WebGPU enables local LLM in the browser – demo site with AI chat
Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
WebGPU enables local LLM in the browser – demo site with AI chat launched on August 2, 2025 with 145 votes, #235 of 8,530 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This is a browser-based AI chat demo that runs large language models locally using JavaScript and WebGPU, without requiring API keys or external services. The model executes entirely on the user's device with no network requests, and the model files are cached in the browser after initial download. It works across Chrome, Safari, Firefox, and mobile browsers, requiring no software installation or file downloads beyond the cached model.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your…
Does a similar job
all alternatives →
I built a free in-browser Llama 3 chatbot powered by WebGPU2024 · github.com · ▲547I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…
BrowserAI – Run LLMs directly in browser using WebGPU (open source)2025 · github.com · ▲85Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface

Typing Mind2023 · typingmind.com · ▲826Chat with AI using your API keys. Pay only for what you use. ChatGPT, Gemini, Claude, and other LLMs supported. The best chat LLM frontend UI for all AI models.
WasmGPT – “ChatGPT” in the browser, no WebGPU and no server needed2023 · lxe.co · ▲185Using threaded emscripten to speed up the generation and offload the main loop. No SIMD or other optimizations. Might work faster with #enable-experimental-webassembly-features enabled. Tested in x86 Chrome and Firefox, Apple Silicon Safari Run it yourself: https://github.com/lxe/ggml/tree/wasm-demo Thanks, https://github.com/ggerganov/ggml,
- IBIn-Browser Graph RAG with Kuzu-WASM and WebLLM2025 · blog.kuzudb.com · ▲158
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
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