Launching today
Reference
Local semantic search for AI agents
15 followers
Local semantic search for AI agents
15 followers
Reference is local semantic search for your files and code, built for AI agents. No cloud, nothing leaves your machine. Ask it "how did I implement rate limiting here" and get your actual code back, cited down to the exact function, not generic advice. Live index that updates as you save, code-aware chunking (tree-sitter), and a built-in MCP server (/search, /explain, /find_similar, /check_doc_drift)so Claude Code gets precise cited results instead of burning tokens on grep loops.
Built this after burning tokens and context for every new Claude thread I open. An embedding model uses a fraction of the memory a local LLM does, and gives me back what I (or Claude) are looking for instantly. It's local, offline, and now Claude can just ask the index directly. Would love to hear what you think!