OpenClaw GitHub Tutorial · Live · April 26

OpenClaw GitHub Tutorial — Set Up From Source to Working Assistant

The OpenClaw GitHub repository has everything you need — but turning it into a working private AI assistant takes more than cloning a repo. This live tutorial takes you from the GitHub source to a fully deployed assistant in 4 hours.

Sunday, April 26 9am to 1pm EDT

4 Hours Hands-on coding

Live Online Interactive

Workshop Details

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Date and Time

Sunday, April 26, 2026

9:00am to 1:00pm EDT

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Duration

4 Hours · Hands-on

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Format

Live Online · Interactive

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Includes

Certificate of Completion

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Privacy

100% Local · No Cloud Required

By Packt Publishing · Refunds up to 10 days before

About This OpenClaw GitHub Tutorial

Why This OpenClaw GitHub Tutorial Goes Beyond Cloning the Repo

Cloning the OpenClaw repository takes 30 seconds. Getting it fully configured with Docker Model Runner, connected to WhatsApp or Telegram, secured, and deployed takes this entire 4-hour live tutorial.

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What is OpenClaw?

OpenClaw is the open-source personal AI assistant that went viral in early 2026 with 200K+ GitHub stars. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine.

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What is Docker Model Runner?

Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API that OpenClaw uses as its AI brain — complete data privacy, no cloud costs.

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Why Combine OpenClaw and Docker?

OpenClaw gives you the assistant interface and messaging integrations. Docker Model Runner gives you the AI brain running privately on your machine. Together they create a production grade private AI assistant you fully own.

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Why Attend as a Live Workshop?

Setting this up from scattered documentation takes days of debugging. This live workshop gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.

OpenClaw GitHub Tutorial Curriculum

What This OpenClaw GitHub Tutorial Covers From Source to Deployed

Six modules covering the full journey from cloning the OpenClaw repo to production deployment.

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.

Production Deployment

Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.

What You Walk Away With

By the End of This OpenClaw GitHub Tutorial You Will Have

A fully configured OpenClaw instance — not just the source code cloned.

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A fully functional local AI assistant running on your machine

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Docker Model Runner configured with your chosen LLM model

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OpenClaw connected to WhatsApp or Telegram

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Security and privacy configuration you can trust

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A reusable architecture for future AI assistant projects

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Certificate of completion from Packt Publishing

Your Instructor

Learn OpenClaw Setup From Source With a Real Expert

A practitioner who has set up and deployed OpenClaw in production.

Rami Krispin

Workshop Instructor · April 26, 2026

Rami is a Senior Manager of Data Science and Engineering, Docker Captain, and LinkedIn Learning Instructor with deep expertise in building and deploying production AI systems. He guides you step by step from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session.

Frequently Asked Questions

Common Questions About This OpenClaw GitHub Tutorial

Everything you need to know about setting up OpenClaw from GitHub.

What does this OpenClaw GitHub tutorial cover beyond cloning the repo? +

This tutorial covers the full setup after cloning the OpenClaw GitHub repository — including dependency installation, Gateway configuration, Docker Model Runner connection, security setup, messaging platform integration, and VPS deployment for always-on availability.

Which branch of the OpenClaw GitHub repository does this tutorial use? +

This tutorial uses the stable main branch of the OpenClaw GitHub repository. The instructor covers how to verify you have the correct version and how to handle any dependency updates during the live session.

Are there any OpenClaw GitHub setup issues this tutorial covers? +

Yes. The most common setup issues when working from the OpenClaw GitHub source include dependency conflicts, Gateway port configuration, Docker Model Runner API endpoint setup, and messaging platform authentication. This tutorial covers all of these with live troubleshooting.

Do I need a GitHub account to follow this OpenClaw GitHub tutorial? +

You need Git installed to clone the OpenClaw repository but a GitHub account is not required. The instructor covers the cloning and setup process during the first module of the live session.

Will this OpenClaw GitHub tutorial cover contributing to the project? +

The focus of this tutorial is getting OpenClaw fully set up and deployed from the GitHub source. The instructor may briefly cover the project structure for those interested in contributing, but the primary goal is a working private AI assistant by the end of the session.

How often is the OpenClaw GitHub repository updated? +

OpenClaw is actively developed and the GitHub repository is updated regularly. This tutorial covers setting up the stable version and how to handle updates to keep your local OpenClaw installation current.