sbusso/claudeclaw/add-qmd

Claude Code and agent skill by sbusso/claudeclaw

Trust tier 3
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Add QMD (Query Markup Documents) as an advanced memory search backend. Upgrades the built-in grep-based memory_search with hybrid BM25 + vector semantic search + LLM re-ranking. Fully local, no API keys needed. Triggers on "add qmd", "qmd memory", "semantic memory search", "upgrade memory".

Install

npx vskill@latest install sbusso/claudeclaw/add-qmd

SKILL.md

Add QMD Memory Backend

QMD (https://github.com/tobi/qmd) is a local search engine for markdown files. It combines BM25 keyword search, vector semantic search, and LLM re-ranking — all running on-device via node-llama-cpp with GGUF models.

This skill upgrades ClaudeClaw's built-in grep-based memory_search MCP tool with QMD's hybrid search, giving agents much better recall across large memory collections.

Prerequisites

  • ClaudeClaw with memory tools already working (memory_search, memory_save, memory_get)
  • ~2GB disk space for GGUF embedding + reranking models (downloaded on first run)
  • Node.js 20+

What This Skill Does

  1. Installs QMD as an MCP server dependency
  2. Configures QMD to index all group memory directories (groups/*/memory/, groups/*/CLAUDE.md, groups/*/conversations/)
  3. Replaces the grep-based memory_search in agent/runner/src/ipc-mcp-stdio.ts with QMD's API
  4. Adds QMD indexing to the agent startup flow (incremental re-index on each run)

Implementation Notes

QMD MCP Server

QMD exposes its search as an MCP server. Add to the agent runner's mcpServers config:

typescript
qmd: {
command: 'npx',
args: ['qmd', 'mcp', '--collection', collectionPath],
env: {},
}
Indexing

QMD indexes markdown files into a local SQLite database. The collection should be configured per-group:

bash
# Index a group's memory
qmd index --collection groups/{folder}/.qmd groups/{folder}/memory/ groups/{folder}/CLAUDE.md groups/{folder}/conversations/
Search Integration

Replace the grep-based memory_search tool body with a call to QMD's MCP:

typescript
// Before (grep-based):
const results = grepFiles(args.query, allFiles);
// After (QMD):
// Use the qmd MCP server's search tool
// Returns semantically ranked results with relevance scores
Fallback

If QMD is not installed or indexing fails, fall back to the built-in grep-based search. This ensures memory tools always work even without QMD.

Not Implemented Yet

This skill is a specification for future implementation. The built-in grep-based memory tools work without QMD. Run this skill when you want to upgrade to semantic search.

Security

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Source

Popularity

Repository stars
173
Repository forks
56
7-day trend score
26

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