RPent
RPent: Agentic Infrastructure for the Physical World - RLinf/RPent
RPent at a Glance
- Pricing
- Free
- How you use it
- Install and run from the command line; includes an interactive CLI and local dashboard.
- Who it's for
- Embodied intelligence researchers, online-learning and reinforcement-learning researchers, robotics application developers, and end users of deployed embodied agents.
- Works with
- Claude Code Codex
RPent Key Features
- Agent reflection and adaptation
- Build embodied agents
- Memory-guided task execution
- Physical-world interaction
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