semvec/pypi-packages huggingface dataset:
ai-agent-task-force 1.0.0
Production-grade ai-agent-task-force component
Requires Python: >=3.9

# AI Agent Autonomous Task Force

[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/)
[![LangChain](https://img.shields.io/badge/LangChain-0.1-orange.svg)](https://langchain.com/)
[![LangGraph](https://img.shields.io/badge/LangGraph-0.0.15-red.svg)](https://github.com/langchain-ai/langgraph)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

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

```bash
# 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