Does LocalMode UI work offline?

Yes. After the initial model download, inference runs entirely in the browser without network requests. The site is also an installable PWA whose shell works offline.

Do I need an API key or server?

No. LocalMode UI blocks run models on-device through WebGPU or WebAssembly, so they do not require a server or API key.

How do I install a LocalMode UI component?

Configure the @localmode namespace in components.json, then run npx shadcn@latest add @localmode/ui/<name> using the shadcn CLI.

Which browsers are supported?

WebGPU-capable browsers such as Chrome and Edge 113+ and Safari 26+ can use GPU-accelerated inference. Other modern browsers can use the WebAssembly fallback.

Is LocalMode UI free and open source?

Yes. LocalMode UI is MIT-licensed and free to use.

What types of AI features are available?

The toolkit supports local LLM chat, RAG, vector search, speech-to-text, text-to-speech, image classification, object detection, CLIP search, PII redaction, agents, and AI workflow interfaces.

LocalMode UI: Open-source browser AI components for private, offline applications

Name: LocalMode UI
Rating: 5 (98 reviews)
Author: toolify

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Open-source browser AI components for private, offline applications

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Aug 06 2026

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LocalMode UI Product Information

What is LocalMode UI?

LocalMode UI is an open-source, MIT-licensed toolkit and shadcn-style registry for building privacy-first AI interfaces that run entirely in the browser. It provides more than 100 copy-owned React components and 36 installable blocks for chat, RAG, vector search, vision, audio, agents, privacy, and developer tools. Models run locally through WebGPU or a WebAssembly fallback, so applications can work without servers or API keys and keep user data on the device.

How to use LocalMode UI?

Browse the LocalMode UI component registry or Blocks gallery, configure the @localmode namespace in components.json, and install components with the shadcn CLI, such as npx shadcn@latest add @localmode/ui/conversation/message. For AI blocks, download the required models in the browser, then use the installed React components to run chat, RAG, transcription, vision, or other local AI workflows. After the initial model download, supported applications can run offline.

LocalMode UI's Core Features

100+ copy-owned React components compatible with shadcn-style workflows

36 installable AI blocks for chat, RAG, vision, audio, agents, privacy, and text tools

On-device LLM chat supporting more than 76 models

Browser-based RAG and vector search over local documents

Whisper speech-to-text and Kokoro text-to-speech with 29 voices

On-device image classification, object detection, and CLIP image search

WebGPU acceleration with WebAssembly fallback

Offline operation after the initial model download

Zero-dependency core with 64 React hooks

Local browser capability detection for WebGPU, WebAssembly, IndexedDB, OPFS, workers, and related features

LocalMode UI's Use Cases

Build private browser-based AI chat applications without API keys

Create document-grounded RAG assistants using locally stored files

Add offline speech transcription and text-to-speech to web applications

Develop image classification, object detection, and visual search tools

Create privacy-focused PII redaction workflows

Prototype AI agents and tool-call interfaces with installable UI blocks

Build offline-first AI products that keep user data on the device

Add model download, loading, recommendation, and device compatibility interfaces to React applications

FAQ from LocalMode UI

Does LocalMode UI work offline?
Do I need an API key or server?
How do I install a LocalMode UI component?
Which browsers are supported?
Is LocalMode UI free and open source?
What types of AI features are available?

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LocalMode UI Reviews (0)

5 point out of 5 point

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