meta-pytorch/executorch-examples

A minimal on-device voice agent loop

Pure-MLX speech synthesis, voice cloning, dialogue, sound-effects, and ASR for Apple Silicon: Fish S2 Pro, VibeVoice, LongCat, MOSS, Step-Audio, Cohere ASR.

MLX implementation of OminiX for LLM, image generataion, ASR and TTS

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

High-performance MLX-based LLM inference engine for macOS with native Swift implementation

PyTorch → CoreML conversion pipeline for Kokoro TTS. Unlocks fast on-device text-to-speech on Apple Neural Engine.

TheStage AI inference SDK for iOS and MacOS

works well with rocks; native Apple Silicon inference engine for capable and tiny models (ternary, Qwen) via MLX Swift. Hadamard-rotated KV cache, vision, tool calling, OpenAI + Anthropic APIs

Tiny llms optimised for edge deployment