MLX-LM Server exposes a locally running language model via an OpenAI-compatible HTTP API on your Mac, enabling fully offline agentic AI workflows — tool calling, multi-step reasoning, and concurrent subagents — with no cloud dependency. New in macOS 26, MLX targets dedicated Neural Accelerators on M5 for up to 4× faster prompt processing.
• Run agentic coding workflows (write, build, debug) entirely on-device: your source code never leaves your Mac
• MLX-LM Server is a drop-in replacement for OpenAI-compatible APIs, so any agent framework (OpenCode, Xcode Intelligence, custom scripts) works without modification
• M5 Neural Accelerators deliver ~4× prompt-processing speedup automatically — no code changes required — and distributed inference across multiple Macs via Thunderbolt RDMA supports models up to 1.6T parameters
Foundation Models is a new Apple framework introduced in iOS 27 that gives developers on-device access to the same Apple Intelligence language model powering system features, enabling text generation, structured output, and tool-calling entirely on-device without a network connection.
Visual Intelligence brings iOS 17's Visual Look Up capabilities to a new developer-facing API surface in iOS 27, letting apps pipe live camera frames or static images through on-device scene understanding to extract subjects, text, barcodes, and rich semantic labels without any cloud round-trip.
iOS 27 opens the Foundation Models framework to third-party LLM providers via a new public LanguageModel protocol, enabling anyone to integrate custom, server-based, or open-source models using the same Swift API as Apple's on-device system model.
In-depth guide
iOS 27 On-Device AI & Apple Intelligence →App Schemas let developers describe their app's content and actions using pre-defined domain schemas (like the Calendar domain) so Siri can understand, search, and act on app data without custom NLP. Entities conforming to IndexedEntity are donated to Spotlight's semantic index, enabling natural-language queries over app content.