OpenUI is an open-source toolkit that enables AI applications to generate and render custom user interfaces directly from LLM responses. It allows developers to define their own UI component libraries, which AI models can then use to output structured, interactive visual elements instead of plain text, bridging the gap between conversational AI and dynamic front-end experiences.
Free
How to use OpenUI?
Define your UI components using OpenUI's schema, integrate it with your preferred LLM (like OpenAI or Anthropic), and let the AI generate responses in OpenUI Lang. The system prompt instructs the LLM to use your components, and OpenUI's renderer parses this structured output to display interactive charts, forms, cards, or tables directly in your app, transforming simple chat into a rich visual interface.
OpenUI 's Core Features
Define custom UI component libraries that your AI can understand and use to generate responses.
Works with any major LLM provider including OpenAI, Anthropic, Gemini, and Mistral for maximum flexibility.
Integrates seamlessly with popular AI frameworks like Vercel AI SDK, LangChain, and various Agents SDKs.
Offers significant performance benefits with up to 3x faster rendering and 67% fewer tokens than JSON-based rendering methods.
Ensures safety by preventing arbitrary code execution while supporting interactive inputs and streaming responses.
Platform-agnostic design with current support for JS runtimes and planned native support for iOS and Android.
OpenUI 's Use Cases
Developers building AI-powered dashboards can use OpenUI to let the AI generate live data visualizations and interactive charts on the fly.
Product teams creating AI assistants for customer service can implement dynamic forms and decision trees that adapt based on user input.
Content management tools can leverage OpenUI to allow AI to structure and present articles, product listings, or search results with custom card layouts.
Educational platforms can build tutors that generate interactive quizzes, flashcards, and progress trackers directly within the chat interface.
E-commerce applications can enable AI shopping assistants to display product carousels, comparison tables, and booking widgets conversationally.