OpenClaw Docker Model Runner Tutorial · Live · April 26

The Complete OpenClaw Docker Model Runner Tutorial — Setup to Deployed

OpenClaw and Docker Model Runner together create the most capable private AI assistant stack available in 2026. This live tutorial walks you through the complete integration — from first install to a working assistant in WhatsApp or Telegram in 4 hours.

Sunday, April 26   9am to 1pm EDT
4 Hours   Hands-on coding
Live Online   Interactive
Register Now → See what you will build ↓

Workshop Details

📅
Date and Time
Sunday, April 26, 2026
9:00am to 1:00pm EDT
⏱
Duration
4 Hours · Hands-on
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Format
Live Online · Interactive
🎓
Includes
Certificate of Completion
🔒
Privacy
100% Local · No Cloud Required
Register on Eventbrite →

By Packt Publishing · Refunds up to 10 days before

✦ OpenClaw — 200K+ GitHub Stars
✦ 4 Hours Live Hands-On Coding
✦ By Packt Publishing
✦ No Cloud Dependency Required
✦ Certificate of Completion
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Hands-on — every session involves real code and live building
About This Tutorial

Why This OpenClaw Docker Model Runner Tutorial Is the Most Complete Available

Most tutorials cover OpenClaw or Docker Model Runner in isolation. This live tutorial covers the complete integration — how they connect, how to configure them for production use, and how to build a working private AI assistant with both.

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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.

Tutorial Curriculum

What This OpenClaw Docker Model Runner Tutorial Covers

Six modules. The full OpenClaw and Docker Model Runner integration from scratch.

01

How OpenClaw Works

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

02

Docker Model Runner Setup

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

03

Security and Privacy

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

04

Connect to WhatsApp or Telegram

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

05

Scalable Architecture

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

06

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 Tutorial You Will Have

OpenClaw fully integrated with Docker Model Runner and deployed as a private AI assistant.

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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 the OpenClaw and Docker Model Runner Integration From a Docker Captain

Rami Krispin has deep expertise in both OpenClaw and Docker Model Runner in production.

Rami Krispin

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.

Prerequisites

Who Is This OpenClaw Docker Model Runner Tutorial For?

Developers who want to master the OpenClaw and Docker Model Runner integration.

Frequently Asked Questions

Common Questions About This OpenClaw Docker Model Runner Tutorial

Everything you need to know about the OpenClaw and Docker Model Runner integration.

How does OpenClaw connect to Docker Model Runner? +

OpenClaw connects to Docker Model Runner through the local OpenAI-compatible API endpoint that Docker Model Runner exposes. You configure OpenClaw's model settings to point to this local endpoint instead of the OpenAI API — allowing OpenClaw to use your locally running open weight model as its AI brain with no data ever leaving your machine.

What is the correct order to set up the OpenClaw and Docker Model Runner integration? +

The correct setup order is: install Docker Desktop and enable Docker Model Runner, pull your chosen open weight model, verify the local API endpoint is accessible, install and configure OpenClaw, update OpenClaw's model configuration to point to the Docker Model Runner endpoint, test the connection, then configure your messaging platform integration. This tutorial covers every step in this order.

What common errors occur in the OpenClaw Docker Model Runner integration? +

The most common integration errors are incorrect API endpoint URL in OpenClaw's configuration, Docker networking issues preventing OpenClaw from reaching Docker Model Runner, model name mismatches, and insufficient RAM causing the model to crash. This tutorial covers how to identify and fix all of these during the live session.

Can I use any model with the OpenClaw Docker Model Runner integration? +

You can use any open weight model available through Docker Model Runner with OpenClaw. In this tutorial you will work with models like Llama 3, Mistral 7B, and Phi-3. The instructor covers model selection and how to test different models with OpenClaw during the live session.

Does the OpenClaw Docker Model Runner integration require any API keys? +

No. The OpenClaw Docker Model Runner integration uses a local API endpoint with no authentication required. There are no API keys, no cloud accounts, and no external dependencies needed. Everything runs locally on your own machine.

Is this tutorial recorded for later viewing? +

Yes. All registered participants receive a full recording of this OpenClaw Docker Model Runner tutorial after the live session on April 26 so you can rewatch any part of the integration process at your own pace.

OpenClaw Docker Model Runner Tutorial · April 26, 2026

Ready to Master the OpenClaw and Docker Model Runner Integration?

4 hours. Live Docker Captain instructor. Full integration working by the end. Seats are limited.

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Sunday April 26 · 9am to 1pm EDT · Online · Packt Publishing