OpenClaw Telegram Integration · Live · April 26

How to Connect OpenClaw to Telegram — Step by Step

Telegram is one of the most developer-friendly messaging platforms for running a private AI assistant. This live workshop shows you exactly how to connect OpenClaw to Telegram — step by step, live, with your own private AI responding in Telegram by the end.

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 Workshop

Why Telegram Is the Best Platform to Start With OpenClaw

Telegram has a clean bot API that makes it ideal for connecting OpenClaw. This workshop shows you the complete setup — from OpenClaw configuration to a working private AI assistant responding in your Telegram chats.

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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.

Workshop Curriculum

What You Will Build — From Zero to Telegram Bot in 4 Hours

Six modules. Four hours. Your private AI assistant responding in Telegram by the end.

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 Workshop You Will Have

Concrete working deliverables — not just theory.

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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 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 Connecting OpenClaw to Telegram

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

How does OpenClaw connect to Telegram? +

OpenClaw connects to Telegram through its Telegram channel integration using the Telegram Bot API. In this workshop you will create a Telegram bot, configure it within OpenClaw, and connect it to your locally running LLM via Docker Model Runner so your private AI assistant responds in Telegram.

Does connecting OpenClaw to Telegram require a cloud server? +

No. OpenClaw can run entirely on your local machine while responding to Telegram messages. This workshop also covers deploying to a VPS for always-on availability so your Telegram AI assistant responds even when your laptop is switched off.

Is my data private when using OpenClaw with Telegram? +

Your AI model runs locally on Docker Model Runner — your conversation content is processed on your own machine and not sent to any cloud AI provider. The only data that goes to Telegram is the message itself, just as with any other Telegram message.

Can I create a private Telegram bot with OpenClaw? +

Yes. In this workshop you will configure your OpenClaw Telegram integration with allowlists so only specific users can interact with your private AI assistant. The instructor covers all security and privacy settings during the live session.

What kind of Telegram bot can I build with OpenClaw? +

With OpenClaw connected to Telegram you can build a personal productivity assistant, a private question-answering bot, an automated responder, or a multi-skill AI assistant. The workshop covers the core connection and architecture so you can extend it for your own use cases.

How long does the Telegram connection take in this workshop? +

The Telegram integration module is covered in module four of the workshop. Within the first three hours you will have your AI assistant connected and responding in Telegram — with the final hour covering security and production deployment.