LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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Updated
Nov 5, 2026 - Python
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
macOS menu bar app that tells you, in plain English, what each USB-C cable plugged into your Mac can actually do
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.
Run Stable Diffusion on Mac natively
macOS and Linux VMs on Apple Silicon to use in CI and other automations
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Play your own Tears of the Kingdom and Breath of the Wild natively on Apple silicon Mac, iPhone and iPad. Not an emulator: the game's ARM64 code runs directly, NVN rebuilt on Metal. Bring your own game.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Slap your MacBook, it yells back. Uses Apple Silicon accelerometer via IOKit HID.
Play your own Switch games on iPhone/iPad — one-click macOS app, no terminal. | 把 Switch 游戏装进 iPhone:图形界面一键构建,不用命令行。Bring your own game.
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
Mac.apk: Run Android apps natively on Apple Silicon Macs
🦾 A list of reported app support for Apple Silicon as well as Apple M4 and M3 Ultra Macs
Hit your Claude Code usage limit? Keep going free and offline on a local model. Claude Code Local runs on Apple Silicon Macs (MLX), Linux and Windows (llama.cpp) with no API key. Your code stays home.
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