Topics / #vision-language-action

Vision-language-action projects on GitHub

Models mapping vision and language inputs directly to robot actions

As of , the most-starred Vision-language-action projects on GitHub are lerobot (28.3K stars), openpi (14.3K stars) and WholebodyVLA (580 stars). GitHub.Locker tracks 5 Vision-language-action repositories with 43.6K stars combined. The fastest-growing on October 17 was lerobot, with +28 stars in a day.

5Projects
43.6KStars in total
+40Stars in a day
Browse in the catalog →github.com/topics/vision-language-action ↗

Hot right now

Most stars gained in a day · Oct 17

+28

lerobot

huggingface/lerobot · ★ 28.3K

LeRobot is Hugging Face's open-source project providing models, datasets, and tools for real-world robotics in PyTorch, aiming to lower the barrier to entry for building and deploying robot learning policies.

+11

openpi

Physical-Intelligence/openpi · ★ 14.3K

openpi is a collection of open-source vision-language-action (VLA) models for robotics from the Physical Intelligence team, including pi0, pi0-FAST, and pi0.5, with pretrained checkpoints and code for fine-tuning and running them.

+1

EasyWAM

OpenMOSS/EasyWAM · ★ 402

EasyWAM is a unified research codebase for training, fine-tuning, and evaluating World Action Models (WAMs) — models that jointly predict future video and robot actions for embodied-AI and robotics research.

The all-time top

5 projects · by stars

  1. #1 · huggingface/lerobot

    lerobot

    LeRobot is Hugging Face's open-source project providing models, datasets, and tools for real-world robotics in PyTorch, aiming to lower the barrier to entry for building and deploying robot learning policies.

    28.3K
  2. #2 · Physical-Intelligence/openpi

    openpi

    openpi is a collection of open-source vision-language-action (VLA) models for robotics from the Physical Intelligence team, including pi0, pi0-FAST, and pi0.5, with pretrained checkpoints and code for fine-tuning and running them.

    14.3K
  3. #3 · OpenDriveLab/WholebodyVLA

    WholebodyVLA

    WholeBodyVLA is an ICLR 2026 research project introducing a unified Vision-Language-Action framework for closed-loop humanoid whole-body loco-manipulation control, and this repository doubles as a curated, continuously updated list of VLA papers for humanoid robots.

    580
  1. 4

    EasyWAM

    402OpenMOSS/EasyWAM · Python

    EasyWAM is a unified research codebase for training, fine-tuning, and evaluating World Action Models (WAMs) — models that jointly predict future video and robot actions for embodied-AI and robotics research.

  2. 5

    dreamforge

    130rzc156/dreamforge · Python

    Dreamforge is a research pipeline that mines a robot policy's own failure states, uses a latent world model (CEM) to imagine corrective actions, and verifies each correction by replaying it in the real simulator before claiming it helps.

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