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robouse

robo-use: agent as a policy for embodied agents. robo-use turns robot benchmarks into tasks that an agent harness, such as Claude Code or Codex, solves by driving a simulated robot from its shell, one robo command at a time. A trusted episode server runs the simulator, enforces the step budget, records a video and scores the final physical state.

pip install 'robouse[sim]'
robouse run --task arc-gravity --harness claude-code --model claude-sonnet-5 --out runs/quickstart

Python 3.11 to 3.13. Other extras add more simulators: metaworld, gymrobotics, robosuite, dexjoco, all.

Docs: robouse.ai/docs. Results and videos: robouse.ai/runs.

Working on robo-use

Install a checkout in editable mode; it then uses the checkout's tasks/ and assets/:

git clone https://github.com/benchflow-ai/robouse.git && cd robouse
uv venv --python 3.12 .venv
uv pip install --python .venv/bin/python -e ".[metaworld,gymrobotics]"

The public docs are built from docs/ by scripts/build_docs.py; the pages it publishes are listed in its PAGES. docs/dogfood.md records the commands run to check them. The other files in docs/ are internal notes.

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Release files for robouse 0.1.1

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