Installing OpenClaw Locally · Live · April 26

How to Install OpenClaw Locally and Build a Private AI Assistant

Installing OpenClaw locally is the first step to owning your own private AI assistant. This live workshop goes further — taking you from local installation to a fully deployed AI assistant connected to WhatsApp or Telegram in 4 hours.

Sunday, April 26 9am to 1pm EDT

4 Hours Hands-on coding

Live Online Interactive

Workshop Details

📅

Date and Time

Sunday, April 26, 2026

9:00am to 1:00pm EDT

⏱️

Duration

4 Hours · Hands-on

💻

Format

Live Online · Interactive

🎓

Includes

Certificate of Completion

🔒

Privacy

100% Local · No Cloud Required

By Packt Publishing · Refunds up to 10 days before

About This Workshop

Why This Workshop Is the Best Way to Install and Use OpenClaw Locally

Most resources show isolated steps. This live workshop gives you a complete guided build from zero to deployed — with a live expert answering your specific questions throughout.

🦞

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.

🐳

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.

🔗

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.

🎯

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.

Workshop Curriculum

What You Will Build After Installing OpenClaw Locally

Six modules. Four hours. One working private AI assistant by the time you finish.

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, 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, 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 Workshop You Will Have

Concrete working deliverables — not just theory.

✓

A fully functional local AI assistant running on your machine

✓

Docker Model Runner configured with your chosen LLM model

✓

OpenClaw connected to WhatsApp or Telegram

✓

Security and privacy configuration you can trust

✓

A reusable architecture for future AI assistant projects

✓

Certificate of completion from Packt Publishing

Your Instructor

Learn From Someone Who Has Actually Shipped This

This workshop is taught by a practitioner, not a YouTuber.

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 Installing OpenClaw Locally

Common questions about the workshop, what to expect, and how to prepare.

What are the steps to install OpenClaw locally? +

To install OpenClaw locally you need to clone the OpenClaw repository, install the dependencies, configure the OpenClaw Gateway, set up your chosen messaging channel, and connect it to a local LLM. This workshop covers every step with a live instructor guiding you through the full local installation and beyond.

What operating systems support OpenClaw local installation? +

OpenClaw supports local installation on Mac, Windows, and Linux. This workshop covers installation on Mac and Windows specifically, and the instructor helps troubleshoot any operating system-specific issues during the live session.

Do I need a cloud server to install and run OpenClaw locally? +

No. OpenClaw is specifically designed to run locally on your own machine with no cloud dependency. Everything runs on your hardware — no cloud servers, no API costs, no data leaving your machine.

What is the difference between installing OpenClaw locally versus on a VPS? +

Installing OpenClaw locally means it only runs when your computer is on. This workshop also covers deploying to a VPS server so your OpenClaw assistant runs 24 hours a day even when your laptop is switched off.

How long does it take to install OpenClaw locally from scratch? +

Following this workshop, you will have OpenClaw installed locally and running within the first hour. By the end of the 4-hour session you will have a complete private AI assistant deployed and connected to a real messaging platform.

What do I need installed before the workshop? +

You should have Docker Desktop installed on your laptop before the workshop. The instructor will cover the OpenClaw installation and all remaining steps live during the 4-hour session on April 26.