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, completely free and open-source. 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
On-device meeting transcriber for macOS — auto-records Teams/Zoom/Webex, transcribes & separates speakers locally. No cloud. Open-source alternative to Otter/Granola/Fireflies.
Your models on any xPU
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.
Pythonic binding to the 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.
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.
A reverse-engineered reference for the Apple Neural Engine: architecture, programming, and performance
First super-resolution model designed for Apple Neural Engine. 2x upscale, real-time, on-device. Built by Ben Racicot.
A toolkit for BLE digital stethoscopes — capture, DSP, log-mel spectrograms, and murmur classification on the Apple Neural Engine
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.
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.
LFM2.5-VL-450M running entirely on the Apple Neural Engine — captioning + visual grounding, native macOS app + REST, ~1-2W on-device VLM
Safe Rust bindings and C library for the Apple Neural Engine
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