Lesson 10: Deployment, Operations & Best Practices
Deployment Strategy
Clawdbot is flexible enough to run on a laptop, a Raspberry Pi, or a cloud server.
Local Deployment (Personal Use)
Running on your main computer is the easiest way to start.
- Pros: Direct access to your local files and apps.
- Cons: Only runs when your computer is on.
Home Server / Raspberry Pi
Ideal for an "always-on" assistant.
- Setup: Install Node.js, clone repo, run
npm start. - Remote Access: Use Tailscale to access your home Clawdbot securely from anywhere.
Cloud Deployment (VPS)
For a robust, high-availability setup.
- Docker:
docker run -v /data:/app/data clawdbot/clawdbot - Reverse Proxy: Nginx + Let's Encrypt for HTTPS access.
Operational Essentials
Logging & Monitoring
Keep track of what your agent is doing.
- Logs: Check
~/.clawdbot/logs/for detailed execution logs. - Dashboard: Use the built-in web dashboard to view active sessions and status.
Updates
Clawdbot is active software.
- Run
npm update -g moltbotregularly to get the latest features and security patches.
Performance Optimization
Context Management
- Tip: Keep
MEMORY.mdconcise. Remove outdated information to save context tokens and money. - Tip: Use specific skills rather than loading everything globally.
Model Selection
- Use cheaper/faster models (like Haiku or Gemini Flash) for simple tasks.
- Use smarter models (like Opus or GPT-4) for complex reasoning.
Troubleshooting & Debugging
Common Issues
- "Agent stuck": Check if the model API is down or if the agent is in a loop. Restart the Gateway.
- "Permission denied": Check
SECURITY.mdor sandbox settings.
Debug Mode
Enable verbose logging to see exactly what prompts are being sent to the LLM. CLAWDBOT_DEBUG=true moltbot gateway
Future Directions
Clawdbot is evolving towards:
- Multi-Agent Swarms: Agents collaborating to solve tasks.
- Voice Interfaces: Native speech-to-speech interaction.
- Vision Capabilities: Understanding screen content in real-time.
Summary
Congratulations! You have completed the Clawdbot Technical Deep Dive. You now have a comprehensive understanding of how this powerful AI agent platform works, from its architecture to its deployment.
Go forth and build your own skills, plugins, and agents!