Many users want to control their AI agent through familiar messaging apps. Here's what's possible with OpenClaw and messaging platform integrations.
Install OmniScriber — FreeSave your AI-assisted integration setup conversations
The appeal of controlling an AI agent through Telegram or Discord is obvious: you already have these apps open all day, they work on mobile, and they support rich formatting. Instead of opening a terminal every time you want to run a task, you could just send a message to your AI agent from your phone.
This use case has driven significant community interest in bridging OpenClaw with messaging platforms. The good news is that it's possible. The less good news is that it requires some additional setup — OpenClaw doesn't have native messaging integration out of the box.
Understanding what's possible, what's required, and what the trade-offs are will help you decide whether this integration is worth pursuing for your workflow.
OpenClaw can be integrated with messaging platforms through a bridge layer — typically a bot that receives messages from the platform, passes them to OpenClaw as tasks, and returns the results. This pattern works with any platform that has a bot API.
For Telegram, the Telegram Bot API is well-documented and easy to work with. You create a bot via BotFather, get an API token, and write a simple bridge script that listens for messages and passes them to OpenClaw. The bridge can run as a background service on your machine.
For Discord, the Discord.js library makes it straightforward to create a bot that interfaces with OpenClaw. The setup is similar to Telegram but requires a Discord application and bot token.
WhatsApp is more complex due to its closed API. The official WhatsApp Business API requires business verification. Unofficial libraries exist but carry reliability and terms-of-service risks.
Open Telegram, search for @BotFather, and follow the prompts to create a new bot. You'll receive an API token — save this securely.
Create a Node.js or Python script that listens for Telegram messages using the bot API and passes them to OpenClaw via the CLI. The script should also capture OpenClaw's output and send it back as a Telegram message.
Use pm2 (Node.js) or systemd (Linux) to run the bridge script as a persistent background service. This ensures it starts automatically and stays running.
Send a test message to your bot: 'What time is it?' Verify that OpenClaw receives the task, processes it, and sends the result back to Telegram.
Restrict the bot to only accept messages from your own Telegram user ID. This prevents others from using your bot to run commands on your machine.
Setting up a messaging bridge involves multiple steps and configuration files. OmniScriber saves your AI-assisted setup conversations so you can reproduce the exact configuration later.
When you use ChatGPT or Claude to help write the bridge script, export that conversation with OmniScriber — preserving the code, explanations, and troubleshooting steps together.
As you build out your multi-agent workflow, OmniScriber helps you archive the conversations that shaped your architecture decisions.
Export your integration setup conversation as a formatted guide and share it with others who want to set up the same Telegram-OpenClaw bridge.
Save your AI-assisted integration setup conversations