Run local agentic AI on the Mac using MLX

A Podkey summary of Run local agentic AI on the Mac using MLX, from WWDC 2026.A lot of this comes down to one idea: the whole AI loop can now live on your Mac, not half on your machine and half in somebody else’s cloud. That means the model can think, use tools, look at results, and keep going until the job is done, while your data stays local and you stop worrying about API keys and metered usage. Under the hood, Apple silicon, the MLX stack, and some pretty serious batching and distributed inference tricks are what make that feel practical instead of theoretical.What the local agent loop actually isThe four-layer MLX stackWhy the newer chips help so muchKeeping multi-agent workflows responsiveOne model across several MacsHow big local can getWhat this looks like inside XcodeWhy adoption may happen faster than expectedThis podcast was created with Podkey. Make your own at https://podkey.fm