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It streams model responses, invokes structured tools to read/modify files in a target project, and persists conversational history for iterative workflows.\n\n\u003cimg width=\"1728\" height=\"1117\" alt=\"Screenshot 2025-09-07 at 9 57 00 PM\" src=\"https://github.com/user-attachments/assets/6d26265a-33f6-450a-a61c-9aa1d03da6b7\" /\u003e\n\n### Build \u0026 Run\n\n- Requirements: Go 1.25+; macOS/Linux/WSL2\n- Env: export `OPENAI_API_KEY` with your key\n\nBuild:\n\n```bash\nmake local-build    # installs 'cli-agent'\n# or\ngo build -o cli-agent .\n```\n\nRun:\n\n```bash\ngo run .\n# or, after build\n./cli-agent\n```\n\nDev loop:\n\n```bash\nmake dev  # sets GOENV=dev, builds, runs\n```\n\n### Testing \u0026 Formatting\n\n```bash\ngo test ./...\ngo vet ./...\ngofmt -s -w .\ngo build\n```\n\n### Optional Python Server\n\nIf you want to use the FastAPI server with LangChain tools:\n\n```bash\ncd server\npip install -r requirements.txt\n# Run with reload in dev:\nENV=dev python main.py\n# Or via uvicorn:\nENV=local uvicorn agent:app --host 127.0.0.1 --port 8080\n```\n\nThe server reads `OPENAI_API_KEY` from env or a `.env` in `server/`.\n\n### Roadmap / TODOs\n\n- [ ] Smooth hand over between non-reasoning and reasoning agents.\n- [ ] Proper planning step to create todo list that is not too bloated.\n\n### License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsifatulrabbi%2Fcli-agent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsifatulrabbi%2Fcli-agent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsifatulrabbi%2Fcli-agent/lists"}