Agent
AgentOS
About this agent
AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.
AgentOS
A minimal, production-ready implementation of Andrej Karpathy's Agent Operating System architecture, developed by Swarms.ai and partners.
Overview
AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.
Features
- Unified Model Interface: Seamless integration with multiple LLM providers through LiteLLM
- Browser Automation: Built-in browser agent capabilities for web interaction
- Multi-Modal Support: Handles text, video, and audio inputs
- Resource Management: Efficient handling of computational resources and model selection
- HuggingFace Integration: Direct access to open-source models
- Extensible Architecture: Easy to add new capabilities and tools
Core Components
- Model Management: Dynamic selection and utilization of language models
- Browser Automation: Autonomous web-based task execution
- Resource Orchestration: Efficient management of computational resources
- Context Management: Maintains system state and task dependencies
Installation
BASHpip install -r requirements.txt
Usage
PYTHONfrom agentos import AgentOS # Initialize AgentOS agent_os = AgentOS() # Run a task result = agent_os.run( task="Your task description", img="optional_image.jpg", video="optional_video.mp4", audio="optional_audio.mp3" )
Supported Models
Anthropic Claude Models
- claude-opus-4-20250514
- claude-sonnet-4-20250514
- claude-3-sonnet-20240229
- claude-3-haiku-20240307
- And more...
OpenAI GPT Models
- gpt-4-1106-preview
- gpt-4-vision-preview
- gpt-3.5-turbo
- And more...
License
[License details]
About
Developed by Swarms.ai and partners, AgentOS represents a production-ready implementation of autonomous AI agents, following the architectural principles outlined by Andrej Karpathy.
Contributing
We welcome contributions from the community. Please see our contributing guidelines for more information.
Requirements
Package | Installation |
---|---|
requests | pip3 install requests |
Agent Code
The main implementation code for this agent. You can view, copy, and use this code directly in your projects.
Agent Metadata (JSON)
All metadata and code for this agent, as a JSON object. Useful for programmatic use, export, or debugging.
{ "id": "40aeabbf-f0d1-4ca2-afc9-08acdf8d47b3", "name": "AgentOS", "title": "Agent", "description": "AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.\n\n# AgentOS\n\nA minimal, production-ready implementation of Andrej Karpathy's Agent Operating System architecture, developed by Swarms.ai and partners.\n\n\n\n## Overview\n\nAgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.\n\n## Features\n\n- **Unified Model Interface**: Seamless integration with multiple LLM providers through LiteLLM\n- **Browser Automation**: Built-in browser agent capabilities for web interaction\n- **Multi-Modal Support**: Handles text, video, and audio inputs\n- **Resource Management**: Efficient handling of computational resources and model selection\n- **HuggingFace Integration**: Direct access to open-source models\n- **Extensible Architecture**: Easy to add new capabilities and tools\n\n## Core Components\n\n- **Model Management**: Dynamic selection and utilization of language models\n- **Browser Automation**: Autonomous web-based task execution\n- **Resource Orchestration**: Efficient management of computational resources\n- **Context Management**: Maintains system state and task dependencies\n\n## Installation\n\n```bash\npip install -r requirements.txt\n```\n\n## Usage\n\n```python\nfrom agentos import AgentOS\n\n# Initialize AgentOS\nagent_os = AgentOS()\n\n# Run a task\nresult = agent_os.run(\n task=\"Your task description\",\n img=\"optional_image.jpg\",\n video=\"optional_video.mp4\",\n audio=\"optional_audio.mp3\"\n)\n```\n\n## Supported Models\n\n### Anthropic Claude Models\n- claude-opus-4-20250514\n- claude-sonnet-4-20250514\n- claude-3-sonnet-20240229\n- claude-3-haiku-20240307\n- And more...\n\n### OpenAI GPT Models\n- gpt-4-1106-preview\n- gpt-4-vision-preview\n- gpt-3.5-turbo\n- And more...\n\n## License\n\n[License details]\n\n## About\n\nDeveloped by [Swarms.ai](https://swarms.ai) and partners, AgentOS represents a production-ready implementation of autonomous AI agents, following the architectural principles outlined by Andrej Karpathy.\n\n## Contributing\n\nWe welcome contributions from the community. Please see our contributing guidelines for more information. \n\nSource: https://github.com/The-Swarm-Corporation/AgentOS", "tags": [ "agentos", "agents", "ai", "ml", "multi-agent", "operating-system", "swarms" ], "requirements": [ { "package": "requests", "installation": "pip3 install requests" } ], "usecases": [ { "title": "", "description": "" } ], "userId": "6a5ca266-caff-46a5-8e29-fba2085e4e5f", "createdAt": "2025-07-09T16:46:47.129726+00:00", "links": [], "code": "from agentos.main import AgentOS\n\nagent = AgentOS()\n\nprint(agent.run(\"Call claude 3.5 sonnet and tell me the weather in Tokyo\"))" }
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