LocalMode UI
100+ React components for building on-device AI interfaces — chat, RAG, vision, audio, all running in the browser
| What is it | 100+ React components for building on-device AI interfaces — chat, RAG, vision, audio, all running in the browser |
|---|---|
| Pricing | Free |
| Free tier | Yes |
| Platform | Web Application |
| Best for | Building chat interfaces with on-device language models, Creating RAG systems that run entirely in the browser |
| Domain registered | 2025 |
Data updated Aug. 15, 2026
What does LocalMode UI do?
LocalMode UI is a collection of over 100 copy-owned React components and 36 installable blocks for building browser-native AI interfaces. The components cover chat, knowledge retrieval, vision, audio, photo analysis, agent workflows, and privacy controls. Everything is designed to run on-device using local models, with no server or API key required. Developers can install components via the shadcn registry with a single npx command, making it easy to drop in AI-powered UI elements like message bubbles, slash command palettes, model download progress bars, and transcription cards.
The library stands out for its local-first philosophy. Components like the model compatibility card, downloader, and loading panel handle the full lifecycle of on-device AI — from checking if a model fits on the user's device to downloading and running it in the browser. The blocks gallery takes it further by composing these components into real experiences: a chat block that runs a real model, a RAG chat that streams grounded answers over your own documents, an object detector that labels objects in a photo or webcam feed, a voice notes block that transcribes audio, and an image search that finds photos by description or visual similarity. All of these run entirely in the browser using WebGPU, WebNN, WASM, or CPU threads, depending on what the device supports.
LocalMode UI is aimed at React developers and frontend engineers who want to add AI features to their web apps without relying on cloud APIs. It's especially useful for privacy-sensitive applications where data should never leave the user's device, or for offline-capable AI tools. The components are also helpful for prototyping AI interfaces quickly — you can have a working chat or RAG interface in minutes by installing a few components and pointing them at a local model. The library is open source and available through the shadcn registry, making it a natural fit for developers already using shadcn/ui in their projects.
Key features
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