agentskillexchange Index codebases into MCP knowledge graphs with codebase-memory-mcp
Give coding agents a local MCP code intelligence graph for fast architecture, symbol, route, impact, and call-path queries across large repositories.
Prerequisites
MCP-compatible coding agent, codebase-memory-mcp binary or npm package, local repository access
Installation
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
- High-quality parsing through tree-sitter AST analysis across all 158 languages, enhanced with Hybrid LSP semantic type resolution for Python, TypeScript...
- Plug and play — single static binary for macOS (arm64/amd64), Linux (arm64/amd64), and Windows (amd64). No Docker, no runtime dependencies, no API keys. Download → install → restart agent → done.
- Semantic search (semantic_query): vector search across the entire graph, powered by bundled Nomic nomic-embed-code embeddings (40K tokens, 768d int8) compiled into the binary — no API key, no Ollama, no Docker. 11...
Basic usage or getting-started notes:
The fastest and most efficient code intelligence engine for AI coding agents. Full-indexes an average repository in milliseconds, the Linux kernel (28M LOC, 75K files) in 3 minutes. Answers structural queries in u...
One-line install (macOS / Linux):
Extracted from upstream docs: https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/HEAD/README.md