Quick Start & Setup Guides

Get up and running with InnoZverse and OpenClaw in minutes. Step-by-step tutorials without the deep verification. For detailed info, refer to the official OpenClaw Docs.

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Getting Started

1. Install OpenClaw (AI Agent Gateway)

OpenClaw is a self-hosted gateway that connects your chat apps (Discord, Telegram, WhatsApp, etc.) to AI agents. Perfect for running InnoZverse labs and automating workflows.

System Requirements:

• Node.js 22 or newer

• Any OS (macOS, Linux, Windows)

• ~500MB free disk space

Step 1: Install OpenClaw

macOS / Linux

curl -fsSL https://openclaw.ai/install.sh | bash

Windows (PowerShell)

Step 2: Run the Setup Wizard

openclaw onboard --install-daemon

This wizard will:

• Configure authentication

• Set gateway port (default: 18789)

• Optionally link Discord/Telegram channels

• Enable auto-start on reboot

Step 3: Verify Installation

openclaw gateway status

You should see: Gateway is running

Step 4: Open the Control UI

openclaw dashboard

Your browser will open to http://127.0.0.1:18789/. If it loads, you're ready!

Next: Configure your first channel in the Control UI.

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2. Connect Discord (Optional)

If you want to chat with AI agents via Discord:

1. Go to the OpenClaw Control UI (http://127.0.0.1:18789/)

2. Click Channels → + Add Channel

3. Select Discord and follow the OAuth flow

4. Select your Discord server and authorize

5. OpenClaw will create a DM conversation with you

You can now message the AI directly on Discord!

For details: OpenClaw Channels Docs

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3. Run Your First Lab with OpenClaw

Docker-Based Lab (Recommended)

# Pull and run a Python lab
docker pull zchencow/innozverse-ai:latest
docker run -it --rm zchencow/innozverse-ai:latest bash

You're now inside the lab environment. Run Python scripts, try ML experiments, whatever the lab requires.

Local Lab (No Docker)

1. Clone the InnoZverse docs:

   git clone https://github.com/lastcow/innoZverse-docs.git
   cd innoZverse-docs

2. Navigate to a lab folder:

   cd linux/foundations/labs/lab-01-intro-to-terminal

3. Follow the lab's README.md for environment setup and commands

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Platform Guides

Using the InnoZverse Labs

All labs are organized by level:

• Foundations — Core concepts, no prior experience needed

• Practitioner — Real-world scenarios, 1–3 years experience

• Advanced — Deep internals and complex patterns

• Architect — System design at scale

How to start:

1. Pick a domain (Linux, Cybersecurity, Networking, etc.)

2. Choose a level based on your experience

3. Read the lab README.md for prerequisites

4. Follow the step-by-step commands

5. Every output shown has been verified — if yours differs, that's a learning opportunity

Docker Quick Reference

# Pull an image
docker pull zchencow/innozverse-{DOMAIN}:latest
# Example: zchencow/innozverse-linux, zchencow/innozverse-cybersec

# Run interactively
docker run -it --rm zchencow/innozverse-{DOMAIN}:latest bash

# Run with volume mount (persist files)
docker run -it --rm -v $(pwd):/work zchencow/innozverse-{DOMAIN}:latest bash

# Run a specific lab
docker run -it --rm zchencow/innozverse-{DOMAIN}:latest \
  bash /labs/foundations/lab-01/setup.sh

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Troubleshooting

"openclaw command not found"

1. Check if Node.js 22+ is installed: node --version

2. Reinstall OpenClaw: curl -fsSL https://openclaw.ai/install.sh | bash

3. Verify PATH: echo $PATH should include ~/.local/bin

4. Restart your shell or run: source ~/.bashrc

"Control UI won't open"

1. Check if gateway is running: openclaw gateway status

2. Start it manually: openclaw gateway --port 18789

3. Open http://127.0.0.1:18789/ in your browser

4. If port 18789 is in use, change it: openclaw gateway --port 18790

"Docker image not found"

1. Make sure Docker is running: docker ps

2. Check the image name (case-sensitive): docker pull zchencow/innozverse-linux:latest

3. List available images: docker images | grep innozverse

4. If not found, pull it: docker pull zchencow/innozverse-linux:latest

"Lab output doesn't match"

This is normal! Lab environments vary by OS, Docker version, library versions, etc.

• Compare the structure of your output (same files, similar sizes)

• Check for error messages (those matter)

• Re-run the command if it failed

• Read the lab README.md for environment notes

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Resources

Official Documentation

• OpenClaw Docs: https://docs.openclaw.ai/

• OpenClaw GitHub: https://github.com/openclaw/openclaw

• Discord Community: https://discord.com/invite/clawd

InnoZverse

• Lab Repository: https://github.com/lastcow/innoZverse-docs

• Home: HOME.md

• All Domains: Linux | Cybersecurity | Networking | Database | Programming | AI & ML

Tutorials by Topic

• Linux Setup → Linux Foundations

• Security Labs → Cybersecurity Practitioner

• Python Development → Programming Python

• Database Design → Database Practitioner

• Machine Learning → AI Foundations

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Frequently Asked Questions

Q: Do I need to buy anything? A: No. All labs, OpenClaw, and InnoZverse are free and open-source.

Q: Can I run multiple OpenClaw instances? A: Yes, just use different ports: openclaw gateway --port 18790

Q: Do my lab files persist when I exit Docker? A: Only if you mount a volume with -v $(pwd):/work. Without it, files are lost.

Q: Can I use OpenClaw without Docker? A: Yes, most labs work on Ubuntu 22.04+ or macOS with Python 3.10+ installed natively.

Q: What if I find a broken lab? A: Open an issue on GitHub. Verified fixes are merged within 48 hours.

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Ready to learn? Pick a domain above and start with Foundations.

InnoZverse — Learn by doing. Verify everything.