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. Explore related documentation, sample code, and more: MLX Swift LM on GitHub: https://github.com/ml-explore/mlx-swift-lm MLX Swift: https://github.com/ml-explore/mlx-swift MLX LM - Python API: https://github.com/ml-explore/mlx-lm MLX Explore - Python API: https://github.com/ml-explore/mlx MLX Framework: https://mlx-framework.org MLX: https://ml-explore.github.io/mlx/ MLX Swift Examples: https://github.com/ml-explore/mlx-swift-examples MLX Examples: https://github.com/ml-explore/mlx-examples Explore distributed inference and training with MLX: https://developer.apple.com/videos/play/wwdc2026/233 Explore numerical computing in Swift with MLX: https://developer.apple.com/videos/play/wwdc2026/328 Build local AI agents on Mac with MLX: https://developer.apple.com/videos/play/wwdc2026-shorts/229 Get started with MLX for Apple silicon: https://developer.apple.com/videos/play/wwdc2025/315 Explore large language models on Apple silicon with MLX: https://developer.apple.com/videos/play/wwdc2025/298 00:00 - Introduction 00:32 - The chat and agentic loop 02:42 - Local agentic AI stack 04:36 - Setting up your own agent 05:39 - Making agents fast 06:53 - Concurrency and distributed inference 09:20 - More examples 13:01 - Next steps More Apple Developer resources: Video sessions: https://apple.co/VideoSessions Documentation: https://apple.co/DeveloperDocs Forums: https://apple.co/DeveloperForums App: https://apple.co/DeveloperApp

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