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qmdlisted

Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
GregsGreyCode/Logos · ★ 6 · AI & Automation · score 79
Install: claude install-skill GregsGreyCode/Logos
# QMD — Query Markup Documents Local, on-device search engine for personal knowledge bases. Indexes markdown notes, meeting transcripts, documentation, and any text-based files, then provides hybrid search combining keyword matching, semantic understanding, and LLM-powered reranking — all running locally with no cloud dependencies. Created by [Tobi Lütke](https://github.com/tobi/qmd). MIT licensed. ## When to Use - User asks to search their notes, docs, knowledge base, or meeting transcripts - User wants to find something across a large collection of markdown/text files - User wants semantic search ("find notes about X concept") not just keyword grep - User has already set up qmd collections and wants to query them - User asks to set up a local knowledge base or document search system - Keywords: "search my notes", "find in my docs", "knowledge base", "qmd" ## Prerequisites ### Node.js >= 22 (required) ```bash # Check version node --version # must be >= 22 # macOS — install or upgrade via Homebrew brew install node@22 # Linux — use NodeSource or nvm curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash - sudo apt-get install -y nodejs # or with nvm: nvm install 22 && nvm use 22 ``` ### SQLite with Extension Support (macOS only) macOS system SQLite lacks extension loading. Install via Homebrew: ```bash brew install sqlite ``` ### Install qmd ```bash npm install -g @tobilu/qmd # or with Bun: bun install -g @tobilu/qmd ``` First run auto-downloads 3 loc