by hertz-ai · MCP Server · ★ 52
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An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is OpenAI-compatible. Boots, has its own Wayland compositor, and runs on 8GB. Apache 2.0.
| Stars | 52 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 53.5439536027865/100 |
| Open Issues | 24 |
| Last Updated | 2026-08-19 |
| Created | 2023-06-19 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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HARTOS is An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is OpenAI-compatible. Boots, has its own Wayland compositor, and runs on 8GB. Apache 2.0.. It is categorized as a MCP Server with 52 GitHub stars.
HARTOS is primarily written in Python. It covers topics such as agent-framework, agentic-ai, ai-agent.
You can find installation instructions and usage details in the HARTOS GitHub repository at github.com/hertz-ai/HARTOS. The project has 52 stars and 5 forks, indicating an active community.
HARTOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to HARTOS on Agent Skills Hub include captain-claw, chibi, OmoiOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.