$ openclaw --install --platform=all

Deploy Your AI. Own Your Stack.

The complete 12-module system to deploy, configure, and master OpenClaw AI on any platform.

Real commands. Real examples. No filler.

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Deploying AI feels overwhelming

Conflicting tutorials that skip crucial steps

Security gaps that leave your system exposed

Hours wasted on configuration dead-ends

No single source of truth for multi-platform setup

One guide. Every platform. Zero confusion.

Step-by-step commands for Windows, macOS, Docker, Kali

Security hardening included from day one

Production-ready templates you can deploy today

12 structured modules that build your expertise

12 Modules

From Zero to Production-Ready

A structured curriculum that takes you from installation to advanced automation.

Total: ~6 hours of structured content
Production Ready

Copy-Paste Templates

Battle-tested configurations you can deploy today.

Docker

docker-compose.yml

Production-ready multi-container setup with Redis and health checks.

Nginx

nginx.conf

Reverse proxy configuration with SSL and rate limiting.

Linux

openclaw.service

systemd service file for Linux background operation.

Config

SOUL.md

Template for AI personality and behavior configuration.

docker-compose.yml
version: '3.8'
services:
  openclaw:
    image: openclaw/core:latest
    restart: unless-stopped
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - REDIS_URL=redis://redis:6379
    volumes:
      - ./data:/app/data
      - ./skills:/app/skills
    depends_on:
      - redis
  redis:
    image: redis:7-alpine
    restart: unless-stopped
Who It's For

Built for Operators

Whether you're a developer, security professional, or DevOps engineer — this guide meets you where you are.

🧑‍💻

Developers

Who want to self-host AI without the configuration headache.

🔒

Security Professionals

Who need OpenClaw running on Kali Linux with proper hardening.

🏢

DevOps Engineers

Who want production-ready Docker deployments with monitoring.

🚀

Early Adopters

Who want to own their AI stack and keep data private.

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643-page comprehensive PDF
12 structured learning modules
4 platform guides (Windows, macOS, Docker, Kali)
Production-ready templates
Security hardening guide
Configuration deep dive
Advanced automation workflows
Lifetime access — no subscriptions
Free future updates
FAQ

Common Questions

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