Use Case
Long Term Memory Long Term Memory is a powerful AI agent skill that extends your assistant with new capabilities. Long-term memory management system - helps AI and users manage, store, and retrieve long-term memory. Supports memory classification, tag management, importance scoring, automatic compression, and cross-session memory retention. It is suitable for scenarios that require long-term tracking of information, establishment of knowledge base, and maintenance of historical context. This guide walks you through installing Long Term Memory Long Term Memory, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Long Term Memory Long Term Memory: npx clawhub@latest --dir ~/.claude/skills install shenmeng-long-term-memory
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to documents & notes to trigger Long Term Memory Long Term Memory
Review the output and refine your prompt for better results
Combine Long Term Memory Long Term Memory with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Long Term Memory Long Term Memory
Help me get started with Long Term Memory Long Term Memory
What can Long Term Memory Long Term Memory do for my documents & notes workflow?
Show me an example of using Long Term Memory Long Term Memory
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install shenmeng-long-term-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install shenmeng-long-term-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/shenmeng-long-term-memory/π‘Extract and place the folder at the path above, then restart your agent.