Search local Markdown notes and transcripts with hybrid BM25, vector, and LLM reranking.
npx skills add https://github.com/GregsGreyCode/Logos --skill qmd-gregsgreycode
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/GregsGreyCode/Logos/tree/main/optional-skills/research/qmd Command: npx skills add https://github.com/GregsGreyCode/Logos --skill qmd-gregsgreycode
Locate and retrieve information across personal knowledge bases stored locally, including notes, docs, and meeting transcripts, using a fast, hybrid search engine.
Run a local search by querying your notes and documents with qmd to retrieve relevant results.
High-intent search queries and answers about installing and using this skill.
You can search personal notes and docs locally by using on-device indexing and hybrid retrieval across Markdown files and transcripts, enabling offline workflows without cloud dependencies.
Hybrid retrieval for local knowledge bases combines BM25 keyword search, vector-based semantic search, and LLM reranking to accurately locate and retrieve information across personal notes and transcripts.
Yes, local knowledge base search requires Node.js 22+ and SQLite with extensions to enable on-device indexing and the hybrid search workflow for your Markdown files.
Yes, you can search meeting transcripts and Markdown files offline using MCP integration, which allows Hermes Agent tooling to access local hybrid search capabilities seamlessly.
The best way to retrieve information from personal knowledge bases stored locally is using a hybrid search engine that combines BM25, vector search, and LLM reranking for accurate results.
On-device indexing for local document search is limited to Markdown files and transcripts, requiring Node.js 22+, SQLite with extensions, and MCP integration to function properly.
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