Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
-
Updated
May 26, 2026 - Python
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
A super light-weight embedded code search engine CLI (AST based) that just works - saves 70% token and improves speed for coding agent 🌟 Star if you like it!
local-first semantic code search engine
Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf.
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.
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.
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · Hermes · VS Code · Windsurf.
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.
Enterprise-grade graph-powered code intelligence engine. Deep structural awareness for Laravel, PHP, Python, and JS. Powers AI agents with high-fidelity architectural context via MCP & Neo4j.
Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.
MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
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.
FaCoY Code-to-Code Search Engine
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.
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."