Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

your agent has left the chat. > generate your user interface > interact with the generated interface all the benefits of interactive visual interfaces with all the power of ai agents. build an agent that can speak your ui. it's open source. link 👇

mrmagan_'s profile picture

Michael Magán

3,776 subscribers

10,737 görüntüleme • 5 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

your app's UI has entered the chat. just register your UI components and your APIs. build an agent that speaks your interface in minutes 👇
0:52

your app's UI has entered the chat. just register your UI components and your APIs. build an agent that speaks your interface in minutes 👇

Michael Magán

105,895 görüntüleme • 5 ay önce

Say goodbye to the ugly chat UI of your AI Agents! 👋 I've built a workflow with instructions to give all your n8n AI Agents a ChatGPT-like chat interface. Download the workflow, required files, and instructions for free (link in comment).
1:20

Say goodbye to the ugly chat UI of your AI Agents! 👋 I've built a workflow with instructions to give all your n8n AI Agents a ChatGPT-like chat interface. Download the workflow, required files, and instructions for free (link in comment).

Victor

27,101 görüntüleme • 1 yıl önce

build an agent that speaks your UI. your charts. your forms. your seat maps. multi-turn, streaming, interactive. introducing tambo 1.0, the open-source generative UI toolkit for react.
1:11

build an agent that speaks your UI. your charts. your forms. your seat maps. multi-turn, streaming, interactive. introducing tambo 1.0, the open-source generative UI toolkit for react.

Michael Magán

261,722 görüntüleme • 5 ay önce

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.
0:25

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,675 görüntüleme • 3 ay önce

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:
0:45

Introducing LangSmith Agent Builder 🤖🧱 A true agent building experience (not workflows!!), all through a simple natural language interface. Describe your agent to "build" it, then interact with it via chat, or add an automatic trigger. Connect your agents to any MCP server, or use our builtin tools. These agents also come with builtin memory, so they can optimize themselves over time, both ambiently, and from user feedback! Sign up for the waitlist today:

Brace

30,846 görüntüleme • 9 ay önce

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎
0:23

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

14,600 görüntüleme • 8 gün önce

All UI will become AI This is THE article you'll need give your agents a frontend. Agent-user collaboration is the future, see below 👇
0:37

All UI will become AI This is THE article you'll need give your agents a frontend. Agent-user collaboration is the future, see below 👇

Atai Barkai

498,689 görüntüleme • 2 ay önce

Introducing - Custom agents! Build on our agentic harness to embed your personal expertise and trading strategies into a custom agent Coming soon, community agents > Create and refine your agents > Deploy the agent into the workforce > Other users can "hire" your agent
0:25

Introducing - Custom agents! Build on our agentic harness to embed your personal expertise and trading strategies into a custom agent Coming soon, community agents > Create and refine your agents > Deploy the agent into the workforce > Other users can "hire" your agent

tread.fi

26,821 görüntüleme • 21 gün önce

This is the future of UI. I built an AI chat that changes its own visual shape and form as you talk. The AI invents the perfect user interface to fulfill your needs and guide you to the desired result. Try for free.
0:26

This is the future of UI. I built an AI chat that changes its own visual shape and form as you talk. The AI invents the perfect user interface to fulfill your needs and guide you to the desired result. Try for free.

Florian S

158,000 görüntüleme • 1 yıl önce

2/8. Enhanced UI/UX: The marketplace v2.0 comes with an enhanced user interface and user experience that ease how users interact with the marketplace.
0:56

2/8. Enhanced UI/UX: The marketplace v2.0 comes with an enhanced user interface and user experience that ease how users interact with the marketplace.

