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
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try 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