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CommunityCookbooks & Demos181 starsVerified 2026-09-22

EmbodiedJev

A MuJoCo and Franka Panda workbench where Jev chooses the next manipulation step for pick-and-place, stacking, and obstacle-carry tasks, with rule baselines and side-by-side model comparison.

Category
Cookbooks & Demos
Published by
Community
Author
FBddcz
Added
2026-09-22
Tagscommunitypythonroboticsdemoplayground

Highlights

  • Three simulated tasks run on MuJoCo with a Franka Panda, and the built-in rule baseline needs no API key, GPU, or model weights.
  • Jev receives structured text plus RGB-D detector coordinates rather than screenshots, and picks phases, skills, or short XYZ and gripper steps.
  • Model comparison runs two or three configurations on the same task, seed, and action budget and aligns replays by simulation time.
  • Candidate actions are rehearsed in a simulation copy that intercepts configured collisions and grasp loss before execution.
  • Connections cover TypeSafe Jev, Claude, any OpenAI-compatible API, and a local MiniCPM5-2B, with keys kept in the system keychain.

Quickstart

bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -e .
npm ci && npm run build
embodied-jev serve --port 8090

Watch out

MIT for the original code, with Franka Panda assets under Apache-2.0. Needs Python 3.11+ and Node.js 22.12+, plus a TypeSafe key for Jev; model weights are not bundled and the project is independent of TypeSafe.

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hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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