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Hi there 👋

We're a team that set out to build a local-first consumer AI apps, but after thousands of users and 6 months, we realized the hardware and software aren't there yet. Running near-realtime workloads on consumer CPUs and GPUs can be too slow and drains battery life for most consumer hardware.

While some solutions exist for running local AI models on AI accelerators, most are closed source or only partially open, which we found frustrating. Rather than wait for others to solve this problem, we decided to tackle it ourselves and share our models and SDKs with everyone.

Join our Discord or checkout our models on Huggingface:

Discord Models

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  1. FluidAudio FluidAudio Public

    Native Swift and CoreML SDK for local speaker diarization, VAD, and speech-to-text for real-time workloads. Works on iOS and macOS.

    Swift 637 78

  2. fluid-server fluid-server Public

    Local AI server for your Windows apps.

    Python 3

  3. swift-scribe swift-scribe Public

    Fully local, no dependency scribe. Speak into your microphone and summarize. Requires iOS 26 and MacOS 26 to use the advanced transcription model and foundational model for summaries

    Swift 248 25

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