MLX: An array framework for Apple silicon

The open-source voice synthesis studio powered by Qwen3-TTS.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Examples in the MLX framework

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.

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

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.

Run LLMs with MLX

Examples using MLX Swift

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

MLX native implementations of state-of-the-art generative image models

A native macOS AI chat app powered by MLX. 100% local inference on Apple Silicon, no cloud required. Built with ShipSwift.

Swift API for MLX

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

AirPods as AI posture coach on iOS (launching 2026)

LM Studio Apple MLX engine

🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.

Optimized Whisper models for streaming and on-device use

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, and Vision fine-tuning — natively on MLX. Unsloth-compatible API.