Best alternatives to oMLX in 2026

Running AI models on your own computer instead of sending data to a cloud API usually means wrestling with the command line and picking the right inference engine. oMLX packages that into a native Mac app: install it, pick a model from a menubar icon, and it starts serving that model locally — no terminal required, though one is still available if you want it. Built specifically for Apple Silicon, it uses continuous batching and a tiered (RAM + SSD) KV cache to serve multiple models efficiently, and supports text, vision-language, OCR, embedding, and reranker models via mlx-lm — including recent families like GLM-5.2, MiniMax M3, and Qwen3.5. It exposes OpenAI- and Anthropic-compatible APIs (so existing tools and scripts work against it unmodified), plus tool calling, structured output, a real-time admin dashboard, and a built-in chat interface. Requires macOS 15+ (Sequoia) and an M1–M5 chip; free and open-source under Apache 2.0.