Topics / #apple-intelligence

Apple-intelligence projects on GitHub

On-device AI capabilities and SDKs for running local models on Apple hardware.

As of , the most-starred Apple-intelligence projects on GitHub are runanywhere-sdks (10.3K stars), apfel (6.5K stars) and RemoveMacAI (4.8K stars). GitHub.Locker tracks 5 Apple-intelligence repositories with 22.2K stars combined. The fastest-growing on October 16 was RemoveMacAI, with +67 stars in a day.

5Projects
22.2KStars in total
+79Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

5 projects · by stars

  1. #1 · RunanywhereAI/runanywhere-sdks

    runanywhere-sdks

    A toolkit of eight SDKs over one C++ core that runs AI fully on-device — LLM chat, vision, speech, voice agents, RAG, and image generation — on phones, browsers, and desktops. Everything is private by default and works offline.

    10.3K
  2. #2 · Arthur-Ficial/apfel

    apfel

    Apfel is a CLI tool and local OpenAI-compatible server that exposes the built-in FoundationModels LLM shipped on Apple Silicon Macs, letting you prompt it from the shell, pipe text through it, or point OpenAI SDK clients at it — entirely on-device.

    6.5K
  3. #3 · omlahore/RemoveMacAI

    RemoveMacAI

    RemoveMacAI is a macOS 27 tool that turns off Apple Intelligence features (Siri, Writing Tools, Genmoji, image generation, and more), deletes the AI models already downloaded for them, and blocks macOS from downloading those models again, with every change reversible.

    4.8K
  1. 4

    macspace-releases

    3861architect/macspace-releases · Swift

    MacSpace is a free, open-source macOS menu bar app that shows what fills your disk's System Data, frees what's safe to delete, and can turn off Apple Intelligence (deleting the on-device models) plus Apple's background analytics and data-collection features.

  2. 5

    Ketamine

    168Nouvborne/Ketamine · Swift

    Ketamine is an on-device MobileGestalt editor for iOS: it changes supported system values straight from your iPhone, with no PC involved.

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