WWDC26: Run local agentic AI on the Mac using MLX

Run AI agents locally with privacy, low latency, and offline access. Dive into how MLX advancements and Mac hardware make powerful agentic workflows possible entirely on-device. You’ll explore code agents such as OpenCode, see how they integrate into Xcode, learn techniques for multi-Mac scaling, and discover how to integrate tools seamlessly — without ever leaving your machine.

Running local models on Macs gets faster with Ollama’s
MLX support

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open source MLX framework for machine learning. Additionally, Ollama says it has improved caching performance and now supports Nvidia’s NVFP4 format for model compression, making for much more efficient memory usage in certain models.