Local code intelligence MCP server and CLI for AI coding agents
Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.
A Repository-Aware, Knowledge-Learning local MCP that understands your codebase in Real Time powered by Hybrid Semantic + Full-Text Engine, both supports claude code and codex
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 for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.
A Repository-Aware, Self-Evolving Agent That Understands Codebase in Real Time powered by Hybrid Semantic + Full-Text Engine
Convert source code to LLM ready knowledge base
CodeGraph builds a semantic graph of your codebase — functions, classes, imports, call chains — and exposes it through 42 MCP tools, 38 languages, a VS Code extension, and a persistent memory layer. AI agents get structured code understanding instead of grepping through files.
A semantic code search tool for intelligent, cross-repo context retrieval.
Go-based MCP server for codebase indexing and semantic search (Augment-compatible)
Give Claude Code a permanent memory — 100% local, zero config, graph-powered
Multi-agent orchestration, persistent memory, and intelligent workflows for AI coding assistants. Supports Claude Code and OpenCode.
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.
Enhanced fork of claude-context with stability fixes, improved sync, and better reliability for semantic code search
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.
Local coding memory for AI agents. MCP-native. No LLM API required.
Self-hosted MCP server for hybrid semantic code search and repository intelligence.
Lightweight persistent memory for Claude Code — SQLite + FTS5, no daemon, no bloat. Session summaries, code indexing, task tracking, and contextual memory injection.
Local-first code intelligence MCP for AI coding agents.
High-performance Rust MCP server that indexes codebases via vector + graph databases for AI coding agents
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