MLX Swift Community Projects

[awni]

Let's collect some cool MLX Swift projects here for visibility! If you have a project you would like to feature, leave a comment, and we will add it. We have a similar post for projects in Python.

Text Generation

• ChatMLX: ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.
• mlx-swift-chat: A multi-platform SwiftUI frontend for running local LLMs with Apple's MLX framework.
• swift-mlx-server A Swift-based server application designed to provide an OpenAI-compatible text completion API.
• MLXTinyGPT: MLX Swift implementation of Andrej Karpathy's Let's build GPT video
• mlx-chat-app: Chat with MLX is a high-performance macOS application that connects your local documents to a personalized large language model (LLM).
• fullmoon-ios: Chat with private and local large language models.
• Pico AI Server for MLX LLM VLM: Lightning fast AI server for home and office. Built on MLX, powered by the latest R1 models.

Image Generation

• flux.swift: A Swift implementation of Flux.1 using MLX Swift.
• flux.swift.cli: A CLI tool for text to image generation using the FLUX.1 model.
• flux.1.app: An app for text to image generation using the FLUX.1 model.

Audio

• f5-tts-swift: Implementation of F5-TTS in Swift using MLX.
• kokoro-ios: Kokoro TTS for iOS and macOS

[allenv0]

👋 https://github.com/mainframecomputer/fullmoon-ios

[awni]

Cool!

[ronaldmannak]

👀 https://apps.apple.com/us/app/pico-ai-server-for-mlx-llm-vlm/id6738607769?mt=12

[petrukha-ivan]

I’ve created mlx-swift-structured, a Swift library for structured output generation using constrained decoding. It ensures your model produces exactly the output you need 🚀

[N1k1tung]

iOS/macOS app supporting distributed inference for Qwen3, Llama, GLM4, OSS, LFM2: https://github.com/N1k1tung/infer-ring

[petrukha-ivan]

I'm happy to share mlx-swift-vision, a Swift library for running computer vision models. It supports various tasks and even allows running SAM 3 model on an iPhone 🙂

[davidkoski]

@petrukha-ivan looks cool! This might be of interest:

• https://github.com/ml-explore/mlx-swift/blob/main/Tests/MLXTests/MLXArray%2BInitTests.swift#L271

You can feed it directly with an IOSurface, e.g. from a video stream/camera.

[petrukha-ivan]

Thank you! This looks like a great fit for my use case. I’ll definitely try it 👍

[bstnxbt]

https://github.com/0xbstn/mola 👋

[davidkoski]

I wonder if this should be at the mlx or mlx-lm repository? It looks like this is pure python.

[bstnxbt]

my bad