rai
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. - RobotecAI/rai
rai at a Glance
- Pricing
- Free
- How you use it
- Framework for developing and deploying embodied AI features for robots
- Who it's for
- Robot developers
- Works with
- ROS 2 NoMaD
rai Key Features
- human-robot interaction
- multi-agent systems
- multimodal interaction
- robot perception
- speech-to-text
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rai Alternatives
RPent
RPent: Agentic Infrastructure for the Physical World - RLinf/RPent
EMERGE-Policy
EMERGE-Policy: A Robot Mind Emerges Beyond a Single Policy - EMERGE-Policy/EMERGE-Policy
Spotter
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It - zqc3117/Spotter
Agent Development Kit (ADK)
A flexible and modular framework for developing and deploying AI agents.
better-agent
A TypeScript framework for building typed, event-driven, framework-agnostic agent apps.
gh-aw
GitHub Agentic Workflows. Contribute to github/gh-aw development by creating an account on GitHub.