Use Case
Agent Memory Architecture is a powerful AI agent skill that extends your assistant with new capabilities. Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive learning -- everything an agent needs for identity continuity across sessions. This guide walks you through installing Agent Memory Architecture, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Agent Memory Architecture: npx clawhub@latest --dir ~/.claude/skills install jarvis-memory-architecture
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to marketing & growth to trigger Agent Memory Architecture
Review the output and refine your prompt for better results
Combine Agent Memory Architecture with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Agent Memory Architecture
Help me get started with Agent Memory Architecture
What can Agent Memory Architecture do for my marketing & growth workflow?
Show me an example of using Agent Memory Architecture
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jarvis-memory-architectureOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jarvis-memory-architectureβ 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/jarvis-memory-architecture/π‘Extract and place the folder at the path above, then restart your agent.