--- title: "WWDC26: Run local agentic AI on the Mac using MLX | Apple" url: https://daily.dev/posts/wwdc26-run-local-agentic-ai-on-the-mac-using-mlx-apple-rr9uvph90 source_url: https://www.youtube.com/watch?v=wykPErJ8M-8 type: video:youtube source: "Apple Developer" published: 2026-06-08T21:25:23.465Z updated: 2026-06-08T21:32:31.643Z tags: ["ai-agents", "local-ai"] reading_time: 13 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # WWDC26: Run local agentic AI on the Mac using MLX | Apple **[Apple Developer](https://daily.dev/sources/appledeveloper)** · 13 min read · 0 upvotes · 0 comments ## Summary A WWDC26 session walkthrough on building and running agentic AI workflows entirely on a Mac using MLX, with no cloud or API keys required. The four-layer stack consists of MLX (array framework for Apple silicon), MLX-LM (model loading/quantization), MLX-LM Server (OpenAI-compatible HTTP server with tool calling), and any agent framework on top. Setup takes three steps: install MLX-LM via pip, start the server with a tool-calling model, and point an agent at localhost. Key hardware optimizations covered include M5 Neural Accelerators providing 4x faster matrix multiplication for prompt processing, continuous batching for concurrent multi-agent requests, and distributed inference across multiple Macs via Thunderbolt/Ethernet (up to 3x speedup with four nodes, supporting models like DeepSeek's 1.6T parameter variant). Live demos show an agent building a SwiftUI drawing app from scratch using OpenCode, and Xcode's Intelligence tab connecting directly to the local MLX server to identify and fix bugs — all with code staying on-device. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [I switched my local LLM setup to Ollama's new MLX engine, and my Mac suddenly feels twice as fast](https://daily.dev/posts/i-switched-my-local-llm-setup-to-ollama-s-new-mlx-engine-and-my-mac-suddenly-feels-twice-as-fast-3pyxiagbi) · XDA Developers · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#local-ai](https://daily.dev/tags/local-ai) [View this post on daily.dev](https://daily.dev/posts/wwdc26-run-local-agentic-ai-on-the-mac-using-mlx-apple-rr9uvph90)