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Alternatives

Products that do what CyberWriter – a .md editor built on Apple's (barely-used) on-device AI does

Apple has quietly shipped a pretty complete on-device AI stack into macOS, with these features first getting API access in MacOS 26. There are multiple components in the foundation model, but the skills it shipped with actually make this ~3b parameter model useful. The API to hit the model is super easy, and no one is really wiring them together yet. - Foundation Models (macOS 26) - a ~3B-parameter LLM with an API. Streaming, structured output, tool use. No API key, no cloud call, no per-token cost. - NLContextualEmbedding (Natural Language framework, macOS 14+) -- a BERT-style 512-dim text…

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  23. 23SS

    Despite the Liquid Glass controversy, our team is quite excited about the new on-device ASR model and Foundation Model Framework. It makes building local-first AI apps much easier, it was very easy to build a basic scribe app compared to our first iteration of our meeting note taker. Everything runs locally with zero cloud dependencies. With the option to combine with cloud models for more complex tasks, we hope to see more local-first AI apps. Microsoft just announced Foundry local as well, and it'll be interesting to see where they go with it. There are still some limitations with the…

    2025 · github.com

  24. 24SO

    We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…

    2025 · github.com

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