MLX: An array framework for Apple silicon

Hundreds of models & providers. One command to find what runs on your hardware.

The open-source AI voice studio. Clone, dictate, create.

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

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.

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.

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

Run LLMs with MLX

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

Examples using MLX Swift

Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server, 65 tok/s Qwen 3.5 122B, Llama 3.3 70B, Gemma 4 31B. Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.

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

Swift API for MLX

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

On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.

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

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

LM Studio Apple MLX engine