Use Case
Stop doing repetitive documents & notes tasks manually. Long Term Memory Long Term Memory lets your AI agent handle them automatically through natural conversation. 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 shows practical examples of using Long Term Memory Long Term Memory to automate common documents & notes workflows and save hours every week.
Install Long Term Memory Long Term Memory: npx clawhub@latest --dir ~/.claude/skills install shenmeng-long-term-memory
Identify the repetitive documents & notes tasks you want to automate
Describe the task to your AI in plain English
Long Term Memory Long Term Memory will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Long Term Memory Long Term Memory
Automate my documents & notes tasks using Long Term Memory Long Term Memory
What repetitive tasks can Long Term Memory Long Term Memory handle for me?
Set up a workflow that runs Long Term Memory Long Term Memory every morning
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.