A fast codebase indexer and knowledge wiki for AI 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.
MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.
Durable, searchable memory of your past agent sessions.
A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

Local code intelligence MCP server and CLI for AI coding agents
Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.