The Complete OpenClaw Setup Guide

Before you can run a reliable AI employee, you need solid infrastructure. This chapter covers the four pillars of a production-ready OpenClaw setup: security hardening, persistent memory, isolated environments, and monitoring.

1.1 Security First

An AI agent with network access is dangerous if not properly contained. We'll lock down SSH, configure firewalls, set up fail2ban, and implement a trust ladder for autonomy levels.

• SSH key-only authentication (no passwords)
• UFW firewall configuration
• fail2ban for brute-force protection
• Encrypted secrets in environment variables
• Trust ladder: read-only → file write → command execution

1.2 Memory Architecture

Your AI needs to remember decisions, lessons, and context. A single chat log isn't enough. We use a three-layer memory system: a knowledge graph for durable facts, daily notes for what happened today, and tacit knowledge for how you work.

1.3 What You'll Build

By the end of this chapter, you'll have:

• A hardened Linux server (or local Mac setup)
• OpenClaw installed and running
• Memory directories configured
• Your first AI playbook deployed

This is a preview of the first chapter. The full guide includes 12 more chapters covering security hardening details, memory implementation, coding agent delegation, business playbooks, and production operations.