jev-libero

What it is

Close the microwave Close the top drawer 14 decisions · 111 environment steps MP4 · Full record 20 decisions · 155 environment steps MP4 · Full record Grasp and lower alphabet soup into the basket 40 decisions · 314 environment steps MP4 · Full record

The homepage listed on the repository, dimweaker.github.io, puts it like this: Watch Jev control a robot, one decision at a time. An interactive LIBERO replay with synchronized video, choice probabilities, and physical trajectories.

What the README says it does

• Fine-grained control. 27 inputs covering Cartesian translations, wrist rotations, gripper open/close, and hold.
• Layered decisions. Jev selects an intent, a contact/motion family, and an input, with each choice informing the next.
• Local physics previews. Reversible simulator branches evaluate candidate effects before execution.
• Configurable tasks. Select measurements, exported features, contact rules, goals, and per-layer Jev inputs in JSON through one shared interface.
• Inspectable runs. Save model requests, predictions, controls, simulator states, costs, and trajectory media together.

From the project’s README.

Getting started

From the README:

git clone https://github.com/Dimweaker/jev-libero.git
cd jev-libero
pip install -e .
jev-libero tasks

Where the decision sits

jev-libero calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-09-19, last pushed 2026-09-21, 88 stars and 2 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.