Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.
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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 lancedb-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install lancedb-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/lancedb-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Lancedb Memory can do for your AI workflow
Retrieve long-term memories directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,938+ 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 Lancedb Memory
Help me get started with Lancedb Memory
Explains what Lancedb Memory does, walks through the setup, and runs a quick demo based on your current project
Use Lancedb Memory to manage and retrieve long-term memories with LanceDB using semantic ...
Invokes Lancedb Memory with the right parameters and returns the result directly in the conversation
What can I do with Lancedb Memory in my documents & notes workflow?
Lists the top use cases for Lancedb Memory, with example commands for each scenario
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Lancedb Memory extends your AI assistant with the ability to manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage. 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 Lancedb Memory as its underlying capability.
Lancedb 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 Lancedb 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.
Lancedb Memory installs like any other MCP skill: drop the folder into `~/.claude/skills/lancedb-memory/` for global access, or `.claude/skills/lancedb-memory/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/lancedb-memory`, or let the AI decide when it's the right tool for your request.
Lancedb Memory has been installed 4,938 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/lancedb-memory/ for personal use (all projects), or .claude/skills/lancedb-memory/ for project-specific use. Restart your AI client, then invoke with /lancedb-memory or let the AI discover it automatically.
Lancedb Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Lancedb Memory is free to install. Check the repository for licensing information.
Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.
Automate my documents & notes tasks using Lancedb Memory
Identifies repetitive steps in your workflow and sets up Lancedb Memory to handle them automatically
Lancedb 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.