local-first semantic code search engine

MCP Server for Tree-sitter

Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Embeddings are created and stored locally. No API cost.

A super light-weight embedded code mcp (AST based) that just works - saves 70% token and improves speed for coding agent. 🌟 Star if you like it!

CodeRAG is an AI-powered tool for real-time codebase querying and augmentation using OpenAI and vector search.

Code Indexer Loop is a Python library for indexing and retrieving source code files through an integrated vector database that's continuously and efficiently updated.

User-friendly, tiny source code searcher written by pure Python.

Neural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.

Automatically extracts, processes, and indexes code snippets from GitHub repositories into a searchable vector database.

FaCoY Code-to-Code Search Engine

AI Coders search blindly. Be their guide.

One stop shop - Local-first RAG stack with intelligent polyglot-code/docs, remote code execution, local llama enrichment, progressive disclosure tools, mcp server, sandboxed security.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

MCP server for intelligent code search: semantic (RAG), symbolic (tree-sitter), and regex (ripgrep) search modes. Built for Claude Code and AI coding assistants.

Fully local code indexing and sematic search tool

A local semantic search CLI that finds code and text using natural language queries, powered by embedding models with no internet required.

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

codescholar: growing programs graphs idiomatically for API usage examples

Code for MuCoS (paper accepted by CIKM2021)