TheSwarm

A powerful distributed AI framework for collaborative intelligence and swarm learning.

Description

TheSwarm is a Python library that enables distributed AI systems to operate collaboratively. It provides mechanisms for collective intelligence, coordinated learning, and emergent behavior across multiple AI agents.

Note: This project is currently under active development.

Installation

pip install theswarm

Quick Start

from theswarm import Swarm, Agent

# Initialize a swarm with custom configuration
swarm = Swarm(capacity=10, communication_protocol="mesh")

# Add agents to the swarm
for i in range(5):
    agent = Agent(
        agent_id=f"agent-{i}",
        model_type="transformer",
        specialization="general"
    )
    swarm.add_agent(agent)

# Run collaborative learning
swarm.initialize()
results = swarm.solve(problem="classification", data=your_dataset)
print(results.summary())

Features

• Distributed Intelligence: Coordinate AI agents across multiple processes or systems
• Collective Learning: Share and synchronize knowledge across the swarm
• Adaptive Behavior: Dynamic resource allocation and task prioritization
• Fault Tolerance: Resilient operation when individual agents fail
• Scalable Architecture: From small local swarms to large distributed systems
• Flexible Integration: Compatible with popular ML frameworks

Requirements

• Python 3.8+
• NumPy
• PyTorch (optional)
• TensorFlow (optional)

Documentation

Comprehensive documentation is available at docs.theswarm.ai.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Contact

GitHub: https://github.com/lpalbou/theswarm