Wire RN is an open-source (MIT) generative-UI SDK for React Native. An AI agent sends a UI payload over A2UI, Google's open protocol for agent-driven interfaces, and Wire RN renders it as schema-validated native components. Examples such as agent-driven onboarding, in-app coaching, and dynamic flows on mobile, where every other generative-UI SDK only does web.
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Maker
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Hey Product Hunt. I'm Malik, an AI-native mobile engineer. I've spent 9 years in React Native, and I built Wire RN because the thing I wanted didn't exist on mobile.
Generative UI (GenUI) represents a fundamental shift from predefined interfaces to real-time, context-aware UI generation powered by AI. You let an AI return an interface instead of a wall of text. But every SDK doing this (Tambo, Thesys, Crayon, v0, CopilotKit) is React for the web. If you build mobile, you were stuck wrapping web views in a native app, or building it all yourself.
Wire RN is the native answer. An agent sends a UI payload, Wire RN maps it to schema-validated React Native components, and a real native screen comes out. No WebView. It speaks A2UI, Google's new open protocol for agent-driven UI, so your agent and your app talk in a standard instead of a custom hack.
The demo is a multi-agent coach built on LangGraph. A supervisor routes between a coach agent and a journal agent, and they drive native cards across two phones. The hard part wasn't the rendering. It was the orchestration: keeping the model out of the control path so it stops looping. Intelligence in the leaves, control flow deterministic.
It's MIT licensed. Free, on GitHub, npm i wireai-rn. This is an early release and I want it shaped by real use.
So my ask: tell me where agent-driven native UI is actually useful, and where it breaks. In-app coaching? Dashboards? I want the brutal version. Does this solve a real problem for you, or is it a solution looking for one?
I'll be here all day answering every comment. Thanks for taking a look.