codebase-memory-mcp is a high-performance code intelligence MCP server built for AI coding agents. It indexes codebases into a persistent knowledge graph so agents can understand architecture, symbols, call chains, routes, and cross-service relationships without reading every file repeatedly. The project uses tree-sitter AST analysis across 158 languages and adds Hybrid LSP type resolution for major languages like Python, TypeScript, JavaScript, Go, C#, Java, Rust, C, and C++. It is built for speed, with average repositories indexed in milliseconds and structural queries answered in under one millisecond. It ships as a single static binary for macOS, Linux, and Windows with no shared library dependencies. It also includes semantic search, BM25 search, graph visualization, auto-indexing, and cross-repository intelligence.

Features

  • Persistent code knowledge graph
  • Tree-sitter parsing across 158 languages
  • Hybrid LSP semantic type resolution
  • Sub-millisecond structural queries
  • Graph visualization UI
  • Single static binary with zero dependencies

Project Samples

codebase-memory-mcp Screenshot 1

Project Activity

See All Activity >

Categories

AI Coding

License

MIT License

Follow codebase-memory-mcp

codebase-memory-mcp Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of codebase-memory-mcp!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C

Related Categories

C AI Coding Tool

Registered

2026-06-22
Report inappropriate content