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    NVlabs

    NVlabs/ASPIRE

    ASPIRE: Agentic /Skills Discovery for Robotics

    backend
    Python
    Apache-2.0
    925 stars
    82 forks
    925 GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

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

    The project lists 2 contributors on GitHub.

    Use Cases & Benefits

    • Implements continual learning for robotics by refining sensorimotor skills through agentic practice instead of traditional gradient descent.
    • Enables scalable, distributed skill acquisition with high success rates across diverse robotic tasks using language-model-driven coding agents.
    • Use for developing advanced robotic manipulation skills in simulation environments like LIBERO-Pro and Robosuite with iterative debugging and evolutionary search.
    • Use for transferring learned skills from simulation to real-world robots for complex tasks such as solving a Rubik's Cube or precise object handling.
    • Use for benchmarking and improving robotic task performance by scaling model capabilities and skill libraries across long-horizon and multi-step tasks.

    Should you depend on it?

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

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    ASPIRE is a new type of continual learning: "training" is skill refinement instead of gradient descent.

    "Trained model" is a repo of sensorimotor skills instead of floating weights.

    “Distributed training” is a panel of agents each practicing a different skill instead of sharded minibatches.

    Excerpt from the NVlabs/ASPIRE README on GitHub (Apache-2.0 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

    82+42

    Open issues

    17+3

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    View category →
    NVlabs/ASPIRE compared with Backend repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    anthropics/skills187.8K+2.9K15—
    DuarteSantos8/openGym19.7K+2.4K602 days ago
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    NationalSecurityAgency/ghidra98.2K+2.3K6414 days ago
    microsoft/VibeVoice56.0K+1.1K29—
    NVlabs/ASPIRE925—6—
    Category median56.0K+2.3K29—
    Compare ASPIRE with skills, openGym, Kronos →

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