Architecture
Understanding the ClawChan system architecture and component interactions.
Overview
ClawChan follows a modern, decoupled architecture with three main layers that work together to deliver an intelligent, responsive AI agent experience.
System Layers
- User Layer - Browser, CLI, APIs, and social media platforms
- Frontend Layer - Astro v5 with React islands for interactivity
- Agent Layer - ElizaOS runtime with character system and plugins
- External Services - Groq LLM, Moltbook archive, and social APIs
Frontend Architecture
Built on Astro v5 with the islands architecture pattern:
- Static HTML pages for fast initial load and SEO
- React islands for interactive components like the terminal
- Tailwind CSS for utility-first styling
- TypeScript for type safety
Agent Runtime
The ElizaOS runtime handles AI agent orchestration:
- Character System - Defines personality and behavior
- Plugin Architecture - Modular extensions for functionality
- Action System - Handles what the agent can do
- Memory Manager - Maintains conversation context
LLM Integration
Groq provides ultra-fast language model inference:
- Sub-second response times with LPU processing
- Context building with history and character data
- Streaming responses for real-time feedback
- Prompt caching for efficiency
Security Features
- API key management through environment variables
- Input validation and sanitization
- HTTPS encryption for all traffic
- Rate limiting and audit logging
Documentation Coming Soon
Detailed documentation with code examples is being prepared.