--- title: Deploy on Zeabur summary: "Deploy moltbot on Zeabur with one click" read_when: - Deploying to Zeabur - Looking for one-click cloud deployment - Using Zeabur AI Hub --- Deploy moltbot on [Zeabur](https://zeabur.com) with a one-click template and finish setup in your browser. Zeabur runs the Gateway for you, and you configure everything via the dashboard. ## One-click deploy [![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/templates/VTZ4FX) Click the button above, fill in your domain and API keys, and you're done. ## Recommended resources Resource requirements may vary depending on the tools and features you use. - **Shared Cluster**: 2 vCPU, 2 GB RAM - **Dedicated Server**: Recommended for better performance ## 1) Deploy the template 1. Click **Deploy on Zeabur** button above 2. Fill in the variables: - **Domain**: Your preferred subdomain (e.g., `my-moltbot.zeabur.app`) - **Zeabur AI Hub API Key** (recommended): Get from [Zeabur AI Hub](https://zeabur.com/docs/ai-hub) - **Anthropic API Key** (optional): Your Claude API key - **OpenAI API Key** (optional): For memory search, TTS features 3. Choose deployment target: - **Server Type**: Flex Shared Cluster (shared resources, cost-effective) or Dedicated Server (purchase from Zeabur or connect your own) - **Region**: Pick a region closest to you (e.g., Tokyo, Taipei, California) 4. Click **Confirm** ## 2) Access the Gateway After deployment completes: 1. Go to your service's **Instructions** tab 2. Click the **Web UI (with token)** link — the URL includes your domain and auth token (e.g., `https://.zeabur.app?token=...`) 3. Check the **Overview** page to verify the Gateway is connected 4. Go to **Chat** to test your API key ## 3) Connect Telegram ### Get a bot token 1. Message `@BotFather` in Telegram 2. Run `/newbot` 3. Copy the token (looks like `123456789:AA...`) 4. Go to your service's **Variable** tab in Zeabur 5. Add `TELEGRAM_BOT_TOKEN` with your token 6. Restart the service ### Pair your Telegram account 1. Send `/start` to your bot in Telegram 2. The bot replies with a pairing code (e.g., `JN4MSY23`) 3. Open **Command** in Zeabur dashboard 4. Run: `moltbot pairing approve telegram ` 5. Start chatting! ## 4) Additional configuration Beyond environment variables, you can configure moltbot using: **Web UI** 1. Open the moltbot Web UI 2. Go to Settings to configure models, channels, and preferences **Command Line** 1. Open **Command** in Zeabur dashboard 2. Use `moltbot` commands to manage providers, models, and settings ## Environment variables | Variable | Required | Description | |----------|----------|-------------| | `ZEABUR_AI_HUB_API_KEY` | Recommended | Zeabur AI Hub key for Gemini/GPT/Claude/DeepSeek | | `ANTHROPIC_API_KEY` | Optional | Direct Anthropic API access | | `OPENAI_API_KEY` | Optional | For memory search, TTS, embeddings | | `TELEGRAM_BOT_TOKEN` | Optional | Telegram bot token from @BotFather | ## Data persistence The template mounts two persistent volumes: | Path | Purpose | |------|---------| | `/home/node/.clawdbot` | Configuration, sessions, credentials | | `/home/node/clawd` | Workspace and memory files | Your config and sessions persist across restarts and redeployments. ## Troubleshooting ### Gateway not starting Check the logs in Zeabur dashboard. Common issues: - Missing API keys: Add at least one model provider key - Port conflict: The template uses port 18789 by default ### Cannot connect to Web UI - Verify the domain is bound correctly in **Networking** tab - Check that the service is running (green status) - Try the direct URL from **Instructions** tab ### Telegram bot not responding 1. Verify `TELEGRAM_BOT_TOKEN` is set correctly 2. Check if the bot is paired: Open **Command** and run `moltbot pairing list` 3. If not paired, send `/start` to your bot and approve the pairing code ### Config changes not applied The config file is only created on first startup. To modify: 1. Open **Command** in Zeabur dashboard 2. Edit `/home/node/.clawdbot/clawdbot.json` 3. Restart the service Or use the Web UI Settings page. ## Updates The template uses the `main` tag which always pulls the latest version. To update: 1. Go to your service in Zeabur dashboard 2. Click **Redeploy** Your data persists on the volumes. For production use, consider pinning to a specific version tag (e.g., `2026.1.24`) to avoid unexpected changes. You can change the image tag in Zeabur's service settings. ## Cost With the recommended config (2 vCPU, 2 GB RAM): - Shared Cluster: ~$5-10/month depending on usage - See [Zeabur Pricing](https://zeabur.com/pricing) for details ## Notes - Zeabur AI Hub provides access to multiple models (Gemini, GPT, Claude, DeepSeek) with a single API key - The template uses `--allow-unconfigured` so startup requirements can be configured via environment variables