🚀 Build modern API applications effortlessly with this lightweight, PSR-compliant PHP framework featuring routing, ORM, and secure authentication.

A Webapp that uses Retrieval Augmented Generation (RAG) and Large Language Models to interact with a PDF directly in the browser.

A Chrome extension that uses PromptAPI and vector embeddings to help users quickly find answers about the current website's content.

A paraphrasing tool that leverages LLMs in the browser.

An MCP-enabled Qwen3 0.6B demo with adjustable thinking budget, all in your browser!

interactive semantic search demo using Qwen3-0.6B-Embedding in your browser

🚀🛸 Easily boost the speed of pulling your models and datasets from various of inference runtimes. (e.g. 🤗 HuggingFace, 🐫 Ollama, vLLM, and more!)

A lightweight recreation of OS1/Samantha from the movie Her, running locally in the browser

your private, personal assistant

Privacy-first AI-powered document search. Upload docs, search semantically with Transformers.js - all client-side, no data leaves your browser.

A privacy-first, fully offline neural machine translation application supporting 200+ languages. Built on Meta's NLLB-200 model, this tool runs entirely in your browser without requiring server infrastructure or internet connectivity after initial model download.

👁️ Client-Side Computer Vision: Turning 2D images into 3D sculptures in real-time. ⚡ Powered by WebAssembly (WASM), ONNX & Transformers.js (Zero-Backend).

Pixel art editor with AI generation. Experiment testing LLMs for structured pixel output via WebGPU in the browser. Two models: OpenAI API (GPT-5.2) and local Ministral 3B via Transformers.js. Spoiler: small local models don't work great for this, but it was fun to build. Not for production use.

Local batch image analysis in the browser using Ministral 3B

A client-side Agent Observability platform. Monitor agent traces, track token costs, and detect semantic drift in real-time. Features 100% local inference via WebGPU and chaos engineering tools.

Browser-based AI image background removal app using Transformers.js and the RMBG-1.4 model, storing original and cutout images in Backblaze B2 Cloud Storage — no GPU or backend required.

Browser-based audio transcription using Whisper and Transformers.js, storing results in Backblaze B2 Cloud Storage.

The web application for Texo, a minimalist SOTA LaTeX OCR model which contains only 20M parameters runs in browser. | 超轻量SOTA LaTeX公式识别模型，20M参数量的 web 应用仓库

Real-time video object detection monitoring demo using Transformers.js and Backblaze B2 Cloud Storage. Runs YOLOv9 fully in the browser with automatic capture intervals, no server or GPU required. Detected snapshots and metadata are stored in low cost, scalable B2 storage for analysis and retention.

RAG Vault gives AI coding assistants instant access to your private documents—API specs, research papers, internal docs—without ever sending data to the cloud. One command, zero configuration, complete privacy.