mlx-serve

What it does

Native Zig inference server for Apple Silicon — no Python, no conda. One binary. 35%+ faster decode than LM Studio on Gemma 4 E4B 4-bit. Drop-in replacement for Ollama (/api/chat, /api/generate), plus full OpenAI and Anthropic APIs on the same port. Beyond chat: local image gen (FLUX.2 + Krea-2), video gen with audio (LTX-Video), voice cloning (Qwen3-TTS + ECAPA-TDNN), and an agent that runs in an isolated Linux VM on Virtualization.framework. Free macOS menu-bar app included.

Native Zig inference server for Apple Silicon. Runs any LLM — MLX and GGUF — faster than LM Studio. OpenAI- and Anthropic-compatible (Claude Code) APIs. No Python. Drop-in alternative to LM Studio, Ollama, and llama.cpp on macOS. Gemma 4, Qwen 3.8, Llama 3, Mistral, DeepSeek V4 Flash — local, MIT-licensed.

Chat with it, ask it about your own documents, make images, music, video and 3D, and let it run errands on your computer — free, open source, and fully offline . It runs every major open model, faster than LM Studio, and nothing you type ever leaves the machine. The fastest way to "get" it. Each takes under a minute — and each is something only an AI on your own Mac can do. Press ⌃Space over any app — your browser, an email, a game — and a little prompt box appears. Ask your question; the answer streams in right there . No tab-switching, no logging in. It's the fastest quick-question, "what's the word for…" habit you'll pick up. Follow-ups remember the conversation, and Esc tucks it away.…from mlxserve.com

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  Ollama v0.19Apr 2026 · ollama.com · ▲410

  Massive local model speedup on Apple Silicon with MLX

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  I made an app to use local AI as daily driver2024 · recurse.chat · ▲637

  Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

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  Ollama – Run LLMs on your Mac2023 · github.com · ▲284

  Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

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  I built a free in-browser Llama 3 chatbot powered by WebGPU2024 · github.com · ▲547

  I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…

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  We made our own inference engine for Apple Silicon2025 · github.com · ▲186

  We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.

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