The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
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Updated
Mar 24, 2026 - Python
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Turning messy repos into weapons of mass structured context.
Local codebase memory for Claude Code and MCP - AST indexing, call graphs, hybrid search. 0 tool calls, 3-8x fewer tokens.
Intelligent codebase context engine for AI coding agents. Semantic RAG from source code via MCP tools.
🔍 GrepAI - Local AI-powered codebase search MCP Server. Self-hosted MCP server with GPU-accelerated LLM support (llama.cpp/vLLM). Search, analyze, and navigate your codebase with Claude Code or any MCP-compatible AI agent. One-command installation.
CLI codebase search powered by TF-IDF. No cloud required.
Semantic file search for AI workstations using HNSW indexing and local embeddings via Ollama
Add a description, image, and links to the codebase-search topic page so that developers can more easily learn about it.
To associate your repository with the codebase-search topic, visit your repo's landing page and select "manage topics."