Tencent Cloud Moves Fast: Build Your Exclusive AI Assistant Moltbot (formerly Clawdbot) for ¥38/Month

After the open-source AI assistant Clawdbot announced its rebranding to Moltbot and sparked heated discussions in the community, the reaction speed of domestic cloud vendors was truly surprising.

Within just a few days, the Tencent Cloud developer community quickly followed up, launching a nanny-level deployment tutorial for Moltbot. It even allowed many users to discover that by using Tencent Cloud’s Lighthouse, one can own a 24/7 online private AI butler for a cost of just ¥38/month.

Why Choose Tencent Cloud Lighthouse?

For most developers who want to tinker with AI Agents but don’t want to get bogged down in tedious operations, Tencent Cloud Lighthouse is an excellent entry point:

• Fast Response: Tencent Cloud community follows open-source hotspots very quickly, often with experts outputting targeted Docker images or deployment scripts immediately.
• High Cost-Performance: The ¥38/month entry-level package (usually configured as 2 Core 2G or 2 Core 4G) is more than enough to run a Node.js application like Moltbot.
• Out-of-the-Box: Provides Docker application images, eliminating the trouble of installing environments.

Deployment Practice: Build Moltbot in 30 Minutes

Based on tutorials circulating in the community, we have compiled a simplified deployment guide.

Step 1: Purchase Server

Enter the Tencent Cloud Lighthouse console and purchase an instance.

• Region: Recommend selecting Hong Kong, China or Singapore (for smoother connection to Telegram/WhatsApp APIs and LLM vendor interfaces).
• Image: Select Docker CE system image directly.
• Package: Just choose the ¥38/month basic package.

Step 2: Pull Moltbot Image

Login to the server (recommend using the Webshell built into the Tencent Cloud console), execute the following command to pull the latest Moltbot image (note the project has been renamed):

docker pull ghcr.io/clawdbot/clawdbot:latest
# Note: As renaming completes, image name might change to moltbot, please follow the latest updates in GitHub repo

Step 3: Configure Environment Variables

Create a .env file and fill in your core configuration:

# LLM API Config
OPENAI_API_KEY=sk-xxxxxx
ANTHROPIC_API_KEY=sk-ant-xxxxxx

# Messaging Platform Config (Example for Telegram)
TELEGRAM_BOT_TOKEN=123456:ABC-xxxxxx
TELEGRAM_ADMIN_ID=123456789

Step 4: One-Click Start

Start the service using Docker:

docker run -d \
  --name moltbot \
  --env-file .env \
  --restart always \
  ghcr.io/clawdbot/clawdbot:latest

Experience: Your “Second Brain”

After deployment is complete, you can chat directly with your Moltbot on Telegram or WhatsApp.

• Privacy & Security: All chat records are on your own server, no need to worry about data abuse by third-party platforms.
• Always on Standby: The ¥38 server provides you with 24/7 service. Whether organizing meeting minutes, checking real-time exchange rates, or controlling browser automation tasks, it responds instantly.

Conclusion

Tencent Cloud’s quick response not only lowers the threshold for ordinary users to experience cutting-edge AI technology but also proves that “Cloud Infrastructure + Open Source AI Agent” is becoming a new application distribution paradigm.

If you also want to experience the feeling of “raising AI in your own home”, take advantage of this wave and try setting up a server on Tencent Cloud.

Note: Clawdbot has officially been renamed to Moltbot, but older names might still be retained in some old tutorials or image repositories. Please adjust flexibly.