webgpu

WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.

A 30-second WebGPU benchmark that measures a device’s memory-bandwidth ceiling for local AI and checks for a WebGPU subgroup correctness bug, with receipts, projections, and comparison data.

Sipp is a zero-dependency AI inference runtime for running models in the browser and across Node, Rust, Python, and self-hosted gateways. The page shows install commands, a symmetric client API, benchmark claims, and live demos for chat, agents, vision, and game use cases.

A browser-based procedural 3D world built by Claude Fable 5 with three.js and WebGPU. The repo describes a fully generated open world, its rendering and world systems, and how to run it locally.

A browser-based computer vision project that detects cursor hotspots in screen recordings using temporal motion cues, ONNX Runtime Web, and WebGPU. The repo includes a live demo, training scripts, synthetic data generation, and baseline comparisons against YOLO models.

A browser-based clicker game where local AI builds a custom game from your idea entirely on-device via WebGPU, with no API keys or servers.

A long-form technical guide on running local LLMs in the browser, with checks for WebGPU support, model hashes, tokenizer matching, and browser-side data leakage.

A practical article explaining how to run AI models directly in the browser with Transformers.js, including setup, how it works, browser support, and example use cases like translation and grammar checking.

Browser-only local AI app for running compatible Hugging Face ONNX community models with WebGPU. The page shows a model library, local text generation, and an inference console in the browser.