RPent
RPent is an open framework for building physical robot agents that learn from interaction with the real world for robotics developers and researchers.
What it is good for
- Controlling robot arms to complete long manipulation tasks
- Testing robot agents in simulated benchmarks
- Connecting a planning agent to a vision-language-action robot model
- Deploying robot agents on real Franka robot hardware
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- Claude Code, Codex, LIBERO-PRO, RoboCasa, RoboTwin, Franka
Momentum
- Rank this week
- Not ranked (last #50, week 43, 2026)
- Best rank
- #22 week 40, 2026
- GitHub stars
- 1,681
GitHub numbers as of Nov 2, 2026. Updated weekly.
Ranking history
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is RPent free?
- Yes. It is free and open source (Apache-2.0 license).
- Do I need to know how to code to use RPent?
- Yes. You need to write code to use it.
- What does RPent work with?
- According to its own documentation, it works with Claude Code, Codex, LIBERO-PRO, RoboCasa, RoboTwin, and Franka.
- What is RPent good for?
- Controlling robot arms to complete long manipulation tasks, testing robot agents in simulated benchmarks, connecting a planning agent to a vision-language-action robot model, and deploying robot agents on real Franka robot hardware.
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