by john-rocky · AI Tool · ★ 47
CoreAIKit Download a tested Core AI model and run it in your Swift app. CoreAIKit handles model selection, download and caching, with chat, vision and speech examples by Daisuke Majima (MLBoy). Community package — not affiliated with Apple. Requires macOS 27 / iOS 27 and Xcode 27 (real device; the CoreAI framework is not in the iOS Simulator SDK). The entry below uses Qwen3 0.6B (): approximately 352 MB on Mac (the iPhone bundle is approximately 456 MB), downloaded from Hugging Face on first use and cached. Keep at least 1 GB of free disk for the starter.
| Stars | 47 |
| Forks | 8 |
| Language | Swift |
| Category | AI Tool |
| License | BSD-3-Clause |
| Quality Score | 56.0334259323104/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-09 |
| Created | 2026-06-12 |
| Est. Tokens | ~15k |
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coreai-kit is Run LLMs, VLMs, ASR, TTS, diarization and more fully on-device with Apple's Core AI framework (iOS/macOS 27) — one line of Swift per model, 60 models pinned to immutable Hugging Face revisions, each g. It is categorized as a AI Tool with 47 GitHub stars.
coreai-kit is primarily written in Swift. It covers topics such as apple, apple-core-ai, asr.
You can find installation instructions and usage details in the coreai-kit GitHub repository at github.com/john-rocky/coreai-kit. The project has 47 stars and 8 forks, indicating an active community.
coreai-kit is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.