Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-memory-qdrantOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-memory-qdrantβ 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/openclaw-memory-qdrant/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Openclaw Memory Qdrant can do for your AI workflow
Local semantic memory directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,189+ developers worldwide
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 Openclaw Memory Qdrant
Help me get started with Openclaw Memory Qdrant
Explains what Openclaw Memory Qdrant does, walks through the setup, and runs a quick demo based on your current project
Use Openclaw Memory Qdrant to local semantic memory with Qdrant and Transformers
Invokes Openclaw Memory Qdrant with the right parameters and returns the result directly in the conversation
What can I do with Openclaw Memory Qdrant in my documents & notes workflow?
Lists the top use cases for Openclaw Memory Qdrant, with example commands for each scenario
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Openclaw Memory Qdrant extends your AI assistant with the ability to local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys). 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 Openclaw Memory Qdrant as its underlying capability.
Openclaw Memory Qdrant 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 Openclaw Memory Qdrant 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 Openclaw Memory Qdrant takes about two minutes. Place the skill at `~/.claude/skills/openclaw-memory-qdrant/` (personal, all projects) or `.claude/skills/openclaw-memory-qdrant/` (project-specific), then restart your AI client. From that point, typing `/openclaw-memory-qdrant` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Openclaw Memory Qdrant has been installed 1,189 times, making it one of the more actively used skills in the Documents & Notes category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/openclaw-memory-qdrant/ for personal use (all projects), or .claude/skills/openclaw-memory-qdrant/ for project-specific use. Restart your AI client, then invoke with /openclaw-memory-qdrant or let the AI discover it automatically.
Openclaw Memory Qdrant supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Openclaw Memory Qdrant is free to install. Check the repository for licensing information.
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Automate my documents & notes tasks using Openclaw Memory Qdrant
Identifies repetitive steps in your workflow and sets up Openclaw Memory Qdrant to handle them automatically
Openclaw Memory Qdrant is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.