CHT-Agent Repository

System Architecture Overview

CLI Interface
    ↓
Master Supervisor (Orchestrator)
├── Research Supervisor
│   ├── Documentation Search Agent
│   └── Context Analysis Agent
│   
├── [HUMAN VALIDATION CHECKPOINT #1]
│   • Validate research findings
│   • Approve orchestration plan
│   
├── Development Supervisor
│   ├── Code Generation Agent
│   └── Test Environment Agent
│   
├── QA Supervisor
│   ├── Code Validation Agent
│   └── Test Orchestration Agent
│   
└── [HUMAN VALIDATION CHECKPOINT #2]
    • Review generated code
    • Verify test results
    • Approve for completion

Core Design Principles

1. Run with any model: Easily changeable to any model
2. Tool Orchestration Over Reinvention: Agents act as intelligent coordinators of existing CHT tools (cht-conf, cht-toolbox, cht-datasource, cht-docs, npm scripts) rather than implementing custom validation
3. Context-Based Learning: Lightweight file-based memory system that mirrors CHT repository structure
4. Incremental Value Delivery: Each agent provides immediate value while building knowledge over time
5. Developer-Friendly Integration: Seamless integration with existing npm scripts and development workflows

For WIP, you can find more design details here