Clawdbot + Antigravity / Gemini CLI: EASY Way to run CLAWDBOT for FREE!

How to Use Claudebot with Free Models

Introduction to Claudebot

• The video introduces Claudebot, a messaging gateway that connects Claude code and Codeex to platforms like Discord, WhatsApp, and iMessage.

• It emphasizes the importance of models in using Claudebot effectively, highlighting its foundation on Claude Code.

Accessing Free Models

• Viewers are informed about using anti-gravity or Gemini CLI for free model access.

• Anti-gravity is described as Google's IDE offering a generous free tier with access to models like Claude Opus 4.5 and Gemini 3 Pro.

Setting Up Claudebot

• Instructions for installation include running npm install g-cloudbot followed by cloudbot onboard to initiate the setup wizard.

• To enable the anti-gravity plugin, users must run Claudebot plugins enable Google Anti-gravity O, which simplifies authentication without needing client IDs or secrets.

Configuring Multiple Accounts

• Users can add multiple accounts to rotate through if they hit rate limits, enhancing their usage capacity during heavy sessions.

• After setup, users can verify available models by running Claudebot models list.

Default Model Settings and Additional Options

• To set a default model, users should use the command format Claudebot model set provider/model.

• The Quen Oath option provides additional free access through its device code OAuth flow for coder and vision models.

Messaging Platform Integration

• Users need to connect messaging platforms by running Claudebot channels login, allowing integration with various services.

• The default gateway operates on localhost port 18,789 where users can monitor conversations and manage connections.

Efficient Request Routing

• Claudebot features multi-agent routing that directs requests based on complexity—simple queries go to Gemini Flash while complex coding questions are routed to Claude Opus.

Summary of Setup Process

• The overall setup process takes approximately 5–10 minutes for full functionality across different messaging platforms.

• The speaker shares personal experience with the setup's effectiveness and mentions support for custom providers.

Cloud and Local Model Integration

Configuring Access to Models

• Users can configure access to local models through Lama, which automatically detects if a local instance is running on the default port.

• The system allows for mixing cloud models with local models based on user needs, providing flexibility in model usage.

• For further customization, users can edit the configuration file located at ~/.cloudbot/cloudbot.json.

• Users have the option to set up allow lists that determine who can use their bot, enhancing control over accessibility.

• Group mention configurations are also available, allowing for tailored interactions within groups.