QMD - Quick Markdown Search

Summary

QMD - Quick Markdown Search An on-device search engine for everything you need to remember. Index your markdown notes, meeting transcripts, documentation, and knowledge bases. Search with keywords or natural language. Ideal for your agentic flows. QMD combines BM25 full-text search, vector semantic search, and LLM re-ranking—all running locally via node-llama-cpp with GGUF models. Quick Start # Install globally bun install -g https://github.com/tobi/qmd # Create collections for your notes, docs, and meeting transcripts qmd collection add ~ /notes --name notes qmd collection add ~ /Documents/meetings --name meetings qmd collection add ~ /work/docs --name docs # Add context to help with search results qmd context add qmd://notes " Personal notes and ideas " qmd context add qmd://meetings " Meeting transcripts and notes " qmd context add qmd://docs " Work documentation " # Generate embeddings for semantic search qmd embed # Search across everything qmd search " project timeline " # Fast keyword search qmd vsearch " how to deploy " # Semantic search qmd query " quarterly planning process " # Hybrid + reranking (best quality) # Get a specific document qmd get " meetings/2024-01-15.md " # Get a document by docid (shown in search results) qmd get " #abc123 " # Get multiple documents by glob pattern qmd multi-get " journals/2025-05*.md " # Search within a specific collection qmd search " API " -c notes # Export all matches for an agent qmd search " API " --all --files --min-score 0.3 Using with AI Agents QMD's --json and --files output formats are designed for agentic workflows: # Get structured results for an LLM qmd search " authentication " --json -n 10 # List all relevant files above a threshold qmd query " error handling " --all --files --min-score 0.4 # Retrieve full document content qmd get " docs/api-reference.md " --full MCP Server Although the tool works perfectly fine when you just tell your agent to use it on the command line, it also exposes an MCP (Model Conte...