mlx-serve

About mlx-serve

OpenAI- and Anthropic-compatible local inference for Apple Silicon — MLX and GGUF — faster than LM Studio on the same file. No Python. No cloud. No Electron.

mlx-serve is a native Zig server that runs any LLM on Apple Silicon — MLX-format models and every GGUF on HuggingFace (Qwen, Llama, Mistral, Gemma, DeepSeek V4 Flash, thousands more). It exposes OpenAI-compatible and Anthropic-compatible HTTP APIs out of the box, so the same http://localhost:11234 works with Claude Code, the OpenAI SDK, Continue, Cursor, Open WebUI, and anything else that speaks one of those wires. Ships with MLX Core, a macOS menu-bar app with chat, agent mode, MCP tool call…

Short names, org/repo HuggingFace ids, and name:tag all work. And because mlx-serve speaks the Ollama API (/api/chat, /api/generate, /api/tags, /api/embed, /api/pull, …) alongside OpenAI and Anthropic, your existing Ollama-connected tools — Raycast, Obsidian, Enchanted, Open WebUI, ollama-python/js — work unchanged: point them at http://localhost:11234 and keep your workflow, on a faster engine.

From the project's README

mlx-serve is an open-source project written primarily in Zig, with 199 stars on GitHub. It was last updated in June 2026.