{"data":{"slug":"eigenwise-atomic-agents","name":"atomic-agents","tagline":"Building AI agents, atomically","github_url":"https://github.com/Eigenwise/atomic-agents","owner":"Eigenwise","repo":"atomic-agents","owner_avatar_url":"https://avatars.githubusercontent.com/u/48944754?v=4","primary_language":"Python","stars":6185,"forks":533,"topics":["ai","artificial-intelligence","large-language-model","large-language-models","llms","openai","openai-api"],"archived":false,"github_pushed_at":"2026-08-16T10:20:30+00:00","maintenance_label":"Very active","stars_delta_30d":134,"url":"https://www.graphcanon.com/tools/eigenwise-atomic-agents","markdown_url":"https://www.graphcanon.com/tools/eigenwise-atomic-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eigenwise-atomic-agents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eigenwise-atomic-agents","description":"Building AI agents, atomically","homepage_url":"https://eigenwise.github.io/atomic-agents/","license":"MIT","open_issues":4,"watchers":59,"ai_summary":"A Python-based toolkit for creating atomic AI agents with integrations for various large language model providers.","readme_excerpt":"### Installation\nTo install Atomic Agents, you can use pip:\n\n```bash\npip install atomic-agents\n```\n\nMake sure you also install the provider you want to use. Provider SDKs are available as instructor extras:\n\n```bash\npip install instructor[groq]        # for Groq\npip install instructor[anthropic]   # for Anthropic\npip install instructor[google-genai] # for Gemini\n```\n\nOpenAI is included by default. For a full list of supported providers, see the [Instructor docs](https://python.useinstructor.com/integrations/).\n\nThis also installs the CLI *Atomic Assembler*, which can be used to download Tools (and soon also Agents and Pipelines).\n\n---\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.","github_created_at":"2024-06-03T08:24:07+00:00","created_at":"2026-07-07T17:34:43.317216+00:00","updated_at":"2026-08-17T12:01:04.44635+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"large-language-model","name":"large-language-model"},{"slug":"llms","name":"llms"},{"slug":"openai","name":"openai"},{"slug":"openai-api","name":"openai-api"}],"trust":{"provenance":{"is_fork":false,"github_id":809673506,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-17T12:01:03.582Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":1,"last_release_at":"2026-08-11T11:13:05Z","stars_delta_30d":134,"open_issues_delta_30d":-2},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":8,"high_count":0,"last_scan_at":"2026-07-11T11:03:52.052Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-17T12:01:04.071Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-08-17T12:01:04.071Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-17T12:01:04.071Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-17T12:01:04.071Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need a flexible toolkit to create atomic, modular AI agents with various LLM provider support","Ideal if your project requires direct OpenAI integration without configuration changes"],"when_not_to_use":["Avoid for projects needing exclusive use of providers not listed in the Instructor docs","Not suitable if looking for a solution that is language-agnostic, as it’s tightly integrated with Python ecosystems and CLI utilities"],"source":"enrich:decision_facts","observed_at":"2026-07-12T13:50:38.110Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development."}]}}