qmd Skill
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. Published by NousResearch in hermes-agent.
What is qmd Skill?
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. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Documentation
- Research
- Deployment use cases
- Documentation use cases
Technical details
- Install or run with Copy skill directory
When to use qmd Skill
- Use it for deployment.
- Use it for documentation.
- Use it for research.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/research/qmd/SKILL.md
What it does
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.
Skill instructions
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. 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 NodeSour
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Frequently asked questions
What is qmd?
qmd is a open-source AI agent skill with Copy skill directory. 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.
Who is qmd best for?
qmd is best for reusing agent instructions, scripts, and references, deployment workflows, documentation workflows, research workflows.
How do I install qmd?
Install or run qmd using Copy skill directory. Check qmd for the latest setup command.
Is qmd actively maintained?
qmd may need a closer maintenance check before production use.
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