local-first semantic code search engine
MCP Server for Tree-sitter
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.
CodeRAG is an AI-powered tool for real-time codebase querying and augmentation using OpenAI and vector search.
User-friendly, tiny source code searcher written by pure Python.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Embeddings are created and stored locally. No API cost.
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
codescholar: growing programs graphs idiomatically for API usage examples
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
Code for MuCoS (paper accepted by CIKM2021)
Contexi let you interact with entire codebase or data with context using a local LLM on your system.
Repo-gniton is an intelligent tool that helps developers understand, navigate, and work with code repositories. It dynamically ingests GitHub repositories, parses code and documentation, and prepares them for retrieval and AI-powered assistance.
Code search through natural language query
Add a description, image, and links to the code-search topic page so that developers can more easily learn about it.
To associate your repository with the code-search topic, visit your repo's landing page and select "manage topics."