{"data":{"slug":"chakkaradeep-pycodeagi","name":"pyCodeAGI","tagline":"An experimental Python application generator using AGI concepts.","github_url":"https://github.com/chakkaradeep/pyCodeAGI","owner":"chakkaradeep","repo":"pyCodeAGI","owner_avatar_url":"https://avatars.githubusercontent.com/u/7882052?v=4","primary_language":"Python","stars":185,"forks":28,"topics":[],"archived":false,"github_pushed_at":"2023-05-04T06:48:22+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/chakkaradeep-pycodeagi","markdown_url":"https://www.graphcanon.com/tools/chakkaradeep-pycodeagi.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chakkaradeep-pycodeagi","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chakkaradeep-pycodeagi","description":null,"homepage_url":null,"license":null,"open_issues":3,"watchers":6,"ai_summary":"An early-stage project that aims to generate a Python app based on user input, utilizing langchain for its functionalities. Inspired by BabyAGI.","readme_excerpt":"# pyCodeAGI\nA small AGI experiment to generate a Python app given what app the user wants to build. The project just started, so please keep an eye on the updates.\n\nIt's very early, but run the script to try out the AGI.\n\nOf course, it uses [LangChainAI](https://github.com/hwchase17/langchain). AGI concept adopted from [@yoheinakajima](https://twitter.com/yoheinakajima)'s [BabyAGI](https://github.com/yoheinakajima/babyagi).","github_created_at":"2023-04-16T06:47:06+00:00","created_at":"2026-07-11T10:46:31.155987+00:00","updated_at":"2026-08-14T18:01:00.580276+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"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":"agi","name":"agi"},{"slug":"langchainai","name":"langchainai"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":628507552,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-14T18:00:59.721Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1198,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:46:32.604Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-14T18:01:00.188Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-14T18:01:00.188Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["- The use of LangChainAI for functionalities requires that you are familiar with or willing to learn its capabilities and integration techniques.","- Given the experimental nature, users should be prepared for potential instability or incomplete features."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["- For users eager to experiment with cutting-edge AGI concepts in the context of automating Python app generation.","- When inspired by BabyAGI and aiming to utilize a similar framework but specifically within Python application development.","- For developers interested in rapid prototyping of Python applications based on high-level user inputs, leveraging LangChainAI."],"when_not_to_use":["- If reliable, well-tested tools are required for mission-critical projects; pyCodeAGI is still an experimental project and may not be suitable for such contexts.","- When you require functionalities that closely mirror other established developer tools which pyCodeAGI does not yet offer as it's in the early stages of development."],"source":"enrich:decision_facts","observed_at":"2026-07-12T11:18:36.407Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"- The use of LangChainAI for functionalities requires that you are familiar with or willing to learn its capabilities and integration techniques.; - Given the experimental nature, users should be prepared for potential instability or incomplete features."},{"label":"Adopt for","value":"Decision-relevant facts for pyCodeAGI"}]}}