Enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install qmd-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install qmd-memoryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/qmd-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What QMD Memory can do for your AI workflow
Local hybrid memory search directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing QMD Memory
Help me get started with QMD Memory
Explains what QMD Memory does, walks through the setup, and runs a quick demo based on your current project
Use QMD Memory to local hybrid memory search and embedding using QMD to reduce API co...
Invokes QMD Memory with the right parameters and returns the result directly in the conversation
What can I do with QMD Memory in my documents & notes workflow?
Lists the top use cases for QMD Memory, with example commands for each scenario
Guides & tutorials for AI skills
10 Fresh GitHub Agent Skills Added in June 2026
A hand-checked shortlist of recently updated GitHub agent skills that were not already in our catalog, excluding marketplaces, awesome lists, managers, and generic skill directories.
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
QMD Memory extends your AI assistant with the ability to enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using QMD Memory as its underlying capability.
QMD Memory works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install QMD Memory once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with QMD Memory takes about two minutes. Place the skill at `~/.claude/skills/qmd-memory/` (personal, all projects) or `.claude/skills/qmd-memory/` (project-specific), then restart your AI client. From that point, typing `/qmd-memory` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
QMD Memory has 721 installs and is part of the growing Documents & Notes skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/qmd-memory/ for personal use (all projects), or .claude/skills/qmd-memory/ for project-specific use. Restart your AI client, then invoke with /qmd-memory or let the AI discover it automatically.
QMD Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
QMD Memory is free to install. Check the repository for licensing information.
Enables local hybrid memory search and embedding using QMD to reduce API costs by $50-300/month with automatic setup, smart indexing, and multi-agent sharing.
Links
Automate my documents & notes tasks using QMD Memory
Identifies repetitive steps in your workflow and sets up QMD Memory to handle them automatically
QMD Memory is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.