qmd
SolidSearch 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.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- NousResearch
- Repository
- NousResearch/hermes-agent
- Created
- 10 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
qmd
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.
qmd
Local hybrid search for markdown notes and docs. Use BEFORE reading files to save tokens - search first, read only what's relevant. Provides 90% token savings on exploration tasks.
qmd
Local hybrid search for markdown notes and docs. Use BEFORE reading files to save tokens - search first, read only what's relevant. Provides 90% token savings on exploration tasks.