall recording + STT dependencies (for example `sounddevice` and `faster-whisper`), then use `/voice` in the REPL. Override the local Whisper size with `ASTRAZENITH_WHISPER_MODEL` (default `base`).\n\n## Tests\n\n```bash\npython -m pytest tests/ -v\n```\n\n## Developer docs\n\nSee [docs/architecture.md](docs/architecture.md) for module layout and extension points (tool registry, agent loop, memory, skills, MCP).\n\n## License\n\nSee [LICENSE](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviztini%2Fastrazenith","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fviztini%2Fastrazenith","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fviztini%2Fastrazenith/lists"}