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.