https://github.com/the-swarm-corporation/swarmos
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.
https://github.com/the-swarm-corporation/swarmos
agents ai linux multi-agent operating-system os
Last synced: 10 days ago
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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.
- Host: GitHub
- URL: https://github.com/the-swarm-corporation/swarmos
- Owner: The-Swarm-Corporation
- License: agpl-3.0
- Created: 2024-12-06T05:14:36.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-06T05:32:42.000Z (5 months ago)
- Last Synced: 2025-03-28T19:37:47.073Z (27 days ago)
- Topics: agents, ai, linux, multi-agent, operating-system, os
- Language: Shell
- Homepage: https://swarms.xyz/
- Size: 3.09 MB
- Stars: 10
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SwarmOS
Making Computers Intelligent and Proactive
[](https://opensource.org/licenses/MIT)
[](https://github.com/swarms-ai/swarmos)
[](https://github.com/swarms-ai/swarmos/wiki/Docker)
[](https://swarms.ai/docs)
## Vision
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.
## Key Features
### 🧠 Intelligent Thread Management
- 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
### 🔮 Predictive Computing
- Anticipates user needs based on behavioral patterns
- Preemptively optimizes system resources
- Learns from historical usage to improve performance
- Adapts to changing workloads automatically
### 🛡️ Proactive Security
- Continuous threat monitoring and prevention
- Self-evolving security protocols
- Behavioral analysis for anomaly detection
- Autonomous system hardening
### 🌐 Swarm Intelligence
- Distributed decision-making across system components
- Collaborative problem-solving between AI agents
- Emergent optimization through agent cooperation
- Resilient system architecture
## Getting Started
### Prerequisites
- macOS, Linux, or Windows with WSL2
- Docker installed
- 4GB RAM minimum (8GB recommended)
- 20GB free disk space
### Quick Start
```bash
# 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](https://swarms.ai/docs/installation).
## Architecture
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
## Contributing
We welcome contributions from the community! Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated. See our [Contributing Guide](CONTRIBUTING.md) for more details.
### Development Setup
1. Fork the repository
2. Create a feature branch
3. Submit a pull request
Please read our [Code of Conduct](CODE_OF_CONDUCT.md) before contributing.
## Documentation
Comprehensive documentation is available at [swarms.ai/docs](https://swarms.ai/docs), including:
- Detailed architecture overview
- API references
- Development guides
- Deployment strategies
- Best practices
## Community
- Website: [swarms.ai](https://swarms.ai)
- Discord: [Join our community](https://discord.gg/swarmos)
- Twitter: [@SwarmOS](https://twitter.com/swarmos)
- Blog: [swarms.ai/blog](https://swarms.ai/blog)
## Research
SwarmOS is based on cutting-edge research in distributed artificial intelligence and system optimization. For technical details and research papers, visit our [Research Page](https://swarms.ai/research).
## License
SwarmOS is released under the MIT License. See the [LICENSE](LICENSE) file for details.
## Acknowledgments
Special thanks to:
- The Alpine Linux team for providing a solid foundation
- Our open-source contributors
- The research community advancing AI and system optimization
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Built with ❤️ by the SwarmOS team
swarms.ai