by RobotecAI · Agent Tool · ★ 490
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RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
| Stars | 490 |
| Forks | 66 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 35.3/100 |
| Open Issues | 60 |
| Last Updated | 2026-04-13 |
| Created | 2024-06-04 |
| Platforms | python |
| Est. Tokens | ~3610k |
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rai is RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and. It is categorized as a Agent Tool with 490 GitHub stars.
rai is primarily written in Python. It covers topics such as ai, ai-agents-framework, embodied-agent.
You can find installation instructions and usage details in the rai GitHub repository at github.com/RobotecAI/rai. The project has 490 stars and 66 forks, indicating an active community.
rai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to rai on Agent Skills Hub include awesome-llm-powered-agent, zypher-agent, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.