AI Agent Autonomous Task Force

A production-grade multi-agent autonomous framework built with LangGraph. Designed for complex task decomposition, multi-agent coordination, and stateful execution.

🚀 Features

• Multi-Agent Coordination: Supervisor-led delegation to specialized agents.
• Stateful Execution: Persistent state management using LangGraph checkpoints.
• Tool Integration: Extensible tool system (search, shell, file ops).
• Human-in-the-loop: Support for breakpoints and user interventions.
• High Observability: Integrated logging and tracing.
• Async First: Fully asynchronous agent communication.

📁 Project Structure

ai-agent-autonomous-task-force/
├── src/
│   ├── agents/          # Agent definitions (Researcher, Writer, etc.)
│   ├── graphs/          # LangGraph state machine definitions
│   ├── tools/           # Custom tool implementations
│   ├── core/            # Config, State schemas
│   └── main.py          # API and CLI entrypoints
├── tests/               # Unit and integration tests
├── Dockerfile
├── docker-compose.yml
└── requirements.txt

🛠️ Quick Start

# Clone
git clone https://github.com/Shivay00001/ai-agent-autonomous-task-force.git

# Set environment
export OPENAI_API_KEY=your_key_here

# Run with Docker
docker-compose up --build

📄 License

MIT License