by ros-claw · Codex Skill · ★ 138
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ROSClaw The Open Infrastructure for Physical Intelligence Grounding AI Agents into the Physical World. English • 中文 • Architecture • Quick Start • Docs Teach Once. Embody Anywhere. Evolve Continuously. What is ROSClaw? ROSClaw is not another chatbot framework. It is not a thin LLM-to-ROS wrapper. It is not a collection of random robotics tools. ROSClaw is an open infrastructure layer for Physical Intelligence: a runtime that connects AI agents, robot embodiments, simulation sandboxes, skill systems, multimodal providers, physical memory, and self-evolution loops into one coherent operating layer. It is designed for the next generation of embodied agents that must not only reason, but also act safely, remember physically, recover
| Stars | 138 |
| Forks | 25 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 53.83/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-21 |
| Created | 2026-03-16 |
| Platforms | python |
| Est. Tokens | ~19k |
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rosclaw is The open infrastructure for Physical Intelligence. ROSClaw grounds AI agents into the physical world through e-URDF, sandbox safety, capability providers, praxis capture, memory, runtime intervention,. It is categorized as a Codex Skill with 138 GitHub stars.
rosclaw is primarily written in Python. It covers topics such as agent, agent-runtime, automation.
You can find installation instructions and usage details in the rosclaw GitHub repository at github.com/ros-claw/rosclaw. The project has 138 stars and 25 forks, indicating an active community.
rosclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rosclaw on Agent Skills Hub include rai, Awesome-LLM-Papers-Comprehensive-Topics, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.