LocalMode
Run AI in your browser - no servers, no API keys
LocalMode launched on July 16, 2026 with 3 votes, #8,766 of 24,623 launches that month and more than 50% of that year's launches.
What it does
LocalMode is an open-source (MIT) toolkit for running AI entirely in the browser: LLM chat over 76 models, RAG, speech, and vision. No servers, no API keys, and data never leaves the device. WebGPU with a WebAssembly fallback; works offline.
Installable, composed blocks assembled from LocalMode UI Elements, running real models entirely in your browser.
Full, working experiences that compose the LocalMode UI elements into real apps: chat, knowledge search, vision, audio, photos, and more. Each runs a real model entirely in your browser, with no server and no API key, and nothing downloads until you press Load. Install any block the same way - swap chat for any block name. What your browser reports it can do for on-device AI. Detected locally, nothing is sentfrom localmode.ai
Does a similar job
all alternatives →- WEWebGPU enables local LLM in the browser – demo site with AI chat2025 · andreinwald.github.io · ▲145
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…

Run AI models directly in the browser – no server or internet required2025 · private-ai-chat.vercel.app · ▲11Local In-Browser LLM inference for private, fast, and secure chat - no server required.

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

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