Making Computers Intelligent and Proactive

SwarmOS reimagines the fundamental relationship between computers and users. Instead of waiting for commands, SwarmOS creates an intelligent, proactive computing environment that anticipates needs, optimizes performance, and adapts to changing conditions autonomously.

Traditional operating systems are reactive - they wait for user input or system events before taking action. SwarmOS breaks this paradigm by implementing distributed artificial intelligence that constantly learns, predicts, and optimizes system behavior. Our mission is to create computers that work alongside you, not just for you.

• Autonomous process optimization using distributed AI agents
• Real-time learning and adaptation of system behavior
• Proactive resource allocation based on usage patterns
• Self-healing capabilities for system stability

• Anticipates user needs based on behavioral patterns
• Preemptively optimizes system resources
• Learns from historical usage to improve performance
• Adapts to changing workloads automatically

• Continuous threat monitoring and prevention
• Self-evolving security protocols
• Behavioral analysis for anomaly detection
• Autonomous system hardening

• Distributed decision-making across system components
• Collaborative problem-solving between AI agents
• Emergent optimization through agent cooperation
• Resilient system architecture

• macOS, Linux, or Windows with WSL2
• Docker installed
• 4GB RAM minimum (8GB recommended)
• 20GB free disk space

# Clone the repository
git clone https://github.com/swarms-ai/swarmos.git
cd swarmos

# Set up development environment
chmod +x setup.sh
./setup.sh

# Build SwarmOS
cd custom-alpine-build
./build-helper.sh build

# Test in QEMU
./test-swarm-os.sh

For detailed installation instructions, please visit our Installation Guide.

SwarmOS is built on a foundation of distributed AI agents that work together to create an intelligent computing environment:

• Core Agent Network: Manages system resources and optimization
• Learning Subsystem: Adapts to user behavior and system patterns
• Security Mesh: Provides proactive threat detection and response
• Resource Optimizer: Ensures optimal system performance
• Predictive Engine: Anticipates system and user needs

We welcome contributions from the community! Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated. See our Contributing Guide for more details.

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

Please read our Code of Conduct before contributing.

Comprehensive documentation is available at swarms.ai/docs, including:

• Detailed architecture overview
• API references
• Development guides
• Deployment strategies
• Best practices

• Website: swarms.ai
• Discord: Join our community
• Twitter: @SwarmOS
• Blog: swarms.ai/blog

SwarmOS is based on cutting-edge research in distributed artificial intelligence and system optimization. For technical details and research papers, visit our Research Page.

SwarmOS is released under the MIT License. See the LICENSE file for details.

Special thanks to:

• The Alpine Linux team for providing a solid foundation
• Our open-source contributors
• The research community advancing AI and system optimization

Built with ❤️ by the SwarmOS team
swarms.ai