NVIDIA

    NVIDIA/cosmos

    #558 this week

    NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

    NOASSERTION
    12.1K stars
    924 forks
    12.1K GitHub watchers
    Updated Oct 21, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #558 of 2,794 repositories GStars tracks this week (top 20%).

    No releases in the last 90 days; the most recent was 142 days ago, with 49 contributors on GitHub.

    Use Cases & Benefits

    • Enables building Physical AI by providing an open platform of world models, datasets, and tools for multimodal understanding and generation.
    • Unifies language, vision, audio, video, and action modalities in a single Mixture-of-Transformers architecture for seamless multimodal reasoning and generation.
    • Use for developing autonomous vehicle perception and decision-making systems with integrated world understanding and action prediction.
    • Use for generating synthetic training data including images, videos, and sound to train and simulate robotic manipulation tasks.
    • Use for creating embodied agent reasoning and task planning applications that require physical plausibility and next-action forecasting.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

    Cosmos 3 is our newest model family [Models] [Report] [Website]. It is a suite of omnimodal world models designed to jointly process and generate language, images, video, audio, and action sequences within a unified Mixture-of-Transformers architecture. By supporting highly flexible input-output configurations, it seamlessly unifies critical modalities for Physical AI — effectively subsuming vision-language models, video generators, world simulators, and world-action models into a single framework.

    Excerpt from the NVIDIA/cosmos README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    924+135

    Open issues

    68+38

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