rosclaw

About rosclaw

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.

agent agent-runtime agent-runtimes automation autonomous-robotics digital-twin embodied-ai llm openclaw physical-ai

Quick Facts

Stars	225
Forks	31
Language	Python
Category	Codex Skill
License	MIT
Quality Score	67.6325629291186/100
Open Issues	71
Last Updated	2026-10-18
Created	2026-03-16
Platforms	python
Est. Tokens	~19k

Compatible Skills

These tools work well together with rosclaw for enhanced workflows:

rai — semantic(0.58)+complementary+rare_topics+same_lang+similar_pop+shared_platform (80%)
bagel — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
isaac_mission_dispatch — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
robotics-agent-skills — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
nav2_mcp_server — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)

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Frequently Asked Questions

What is rosclaw?

rosclaw is Physical AI runtime for embodied agents — governed action, verified experience, physical memory, and skill evolution.. It is categorized as a Codex Skill with 225 GitHub stars.

What programming language is rosclaw written in?

rosclaw is primarily written in Python. It covers topics such as agent, agent-runtime, agent-runtimes.

How do I install or use rosclaw?

You can find installation instructions and usage details in the rosclaw GitHub repository at github.com/ros-claw/rosclaw. The project has 225 stars and 31 forks, indicating an active community.

What license does rosclaw use?

rosclaw is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools