Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
World's first Face Authentication enabled MacOS App-locker. Unlock your Mac apps using Face , TouchID or password. Completely local and encrypted - your data never leaves your Mac
Train and run transformers directly on Apple's Neural Engine in Swift bypass coreml entirely
Your models on any xPU
On-device meeting transcriber for macOS — auto-records Teams/Zoom/Webex, transcribes & separates speakers locally. No cloud. Open-source alternative to Otter/Granola/Fireflies.
PyTorch → CoreML conversion pipeline for Kokoro TTS. Unlocks fast on-device text-to-speech on Apple Neural Engine.
ModernBERT model optimized for Apple Neural Engine.
Apple Neural Engine (ANE) LLM inference engine — reverse-engineered private APIs, Metal GPU shaders, hybrid ANE+GPU+CPU on Apple Silicon. 32 tok/s matching llama.cpp, 3.6 TFLOPS fused ANE mega-kernels.
Push-to-talk voice dictation for macOS. 100% local, free, open source. Apple Silicon MLX. No cloud, no subscription.
Pythonic binding to the Apple Neural Engine
Push-to-talk dictation for macOS Apple Silicon. On-device speech recognition via Parakeet TDT v3 on the Apple Neural Engine (ANE) + CoreML. ~100 ms from key release to pasted text, 2.5 MB download, ~80 MB RAM. Native Swift, no cloud.
Apple FoundationModels API on iOS 18+. Same call site, native passthrough on iOS 26 (Apple Intelligence), CoreML / MLX backends on older OSes. Drop-in source compatible.
First super-resolution model designed for Apple Neural Engine. 2x upscale, real-time, on-device. Built by Ben Racicot.
A reverse-engineered reference for the Apple Neural Engine: architecture, programming, and performance
Run Apple Intelligence, CoreML, and MLX models using a unified Swift interface for local language model sessions on iOS and macOS.
Train transformers on Apple's Neural Engine. Autonomous hyperparameter search via Karpathy's autoresearch protocol. 43 experiments, 8 verified findings.
A toolkit for BLE digital stethoscopes — capture, DSP, log-mel spectrograms, and murmur classification on the Apple Neural Engine
Adds on-device Apple MLX inference to any app already using AIChatKit. Models are downloaded from Hugging Face Hub on first use and cached locally. Runs on Metal GPU and Apple Neural Engine — no network calls during inference.
First speculative decoding using Apple Neural Engine as draft + GPU as verifier on Apple Silicon. Custom minGRU encoder for heterogeneous compute.
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