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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 edge devices, most are only partially open or integrate poorly with native applications. We found this frustrating, so instead of waiting for others to solve the 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

Read our blogs here

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  1. FluidAudio FluidAudio Public

    Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

    Swift 775 99

  2. mobius mobius Public

    Your models on any xPU

    Python 19 4

  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 270 29

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