by ros-claw · Codex Skill · ★ 179
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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 | 179 |
| Forks | 32 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.1985392652909/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-09 |
| Created | 2026-03-16 |
| Platforms | python |
| Est. Tokens | ~19k |
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rosclaw is Self-evolving runtime infrastructure for Physical AI and embodied agents. Ground AI agents into robot bodies with e-URDF, sandbox safety, capability routing, praxis capture, physical memory, runtime i. It is categorized as a Codex Skill with 179 GitHub stars.
rosclaw is primarily written in Python. It covers topics such as agent, agent-runtime, agent-runtimes.
You can find installation instructions and usage details in the rosclaw GitHub repository at github.com/ros-claw/rosclaw. The project has 179 stars and 32 forks, indicating an active community.
rosclaw is released under the MIT license, making it free to use and modify according to the license terms.
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