swift-mlx-lm
01Skill Claude CodeCodex
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.
23 tagged on-device-ai, measured the same way as everything else here.
Browse within: edge-ai 12generative-ai 12Gemma 9ios 9litert 9local-agent 9mobile-agent 9
Skill Claude CodeCodex
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.
Skill Claude CodeCodex
Rapidly migrate an Android application from legacy TensorFlow Lite (TFLite) to the modern LiteRT CompiledModel API (2.x) in Open Source GitHub repositories, keeping the TensorFlow Lite Support Library as LiteRT Support (litert-support 2.3.0). Covers buffer reuse, NPU JIT compilation, a reference implementation, and a…
Skill Claude CodeCodex
An offline knowledge manager based on PARA, a way to organize information into Projects, Areas, Resources, and Archives. It organizes notes, searches them by meaning, and combines related information on the user's device.
Skill Claude CodeCodex
Use web-ai-sdk documentation and package references to build with the Web AI surface.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: