Production ready toolkit to run AI locally
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Updated
Feb 5, 2026 - Kotlin
Production ready toolkit to run AI locally
AI edge infrastructure for macOS. Run local or cloud models, share tools across apps via MCP, and power AI workflows with a native, always-on runtime.
Playground examples to demonstrate Foundation Models Framework
React Native Apple LLM plugin using Foundation Models
Decrypted Generative Model safety files for Apple Intelligence containing filters
'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Supports Apple Vision and single command (non-server) inference with piping as well . Now with Web Browser and local AI API aggregator
Custom implementation of Apple Intelligence features
A C library for embedding Apple Intelligence on-device Foundation models in any programming language or application with full support for native tool calling and MCP.
Autocorrection, synonym suggestions for the word under the cursor, and rephrasing of the selected text. All with one key press.
This is for EMNLP 2024 Paper: AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
Read Hacker News on your iPhone, iPad, and Apple Watch, with features such as widgets and dark mode.
Super-simple API for working with Foundation Models in Swift
Make Apple's Foundation Models accessible over web APIs
Lightweight, intent-driven control plane for smart home & local automation. Uses iOS Shortcuts & Control URLs without local LLM/GPU hosting.
A server to redirect Apple's Foundation Models framework to a simple HTTP request API endpoint.
A Swift command-line interface tool for interacting with macOS Apple Intelligence foundation models.
iOS 26 chat app showcasing FoundationModels framework: on-device LLMs, tool calling, EventKit integration, and privacy-first AI implementation
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