#112 · Primary category: LLM Application Frameworks

Foundation-Models-Framework-Lab

ai apple-foundation-models apple-intelligence foundation-models foundation-models-framework generative-ai healthkit ios large-language-models llm macos multilingual on-device-ai rag speech-recognition swift swiftui text-to-speech tool-calling xcode

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

Project last updated:08/25/26

GitHub Stars

1.2K

Forks

69

Contributors

10

License

MIT

Why we included this project

Foundation Lab is a native macOS and iOS app for anyone building with Apple's on-device Foundation Models framework, and it pulls the scattered parts of LLM development into one place. Instead of juggling separate demos and console snippets, you get editable recipes, a prompt playground, and a run inspector in a single interface. That arrangement helps developers who want to see how model configuration, tool calling, and security settings behave on real hardware, as well as teams checking whether a particular adapter or runtime setup will fit before they commit. The Xcode 27 workshop and the adapter comparison workspace make it easy to change one variable and immediately see the effect on transcript, tool calls, timing, and token usage. Experiments are saved and can be exported as Swift, so the app stays useful as a production reference once you move past the tutorial stage.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category