Save 94% on Claude Code tokens. Index your codebase, AI searches instead of reading files. Local MCP server. Free, open source.

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.

Convert source code to LLM ready knowledge base

MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.

A semantic code search tool for intelligent, cross-repo context retrieval.

Go-based MCP server for codebase indexing and semantic search (Augment-compatible)

Memory-aware context engine for AI coding agents — up to 91% fewer tokens, 17/18 rank-1 across 6 OSS projects. MCP-native, multi-repo, with persistent observations & decisions.

Multi-agent orchestration, persistent memory, and intelligent workflows for AI coding assistants. Supports Claude Code and OpenCode.

Self-hosted MCP server for hybrid semantic code search and repository intelligence.

Give Claude Code a permanent memory — 100% local, zero config, graph-powered

Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search

Lightweight persistent memory for Claude Code — SQLite + FTS5, no daemon, no bloat. Session summaries, code indexing, task tracking, and contextual memory injection.

Python application to index code locally and support running server with indexed repos. Works with VoyageAI to power semantic searching a large codebase, enabling AI optimized code navigation. Supports FTS searching, and indexing git log. Experimental support for SCIP indexing.

Ultra-fast file search toolkit for AI agents, Neovim, and code editors. MCP server for Claude Code/Cursor/Codex, frecency-ranked search, symbol indexing via tree-sitter, and a Rust core that outperforms ripgrep and fzf in long-running processes.

Intelligent code indexing MCP server. 13 tools, 10 languages, hybrid search, call graphs, O(1) symbol retrieval.

Code indexing examples for converting source code into structured repository maps optimized for semantic search LLM understanding.

Offline-first coding agent for local LLMs (LM Studio + MCP). Project-aware context, memory, and filesystem tooling for real coding workflows directly in your codebase.

Structured code retrieval for AI agents — index once with tree-sitter, query symbols precisely via MCP. Cut code-reading token costs by up to 99%.

A Repository-Aware Self-Evolving agent in GO

Ultra-fast codebase cartography for LLMs