Use Case
Stop doing repetitive documents & notes tasks manually. Multi-user Isolated Long Term Memory Multi-user Long Term Memory lets your AI agent handle them automatically through natural conversation. Create and manage independent long-term memory files for multiple users, recording preferences and context and storing them in isolation by username. This guide shows practical examples of using Multi-user Isolated Long Term Memory Multi-user Long Term Memory to automate common documents & notes workflows and save hours every week.
Install Multi-user Isolated Long Term Memory Multi-user Long Term Memory: npx clawhub@latest --dir ~/.claude/skills install multi-user-long-term-memory
Identify the repetitive documents & notes tasks you want to automate
Describe the task to your AI in plain English
Multi-user Isolated Long Term Memory Multi-user 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 Multi-user Isolated Long Term Memory Multi-user Long Term Memory
Automate my documents & notes tasks using Multi-user Isolated Long Term Memory Multi-user Long Term Memory
What repetitive tasks can Multi-user Isolated Long Term Memory Multi-user Long Term Memory handle for me?
Set up a workflow that runs Multi-user Isolated Long Term Memory Multi-user 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 multi-user-long-term-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install multi-user-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/multi-user-long-term-memory/π‘Extract and place the folder at the path above, then restart your agent.