It's an open-source Python project for evaluating and replaying robotics and world-model workflows.
The useful part is not only calling a model. WorldForge records the run, validates action shapes, translates outputs into actions, and keeps replay artifacts you can inspect later.
The current demo uses LeRobot + LeWorldModel on PushT through the official loader:
The harness also has replay-only paths for Cosmos-Policy and GR00T-style outputs, so you can inspect the provider contract from saved artifacts without keeping a GPU server online.
Try it:
pip install worldforge-ai uv run --extra harness worldforge-harness --flow robotics-compare
🌏Models and datasets around the world - Tess-70B, a MiQu-70B fine-tune with high-quality data migtissera/Tess-70B-v1.6 - UNI, a model trained on 100 million pathology images from 100k+ slides MahmoodLab/UNI - CONCH, a VLM trained on 1.17 million pathology image-text pairs MahmoodLab/CONCH
5. SpeechBrain 1.0: a toolkit with hundreds of recipes and pretrained models for audio-related tasks, such as speech recognition, diarization, and enhancement. New major release! HF repos: