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Introducing the A2UI Widget Builder ⚙️ An interactive demo and template to build A2UI Widgets and bring them into your application. Powered by CopilotKit & Google's new A2UI spec Includes... - Widget Gallery: premade UI widgets you can use & modify - Material Icons: 100 of the most commonly... show more

CopilotKit🪁

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18,510 просмотров • 6 месяцев назад •via X (Twitter)

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We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

Pratham

33,920 просмотров • 4 месяцев назад

Curious how to build Generative UI? 🦋 Hatcha is a cross-platform party planning demo built with Flutter, ADK, and A2UI by our friends at gskinner! Check out the source code:

Curious how to build Generative UI? 🦋 Hatcha is a cross-platform party planning demo built with Flutter, ADK, and A2UI by our friends at gskinner! Check out the source code:

Flutter

14,505 просмотров • 27 дней назад

Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from shadcn on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:

Introducing Shadify: Generative UI built on ShadCN Simply describe a UI and watch your LangChain agent compose from shadcn on the fly, using AG-UI and CopilotKit🪁. Then export it as React code. Repo below. Try it out here:

Atai Barkai

137,922 просмотров • 3 месяцев назад

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Atai Barkai

11,997 просмотров • 4 месяцев назад

🪁🦜CoAgents x LangGraph Bring your agents into React apps with powerful and fully customizable React hooks. Styled or headless UI. Including Agentic Chat, realtime Shared State, Frontend tools, Generative UI, and Human-in-the-Loop. Used by Fortune 100 teams & thousands of devs. Get started: LangChain

🪁🦜CoAgents x LangGraph Bring your agents into React apps with powerful and fully customizable React hooks. Styled or headless UI. Including Agentic Chat, realtime Shared State, Frontend tools, Generative UI, and Human-in-the-Loop. Used by Fortune 100 teams & thousands of devs. Get started: LangChain

CopilotKit🪁

17,150 просмотров • 1 год назад

One hook connects any Agent to your frontend Then layer on chat UI, threads, generative UI, voice transcription, tool calls, state sync, HITL, and any AI feature. We make it easy for devs to build fullstack agentic apps. Everything here is built with CopilotKit 👇

One hook connects any Agent to your frontend Then layer on chat UI, threads, generative UI, voice transcription, tool calls, state sync, HITL, and any AI feature. We make it easy for devs to build fullstack agentic apps. Everything here is built with CopilotKit 👇

CopilotKit🪁

20,456 просмотров • 1 месяц назад

How to create a delightful widget animation? Sure, with Rive 🫂 Duolingo If you want the tutorial, like and follow 😘 Animation link 👉 #animation #ui #ux #widget

How to create a delightful widget animation? Sure, with Rive 🫂 Duolingo If you want the tutorial, like and follow 😘 Animation link 👉 #animation #ui #ux #widget

Musa Adanur

30,470 просмотров • 1 год назад

launching openv0 ✨ generative UI components • open-source equivalent of vercel • AI generated, plug-and-play, react + tailwind + shadcn components + lucide icons $ npx openv0

launching openv0 ✨ generative UI components • open-source equivalent of vercel • AI generated, plug-and-play, react + tailwind + shadcn components + lucide icons $ npx openv0

cofounder, we have a problem

174,667 просмотров • 2 лет назад

Introducing MCP UI, the SDK that wires UI components directly into the MCP protocol🤯 Watch the video to see the new phase in AI interaction! Why browse when you can have universal apps that deliver the right UI to consume any data and perform any action? Replace cumbersome walls of text with slick interactive components, bringing rich web experiences to MCP-enabled agents such as Claude and Cursor. Let’s build Jarvis so Kent C. Dodds 🏹 doesn’t have to! 🧵>>

Introducing MCP UI, the SDK that wires UI components directly into the MCP protocol🤯 Watch the video to see the new phase in AI interaction! Why browse when you can have universal apps that deliver the right UI to consume any data and perform any action? Replace cumbersome walls of text with slick interactive components, bringing rich web experiences to MCP-enabled agents such as Claude and Cursor. Let’s build Jarvis so Kent C. Dodds 🏹 doesn’t have to! 🧵>>

Ido Salomon

79,431 просмотров • 1 год назад

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Microsoft Teams just got Generative UI But this is just the tip of the iceberg. AG-UI is the protocol connecting any agent to any user on any app, topped with Generative UI. That means your agent can render: - forms - buttons - charts - approval flows Right inside the chat, on the fly. But it's not limited to in-app copilots. What's special is that you can work with any agent using the same system and bring them into any surface, including Slack, WhatsApp, Discord and more. This is exactly why Hermes and OpenClaw took off. As users of these agents, we don't like walls of text, and it's a pain to get when you can have way better UX. CopilotKit🪁 + AG-UI handle that interaction layer. If you want to try out Agentic UI in Microsoft Teams, you can get early access here:

Atai Barkai

23,776 просмотров • 5 дней назад

Introducing Code Blocks A set of UI components & utilities to show your code beautifully. ✓ Copy-Paste. 100% free. ✓ Shiki or Sugar-High for syntax highlighter. ✓ Add components with shadcn /ui CLI. ✓ Docs built with Next.js + Base UI ✨

Introducing Code Blocks A set of UI components & utilities to show your code beautifully. ✓ Copy-Paste. 100% free. ✓ Shiki or Sugar-High for syntax highlighter. ✓ Add components with shadcn /ui CLI. ✓ Docs built with Next.js + Base UI ✨

Pablo

17,916 просмотров • 4 месяцев назад

CLAUDE CODE CAN NOW USE SHADCN SKILLS TO BUILD COMPONENTS THE RIGHT WAY. Install the skill once, and it starts generating UI with shadcn components automatically.

CLAUDE CODE CAN NOW USE SHADCN SKILLS TO BUILD COMPONENTS THE RIGHT WAY. Install the skill once, and it starts generating UI with shadcn components automatically.

0xMarioNawfal

117,158 просмотров • 3 месяцев назад

Finally, we have published Horizon OS UI Set for ISDK-Unity and Figma with the Interaction SDK v69 release on 10/9! This is our first public release of official UI components and design resources based on the Quest Design System. UI Set for Meta XR Interaction SDK: Figma Design file: By using UI Set, you can achieve consistent input modality support, visual feedback, and interaction behaviors. In addition to UI components and common UI pattern examples, theming capability can help you bring your own brand identity into your UI. We hope these UI Set Unity components + Figma design assets + Guideline docs - can help you designers, developers, and creators design, experiment, and build great spatial app experiences for Horizon OS platform. Including a personal blog post - How to build a simple spatial panel app with Meta Horizon OS UI Set, an image viewer with NASA Mars Rover API: #MetaQuest #MixedReality #MetaHorizonOS #InteractionSDK #MetaXRSDK #SpatialComputing

Yoon Park (박동윤)

59,115 просмотров • 1 год назад

Introducing Nuxt UI Playground: prototype and share components instantly, right in your browser ✨ Includes all 125+ components, composables, and Tailwind CSS theming out of the box. Try it now:

Introducing Nuxt UI Playground: prototype and share components instantly, right in your browser ✨ Includes all 125+ components, composables, and Tailwind CSS theming out of the box. Try it now:

Benjamin Canac

12,132 просмотров • 3 месяцев назад

If you use Next.js + @shadcn/ui, you know the pain of importing components one by one. As a lazy dev, I built a VS Code extension to import multiple components at once 🚀 No more: import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import { Card } from "@/components/ui/card" Just select what you need, done ✨

If you use Next.js + @shadcn/ui, you know the pain of importing components one by one. As a lazy dev, I built a VS Code extension to import multiple components at once 🚀 No more: import { Button } from "@/components/ui/button" import { Input } from "@/components/ui/input" import { Card } from "@/components/ui/card" Just select what you need, done ✨

Suraj Jha

48,354 просмотров • 7 месяцев назад

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangChain LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

30,557 просмотров • 8 месяцев назад

💡 We just published a canary release of Expo DOM components ("use dom") so you can try it early and give us feedback for SDK 52! Demo app has MDX and shadcn UI with the new charts components ↓

💡 We just published a canary release of Expo DOM components ("use dom") so you can try it early and give us feedback for SDK 52! Demo app has MDX and shadcn UI with the new charts components ↓

Evan Bacon 🥓

113,959 просмотров • 1 год назад

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

85,329 просмотров • 1 месяц назад

1️⃣ - When a UI library gets popular, every app starts to look the same. How do we solve this? Introducing Styles. A new approach for shipping UI components. Start with Radix UI and Tailwind CSS. Add a style, including shapes, icons & animations. Apply your colors. ⬇️

1️⃣ - When a UI library gets popular, every app starts to look the same. How do we solve this? Introducing Styles. A new approach for shipping UI components. Start with Radix UI and Tailwind CSS. Add a style, including shapes, icons & animations. Apply your colors. ⬇️

shadcn

531,717 просмотров • 3 лет назад

Microsoft 🤝 AG-UI Protocol Microsoft Agent Framework is now AG-UI compatible! 🎉 Connect your MS Agent Framework .NET agents into fullstack applications with Python coming soon 👀 MS Agent Framework takes care of the agentic backend, AG-UI connects your agents to the frontend. Features include: - Chat UI - Generative UI - State synchronization - Human-in-the-loop - Frontend Tool Calls All the building blocks you need to take your agents from the backend and into a fullstack agentic application. Available in React & Angular via CopilotKit, and Rust, Kotlin, Rust, Java and .NET via community SDKs Big shoutout to the Microsoft & CopilotKit teams, who shipped this highly requested integration at breakneck speeds. More coming soon 👀 🙏 Javier Nelson, Joonseok Oh, Daniel Roth, Evan Mattson, Tyler Slaton, Brandon McConnell, Markus Ecker Read more about our collaboration: Get started: Check out the Dojo:

Microsoft 🤝 AG-UI Protocol Microsoft Agent Framework is now AG-UI compatible! 🎉 Connect your MS Agent Framework .NET agents into fullstack applications with Python coming soon 👀 MS Agent Framework takes care of the agentic backend, AG-UI connects your agents to the frontend. Features include: - Chat UI - Generative UI - State synchronization - Human-in-the-loop - Frontend Tool Calls All the building blocks you need to take your agents from the backend and into a fullstack agentic application. Available in React & Angular via CopilotKit, and Rust, Kotlin, Rust, Java and .NET via community SDKs Big shoutout to the Microsoft & CopilotKit teams, who shipped this highly requested integration at breakneck speeds. More coming soon 👀 🙏 Javier Nelson, Joonseok Oh, Daniel Roth, Evan Mattson, Tyler Slaton, Brandon McConnell, Markus Ecker Read more about our collaboration: Get started: Check out the Dojo:

CopilotKit🪁

40,513 просмотров • 7 месяцев назад