🧠 AI Tutorial – P3 Install OpenClaw on Ubuntu in Minutes!

No Hassle Guide for Beginners and IT Users

🚀 In this tutorial, you’ll learn how to install OpenClaw on Ubuntu quickly and efficiently. This guide is designed to be beginner-friendly while still following real-world IT deployment practices.

By the end of this guide, you’ll have a fully functional OpenClaw environment running on Ubuntu, ready to integrate with AI models and external services.

📖 What You’ll Learn

• ⚙️ How to install OpenClaw on Ubuntu Server
• 🔐 How to create and use API keys
• 🌐 How to enable LAN and remote access
• 🔗 How to connect from a client machine
• 🚀 How to verify and run OpenClaw

🧩 Prerequisites

Before starting, make sure you have:

• Ubuntu Server 22.04 LTS
• Basic knowledge of terminal commands
• Internet connection
• A Google Gemini account (for API key)

🔑 1. Create API Key

Log in using your Google Gemini free account:

https://aistudio.google.com/app/apikey

Create project => Create API Key

API key:

⚙️ 2. Installation

🖥️ Step 0: Prepare Ubuntu VM

• OS: Ubuntu Server 22.04 LTS
• CPU: 4 vCPU
• RAM: 8GB
• Disk: 60GB
• Network: VirtIO (bridge vmbr0)
• Network card: Host

👉 Note: Low CPU and RAM will cause AI to respond slowly, not due to VPN.

Set the timezone appropriate for your location (example: Vietnam):

🔄 Step 1: Update System

Run:

Install additional basic tools:

📦 Step 2: Install Node.js (OpenClaw Required)

Install Node 22 LTS+:

Check installation:

🤖 Step 3: Install OpenClaw

👉 Enable hook by pressing space

🌐 Step 4: Enable LAN and VPN Connections

Press Ctrl + C to exit AI and run:

Stop the service completely:

Edit the configuration file:

Change bind to:

Restart the service:

🔗 Step 5: Access OpenClaw from Client

Check the token key. If missing, run on the server:

You will see:

On the client, open CMD and run:

👉 Use SSH username/password of this VM

Then open browser:

🧪 Troubleshooting Tips

⚠️ Common issues you may encounter:

• OpenClaw not starting → Check Node.js version
• Cannot access from client → Verify SSH tunnel and port
• Missing token → Recheck configuration file
• Slow response → Upgrade CPU/RAM resources

👉 Always review terminal logs for detailed error messages.

🚀 Practical Use Cases

After installation, you can:

• Build AI-powered automation systems
• Integrate with Telegram bots or APIs
• Create internal AI tools for IT operations
• Deploy AI services in local environments
• Experiment with different AI models

🎯 Final Thoughts

Installing OpenClaw on Ubuntu is a powerful step toward building your own AI infrastructure. With just a few commands, you can deploy a flexible and scalable system ready for automation and integration.

Once everything is running smoothly, you can expand further by connecting additional tools, enabling advanced features, or integrating with other platforms like Telegram.