noumenon
♥Cherished
Queryable knowledge graph for codebases — turns git history and LLM-analyzed source into a Datomic database that AI agents can query with Datalog.
Clauded With Love Rating
8.5 / 10
Noumenon transforms git repositories into queryable Datomic knowledge graphs, enabling AI agents to answer codebase questions through semantic search and Datalog queries rather than raw context scanning. It provides a complete pipeline from git history ingestion through LLM-powered analysis to structured querying via CLI, MCP server, and visual interfaces.
Code Quality7.5
Usefulness8.5
Claude Usage8.0
Documentation9.0
Originality9.5
Highlights
- ✓Innovative approach using Datomic knowledge graphs with TF-IDF semantic search to solve the context window problem for codebase analysis
- ✓Comprehensive multi-stage pipeline (import, enrich, analyze, synthesize, embed) with clear separation of LLM and non-LLM operations
- ✓Production-ready deployment story with Docker Compose, role-based access control, MCP server integration, and team collaboration features
To Improve
- →Add automated test coverage and CI/CD pipeline to validate the complex multi-stage processing pipeline across different repository types
- →Implement incremental updates and caching mechanisms to avoid full re-processing on repository changes, especially for large codebases