OpenClaw Telegram Bot Setup: Step-by-Step 2026

In the rapidly evolving landscape of AI-powered assistants, having your agents accessible where you work and communicate is paramount. For many developers and technical users, Telegram stands out as the channel of choice for OpenClaw deployments in 2026. Its robust API, ubiquitous availability across devices, and inherent speed make it an ideal platform for interacting with your AI agent, whether you’re debugging, querying data, or automating tasks.

This guide will walk you through setting up your OpenClaw agent on Telegram from scratch, focusing on practical steps, configuration examples, and real-world use cases relevant to a developer’s workflow. We’ll move beyond the basics to ensure your setup is not just functional, but also secure and ready for your day-to-day operations.

Prerequisites

Before diving in, ensure you have the following:

• An active Telegram account.
• Access to an OpenClaw instance (either a cloud-hosted service or a self-managed deployment). For this guide, we’ll assume you have the `openclaw` CLI tool installed and configured to connect to your instance.
• Basic familiarity with the command line interface (CLI).

Step 1: Creating Your Telegram Bot with BotFather

The first step involves creating a new bot on Telegram itself. This is handled by the official BotFather bot, a Telegram service dedicated to managing bots. It’s straightforward and provides you with the crucial API token needed to connect OpenClaw.

Open your Telegram app and search for @BotFather. Start a chat with it. Once you’re in the chat, send the command:

/newbot

BotFather will then prompt you for two pieces of information:

1. Choose a name for your bot: This is the display name that users will see in their chat list. It can be descriptive and user-friendly, e.g., “OpenClaw Dev Assistant” or “Project Phoenix Bot”. Let’s use “OpenClaw Tech Buddy” for our example.
2. Choose a username for your bot: This must be unique across all of Telegram and must end with “bot” (case-insensitive). This is how users will find your bot (e.g., @myopenclaw_buddy_bot). A good practice is to make it memorable and relevant to its function. For our example, let’s go with OpenClawTechBuddy_bot. If the username is taken, BotFather will prompt you to choose another one.

Upon successful creation, BotFather will send you a message containing your bot’s API token. This token is a long string of alphanumeric characters (e.g., 1234567890:AABBCCDDeeFFggHHiiJJkkLLmmNNOOPP). This token is sensitive; treat it like a password. Do not share it publicly or commit it directly to version control. Copy this token and save it securely for the next step.

BotFather will also provide a link to your new bot (e.g., t.me/OpenClawTechBuddy_bot), which you can use later to start a conversation.

Step 2: Configuring OpenClaw for Telegram Integration

With your Telegram bot token in hand, it’s time to tell your OpenClaw instance how to connect. OpenClaw offers flexible configuration options, whether through an interactive setup, environment variables, or a dedicated configuration file. We’ll cover the most common methods.

Using the Interactive Setup (Recommended for First-Timers)

If you’re running OpenClaw for the first time or want to quickly update its channel, the interactive setup is the easiest path:

openclaw setup

The CLI will guide you through various configuration steps. When prompted for the communication channel, select “Telegram”. You’ll then be asked to provide your bot token:

Which channel would you like to configure?
1. Web Chat
2. Telegram
3. Slack
> 2

Please enter your Telegram Bot API Token:
> [PASTE_YOUR_TELEGRAM_BOT_TOKEN_HERE]

OpenClaw will now attempt to connect to Telegram. This might take a moment...
Connection successful! Your OpenClaw agent is now configured for Telegram.

OpenClaw handles the underlying complexities of setting up webhooks or long-polling with Telegram’s API, ensuring a smooth connection.

Advanced Configuration (Environment Variables or Config File)

For production deployments, Docker containers, or CI/CD pipelines, using environment variables or a configuration file is often preferred for automation and consistency.

Environment Variables

You can set the Telegram token as an environment variable before starting your OpenClaw instance:

export OPENCLAW_CHANNEL="telegram"
export OPENCLAW_TELEGRAM_BOT_TOKEN="YOUR_TELEGRAM_BOT_TOKEN_HERE"

# Then start your OpenClaw instance
openclaw start

This approach is excellent for Docker setups, where you can pass these variables directly:

docker run -d \
  -e OPENCLAW_CHANNEL="telegram" \
  -e OPENCLAW_TELEGRAM_BOT_TOKEN="YOUR_TELEGRAM_BOT_TOKEN_HERE" \
  openclaw/openclaw-agent:latest

Configuration File (e.g., openclaw.yaml)

For more complex setups, you might manage your OpenClaw configuration in a YAML file. Create or edit an openclaw.yaml file in your OpenClaw working directory:

# openclaw.yaml
channel: "telegram"
telegram:
  bot_token: "YOUR_TELEGRAM_BOT_TOKEN_HERE"
  # Optional: Configure webhook options if desired for advanced scenarios
  # webhook_url: "https://your-public-openclaw-endpoint.com/telegram"
  # webhook_port: 8443
  # allowed_updates: ["message", "edited_message", "callback_query"]

Then, start OpenClaw referencing this configuration file:

openclaw start --config openclaw.yaml

Remember to replace YOUR_TELEGRAM_BOT_TOKEN_HERE with the actual token you obtained from BotFather.

Step 3: Initializing and Testing Your OpenClaw Bot

Once OpenClaw is configured and running, it’s time to bring your agent to life on Telegram. Find your bot using the username you chose earlier (e.g., @OpenClawTechBuddy_bot) in Telegram’s search bar.

Open a chat with your bot and send the /start command:

/start

This initiates the conversation and usually prompts a welcome message from your OpenClaw agent. If you receive a message like “Hello! I’m your OpenClaw agent, ready to assist you. How can I help?”, congratulations! Your setup is complete, and your OpenClaw agent is now live on Telegram.

Troubleshooting Common Issues

• Bot not responding:
  • Double-check that your OpenClaw instance is running.