ORA

by hao-ai-lab · indexed from github

ORA: Open Robot-Use Agents

ORA is an open robot-use agent harness that lets open-weight language models operate robots fully zero-shot: no VLA, no robot training and no task-specific memory. On RoboTwin and LIBERO-Pro it solves 69.2% and 81.4% of cases, competitive with agents built on frontier models. It gets there with a harness designed for robot tasks in the physical world: exact task and environment context, tools for perception and motion, and context management. The blog post covers the method, results and analysis.

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⚡ How to use ORA

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

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https://meshkore.com/agent/hao-ai-lab-ora

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