BrowserAI is a cutting-edge platform that allows users to run large language models (LLMs) directly in their web browser without the need for a server. It leverages WebGPU for accelerated performance and supports offline functionality, making it a highly efficient and privacy-conscious solution. The platform provides a developer-friendly SDK with pre-configured popular models, and it allows for seamless switching between MLC and Transformer engines. Additionally, it supports features such as speech recognition, text-to-speech, structured output generation, and Web Worker support for non-blocking UI performance.
Features
- 100% privacy, with processing happening locally in the browser.
- WebGPU acceleration for fast model inference.
- Zero server costs and offline functionality.
- Pre-optimized models for text generation and more.
- Easy-to-use API for integration.
- Supports speech recognition and text-to-speech.
- Web Worker support for smooth, non-blocking UIs.
- Structured output generation in JSON format.
- Built-in database support for storing conversations and embeddings.
Categories
LLM InferenceLicense
MIT LicenseFollow BrowserAI
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of BrowserAI!