by RobotecAI · Agent Tool · ★ 529
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RAI RAI is a flexible AI agent framework to develop and deploy Embodied AI features for your robots. 📚 Visit robotecai.github.io/rai for the latest documentation, setup guide and tutorials. 📚 🎯 Overview Features
| Stars | 529 |
| Forks | 71 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 42.922/100 |
| Open Issues | 64 |
| Last Updated | 2026-06-19 |
| Created | 2024-06-04 |
| Platforms | python |
| Est. Tokens | ~14k |
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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 529 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 529 stars and 71 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 rosclaw, awesome-llm-powered-agent, zypher-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.