qmd-local-searchFast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
Install via ClawdBot CLI:
clawdbot install bheemreddy181/qmd-local-searchfind across large directories (avoids hangs)# Keyword search (BM25)
qmd search "alpaca API" -c projects
# Semantic search (understands meaning)
qmd vsearch "how to implement stop loss"
# Combined search with reranking (best quality)
qmd query "trading rules for breakouts"
# File paths only (fast discovery)
qmd search "config" --files -c kell
# Full document content
qmd search "pattern detection" --full --line-numbers# List collections
qmd collection list
# Add new collection
qmd collection add /path/to/folder --name myproject --mask "*.md,*.py"
# Re-index after changes
qmd update# Get full file
qmd get myproject/README.md
# Get specific lines
qmd get myproject/config.py:50 -l 30
# Get multiple files by glob
qmd multi-get "*.yaml" -l 50 --max-bytes 10240--files — paths + scores (for file discovery)--json — structured with snippets--md — markdown formatted-n 10 — limit results-c name) to scope searchesqmd update after adding new filesqmd embed to enable vector search (one-time, takes a few minutes)qmd search --files over find for large directoriesAll run locally — no API keys needed.
Generated Mar 1, 2026
Developers use qmd to quickly locate specific code snippets, configuration files, or API documentation within large project repositories. It replaces slow 'find' commands with fast, semantic-aware searches, improving productivity during debugging or feature implementation.
Researchers and students index their markdown notes, papers, and datasets to perform combined keyword and semantic searches. This helps in gathering relevant literature or findings efficiently, supporting literature reviews and hypothesis testing without relying on cloud services.
IT teams or support staff use qmd to search internal documentation, troubleshooting guides, and config files stored locally. It enables fast retrieval of solutions or procedures, reducing resolution times and maintaining data privacy by avoiding external APIs.
Writers and content creators index their markdown drafts, articles, and resources to find related content or references. Semantic search helps in discovering themes or ideas, streamlining the writing process and ensuring consistency across documents.
Offer a free basic version for individual users with limited collections or search features, and a paid premium version for teams with advanced features like collaborative indexing, priority support, and enhanced model options. Revenue comes from subscription fees.
Sell licenses to large organizations needing secure, local search across internal documents, codebases, and proprietary data. Include customization, integration with existing tools, and dedicated support. Targets industries with strict data privacy requirements.
Release qmd as open-source software to build a community and drive adoption, while offering a managed cloud-hosted version for users who prefer convenience. Revenue is generated from hosting fees, additional storage, and premium support services.
💬 Integration Tip
Integrate qmd into existing workflows by setting up automated indexing via cron jobs and using its JSON output to feed into other tools like note-taking apps or IDEs.
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
Create, search, and manage Bear notes via grizzly CLI.
Track water and sleep with JSON file storage
Notion API for creating and managing pages, databases, and blocks.
Smart ClawdBot documentation access with local search index, cached snippets, and on-demand fetch. Token-efficient and freshness-aware.
Work with Obsidian vaults as a knowledge base. Features: fuzzy/phonetic search across all notes, auto-folder detection for new notes, create/read/edit notes with frontmatter, manage tags and wikilinks. Use when: querying knowledge base, saving notes/documents, editing existing notes by user instructions.