ag-ui-protocol/ag-ui
The official AG-UI protocol repository, positioned as the agent-user interaction layer for bringing agents into frontend applications. It is especially relevant because it sits one level below app-specific demos: it defines the transport and event model that lets agent backends stream messages, tool activity, and UI updates into real products across clients.
A2UI v0.9: The New Standard for Portable, Framework-Agnostic Generative UI
Official Google Developers Blog update on A2UI v0.9. The post positions A2UI as a production-oriented standard for declarative, agent-generated UI, adds the official React renderer, and explains how agents can target existing component catalogs across web and mobile without generating arbitrary frontend code.
Stop making AI write JSON - Why we built OpenUI
OpenUI's official engineering write-up on why the team moved beyond JSON trees for Generative UI. It lays out the runtime requirements for interactive agent-generated interfaces, argues that nested JSON becomes fragile for stateful UI, and introduces OpenUI Lang as a streaming-first language for model-generated UI.
Introducing Tambo 1.0
Official Tambo launch post for its production-ready React generative UI toolkit. The post explains the fullstack model: developers register existing React components, the agent selects and streams props into them, and Tambo handles conversation state, orchestration, and persistent interactive component behavior.
CopilotKit Docs: Generative UI Overview
Official CopilotKit documentation page that explains the core primitives behind its Generative UI stack. It breaks the space into concrete runtime patterns such as components-as-tools, tool-call rendering, state rendering, sandboxed MCP Apps, and declarative UI renderers, making it a useful map of production implementation choices.
CopilotKit/generative-ui
Official CopilotKit example repository that demonstrates three concrete Generative UI patterns: controlled GenUI with frontend tools, declarative GenUI with A2UI/Open-JSON-UI, and open-ended UI generation rendered inside a sandbox. Compared with generic demos, it is valuable because it places multiple GenUI approaches side by side in one maintained example set.
CopilotKit/OpenGenerativeUI
CopilotKit's official open-source framework for open-ended Generative UI. Unlike declarative component-spec examples, this repo focuses on richer sandboxed HTML/SVG experiences such as charts, diagrams, simulations, and 3D scenes, showing how an agent can generate full interactive visual responses inside a controlled iframe runtime.
thesysdev/openui
The official OpenUI GitHub repository from Thesys. It packages the OpenUI language, runtime, and component-driven React integration in one place, making it the concrete implementation companion to the team’s design essays. It is especially useful for developers evaluating streaming-first GenUI systems beyond plain JSON schemas.
Introducing A2UI: An open project for agent-driven interfaces
Official Google Developers Blog announcement for A2UI, a portable declarative format for agent-generated interfaces. It explains how remote or local agents can request trusted UI components from a host app instead of emitting arbitrary HTML, making Generative UI safer, cross-platform, and incrementally updateable.
google/A2UI
The official A2UI repository from Google. It packages the specification, renderers, samples, and tooling for the agent-to-user-interface format, making it the most direct implementation reference for portable, declarative Generative UI across trusted component catalogs.
Google Research Blog: Generative UI
Google Research blog article "Generative UI: A rich, custom, visual interactive user experience for any prompt". Written by senior engineers at Google Research, it introduces the implementation approach and experimental results of Generative UI. The article states: "Generative UI is a new capability that enables AI models to create not just content but the entire user experience", and explains that this feature has been experimentally launched in Gemini app and Google Search AI Mode.
Generative UI and Outcome-Oriented Design
Article by Nielsen Norman Group discussing the impact of Generative UI on design paradigms. The author defines Generative UI as "technology that dynamically generates tailored interfaces for users in real-time via AI", arguing that it will shift interface design from satisfying the majority to satisfying individuals. The article advocates transitioning from traditional interface design to "outcome-oriented design", focusing on user goals and final experiences.
An introduction to Generative UIs
UX Collective article by Mark O'Neill introducing the concept and practical cases of Generative UI. The author notes that this term "emerged in 2023" and defines it as "technology that automatically builds or adjusts interfaces based on context through generative AI". The article demonstrates how UI elements, layouts, and styles can vary by user to achieve personalized experiences with GenUI.
Generative UI: Smart, intent-based, and AI-driven
Medium/Design Bootcamp article by Daniel Ostrovsky explaining the potential of Generative UI from business and user perspectives. The article argues that GenUI is not about AI "creating entirely new components from scratch", but rather intelligently selecting and arranging existing interface elements based on user intent. It demonstrates how GenUI can improve efficiency and experience through examples in financial services and educational applications.
Google launches Gemini 3, Google Antigravity, generative UI features
Constellation Research technical analysis article introducing the Gemini 3 launch and emphasizing Generative UI features: Gemini 3 can "create interactive components, provide different scenario options, images, tables and text". The article details the Visual Layout and Dynamic View experiments.
9to5Google: Gemini 3 Launch Analysis
9to5Google detailed analysis of Gemini 3 explaining Generative UI features. The article notes that Dynamic View enables Gemini 3 to "design and code a fully custom interactive response" for each prompt, while Visual Layout generates "magazine-style" immersive multimedia interfaces.
Generative UI Project - Google
Google team's Generative UI project website (generativeui.github.io), containing research papers, interactive examples, and some code, demonstrating their GenUI implementation approach.
Flutter GenUI SDK
Official library (BSD license) from the Flutter team for integrating generative UI capabilities in Flutter applications. It provides JSON-formatted interactive component definitions and state feedback mechanisms, converting chat outputs to actionable interfaces. Currently has 930+ stars and is an experimental project from Flutter.
vercel-labs/json-render
Vercel Labs' official open-source Generative UI framework. json-render lets models generate interfaces from prompts while staying constrained to a developer-defined component catalog, then progressively renders the resulting spec across web, mobile, and other runtimes.
LangUI - UI for AI
LangUI (MIT license) is an open-source Tailwind CSS component library customized for GPT/generative AI applications. It provides rich UI components that can integrate with any LLM-powered project (such as chatbots, content generation tools), simplifying GenUI development.
Anilturaga/Generative-UI - Imagine with Claude
Open-source "Imagine with Claude" demonstration project, showcasing generative UI capabilities with Claude.
AIBase News: Google Generative UI
Chinese tech media AIBase's coverage in November 2025 reporting that "Generative UI enables AI to generate actionable dynamic interfaces when answering questions".
Generative UI with AI: The Future of Frontend Web Development
Comprehensive article by Pansofic exploring how Generative UI with AI is transforming frontend development. It covers real-time UI adaptation, natural language to interface generation, personalized experiences, and faster prototyping. The article includes case studies of Builder.io, Vercel AI SDK, and Figma AI Assistant, along with best practices for implementation.
AI is the new UI: Generative UI with FastHTML
In-depth tutorial by Pol Alvarez Vecino demonstrating how to build interactive Generative UI applications using FastHTML and HTMX in less than 150 lines of code. The article explores the evolution from text-only chat interfaces to display-only GenUI and fully interactive GenUI, explaining how the hypermedia approach eliminates "contract coupling" between frontend and backend, enabling LLMs to generate truly dynamic interfaces.