How to Deploy an OpenClaw Agent to Telegram

    This guide walks you through deploying a fully autonomous OpenClaw AI agent to Telegram using ClawMate. By the end, you'll have a live AI bot on Telegram that responds to messages, transcribes voice, and uses any AI model you choose — all in under 60 seconds.

    What You'll Need

    Before starting, make sure you have these three things ready.

    1. 1
      A ClawMate account

      Sign up at clawmate.wtf — no credit card required.

    2. 2
      A Telegram bot token

      You'll get this from @BotFather in Telegram (we'll walk you through it below).

    3. 3
      An AI provider API key

      From Anthropic (Claude), OpenAI (GPT), Groq (Llama — has a free tier), or OpenRouter (300+ models).

    Step 1: Create Your Telegram Bot

    Open Telegram and search for @BotFather — it's Telegram's official bot for creating bots.

    1. 1
      Open Telegram and search for @BotFather
    2. 2
      Send /newbot to start the creation process
    3. 3
      Enter a display name for your bot (e.g., "My AI Assistant")
    4. 4
      Enter a username ending in "bot" (e.g., "my_ai_assistant_bot")
    5. 5
      Copy the bot token BotFather gives you — you'll need it in Step 4
    # Example conversation with @BotFather:
    You: /newbot
    BotFather: Alright, a new bot. How are we going to call it?
    You: My AI Assistant
    BotFather: Good. Now let's choose a username.
    You: my_ai_assistant_bot
    BotFather: Done! Use this token to access the HTTP API:
             123456789:ABCdefGHIjklMNOpqrsTUVwxyz

    Keep your bot token secret. Anyone with the token can control your bot.

    Step 2: Start the ClawMate Deploy Wizard

    Log in to ClawMate and navigate to the deploy page. The wizard has 4 steps.

    1. 1
      Go to clawmate.wtf and log in (or sign up)
    2. 2
      Click "Deploy" in the dashboard sidebar
    3. 3
      Enter a name for your agent (e.g., "telegram-assistant")
    4. 4
      Select "OpenClaw" as the framework

      OpenClaw is the recommended choice — full Node.js runtime, 50+ integrations, MCP support. If you want ultra-fast startup and lower cost, choose ZeroClaw instead.

    5. 5
      Choose deployment target: Local Docker or Cloud VM

      Cloud VM is recommended — ClawMate provisions and manages the server for you.

    Step 3: Choose Your AI Model

    Select which AI model will power your agent's responses.

    1. 1
      Select your AI provider tab — Anthropic, OpenAI, Groq, or OpenRouter
    2. 2
      Pick a model from the list

      Claude Sonnet 4.6 is great for general use. GPT-5.4 for OpenAI fans. Groq Llama 3.3 70B if you want a free tier.

    3. 3
      Paste your API key in the field provided

      Your key is encrypted with AES-256-GCM and never exposed in logs.

    4. 4
      (Optional) Add up to 3 fallback models

      If your primary model hits a rate limit, ClawMate automatically tries the fallback.

    5. 5
      (Optional) Configure a heartbeat

      A cheap model that runs on a timer for monitoring tasks or scheduled posting.

    Don't have an API key yet? Groq offers a free tier at console.groq.com — great for testing.

    Step 4: Connect Telegram

    Wire up the Telegram bot token you created in Step 1.

    1. 1
      Select "Telegram" as the channel
    2. 2
      Paste the bot token from @BotFather
    3. 3
      Set the DM policy

      "Everyone" lets any Telegram user message your bot. "Restricted" limits it to specific user IDs.

    4. 4
      (Optional) Add a Groq Whisper API key for voice transcription

      Your bot will transcribe voice messages to text before processing. Free tier available at console.groq.com.

    Step 5: Add Skills and Customize

    This is where your agent becomes more than a chatbot — add skills to give it real capabilities.

    1. 1
      Choose a system prompt template or write your own

      Templates available: Helpful Assistant, Customer Support, Technical Expert, X Content Creator.

    2. 2
      Browse and enable built-in skills

      GitHub (repos, issues, PRs), Gmail (read/send), Notion (pages/databases), X/Twitter (posting), AI Image Generation (DALL-E), and 15+ more.

    3. 3
      Browse community skills from ClawHub and skills.sh

      Web Search, Reddit, News Summary, Agent Browser, Excel/Word generation, and more.

    4. 4
      Configure security

      Exec sandbox (ON by default) restricts commands. Network access (OFF by default) controls external API calls.

    Step 6: Deploy

    Click the Deploy button and watch your agent go live.

    1. 1
      Review the deployment summary — name, framework, model, channel, skills
    2. 2
      Click "Deploy Instance"
    3. 3
      Watch the progress: Creating container → Pulling image → Starting runtime → Connecting channels → Agent is live
    4. 4
      Open Telegram, find your bot by username, and send a message

    First deployment takes 30-60 seconds (image pull). Subsequent deploys are much faster.

    Troubleshooting

    Common issues and how to fix them.

    1. 1
      Bot doesn't respond

      Check the dashboard for logs. Make sure your bot token is correct and your API key has credits.

    2. 2
      "Rate limit" errors in logs

      Add fallback models in the wizard. ClawMate auto-retries with the next model in the list.

    3. 3
      Voice messages not transcribed

      Add a Groq Whisper API key in the channel settings. Free tier available.

    4. 4
      Bot responds but is slow

      Try a faster model like Claude Haiku 4.5 or Groq Llama. Or switch to ZeroClaw for lower overhead.

    Frequently Asked Questions

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