moonshine-ai

    moonshine-ai/moonshine

    Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

    11.4K stars
    658 forks
    65 GitHub watchers
    Updated Nov 8, 2026
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    Where it stands

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

    4 releases in the last 90 days, the latest 2 days ago, with 16 contributors on GitHub.

    Peaked at #91 in the weekly ranking the week of Mar 1, its best in the past year.

    Use Cases & Benefits

    • Provides a low latency, on-device speech-to-text, intent recognition, and text-to-speech framework for building real-time voice interfaces and agents.
    • Delivers faster response times and higher accuracy than Whisper by using flexible input windows, streaming caching, and language-specific models optimized for live speech.
    • Use for developing responsive voice-controlled applications on edge devices like smartphones, IoT, and wearables without relying on cloud services.
    • Use for building multilingual voice assistants supporting languages such as English, Spanish, Mandarin, Japanese, Korean, and Arabic with improved accuracy.
    • Use for integrating voice transcription and command recognition across multiple platforms including Python, iOS, Android, Windows, MacOS, Linux, and Raspberry Pi.

    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

    Moonshine Voice is an open source AI toolkit for developers building real-time voice applications.

    Listens to the microphone and prints updates to the transcript as they come in.

    Listens for user-defined action phrases, like "Turn on the lights", using semantic matching so natural language variations are recognized. For more, check out our "Getting Started" Colab notebook and video.

    Excerpt from the moonshine-ai/moonshine 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

    658+71

    Open issues

    27+15

    Compared with peers in Developer Tools

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    moonshine-ai/moonshine11.4K—362 days ago
    Category median121.4K+4.3K75—

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