Openfabric AI

87,769 görüntüleme • 2 yıl önce

We built the first open‑source AI glasses with a brain interface They use OmiGlass with an fNIRS chip by Telepathic Technologies They can record your entire day and track your focus or intent This is just the beginning => we will make it awesome All links below
0:56

We built the first open‑source AI glasses with a brain interface They use OmiGlass with an fNIRS chip by Telepathic Technologies They can record your entire day and track your focus or intent This is just the beginning => we will make it awesome All links below

Nik Shevchenko

25,677 görüntüleme • 1 yıl önce

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.
0:23

Anthropic's in trouble, again! They spent years building what's now fully open-source. What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box. For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response. Every major AI product tried to replicate it. But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK. So teams started building an owned version that required engineering the entire interface layer from scratch. Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it. To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run. CopilotKit🪁 is now the only open-source framework that actually lets you build your own full-stack Claude-like apps. It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication). Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice. In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like: - generative UI, so the agent renders real components instead of text - chat windows, sidebars, and popups, or a fully headless setup - shared state, so the agent and app stay in sync - human-in-the-loop approvals, where the agent waits before acting - persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time. The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team. CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more. CopilotKit GitHub repo → (don't forget to star it ⭐ ) If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation. Read it below.

Avi Chawla

457,881 görüntüleme • 2 ay önce

Now everyone can create AI agents. Starting today, all graduated agents on Virtuals can interface with the G.A.M.E. framework to access agentic capabilities. This will move us into an era of agent x agent handshakes. (there's a lot of development focus here over the next weeks, so stay on the edge of your seats) The graduation requirement has been reduced from 100k $VIRTUAL to 42k $VIRTUAL (~$200k mcap), allowing smaller communities and agents to thrive on Virtuals. You never know which one of them might be the next BAYC for agents. Agent-ify any token with the Migration Factory on Virtuals. Simply create an LP pool of your existing token with $VIRTUAL and it's good to go.
0:28

Now everyone can create AI agents. Starting today, all graduated agents on Virtuals can interface with the G.A.M.E. framework to access agentic capabilities. This will move us into an era of agent x agent handshakes. (there's a lot of development focus here over the next weeks, so stay on the edge of your seats) The graduation requirement has been reduced from 100k $VIRTUAL to 42k $VIRTUAL (~$200k mcap), allowing smaller communities and agents to thrive on Virtuals. You never know which one of them might be the next BAYC for agents. Agent-ify any token with the Migration Factory on Virtuals. Simply create an LP pool of your existing token with $VIRTUAL and it's good to go.

Virtuals Protocol

100,237 görüntüleme • 1 yıl önce

Introducing 21st Agent Elements Diffed edits. Plan approvals. Clarifying questions. Sub-agents. Tool cards. The pieces every "agent UI" lib skips. 25 shadcn /ui components built for the new generation of agents that use your computer. Open-source. Link in thread 🧵
0:28

Introducing 21st Agent Elements Diffed edits. Plan approvals. Clarifying questions. Sub-agents. Tool cards. The pieces every "agent UI" lib skips. 25 shadcn /ui components built for the new generation of agents that use your computer. Open-source. Link in thread 🧵

serafim

44,036 görüntüleme • 3 ay önce

Introducing True Markets CLI The fastest way for AI agents to access crypto markets. Give your agent a strategy and watch it place trades, monitor your portfolio, and improve on your strategy in real time - all from the chat interface/terminal. Beta:
0:20

Introducing True Markets CLI The fastest way for AI agents to access crypto markets. Give your agent a strategy and watch it place trades, monitor your portfolio, and improve on your strategy in real time - all from the chat interface/terminal. Beta:

True Markets ⚖️

20,281 görüntüleme • 4 ay önce

We’re excited today to announce Mastra’s Agent Studio: an interactive interface for building and testing your Mastra agents. Now, engineers and product folks can collaborate in the same environment together:
2:07

We’re excited today to announce Mastra’s Agent Studio: an interactive interface for building and testing your Mastra agents. Now, engineers and product folks can collaborate in the same environment together:

Sam Bhagwat

22,150 görüntüleme • 9 ay önce

This is revolutionary, because now you can build any user interface you want to interact with Salesforce. This completely defangs the bear thesis of UI moving elsewhere. $CRM
0:55

This is revolutionary, because now you can build any user interface you want to interact with Salesforce. This completely defangs the bear thesis of UI moving elsewhere. $CRM

Marcelo P. Lima

88,999 görüntüleme • 3 ay önce

Slack/Discord were built for humans messaging humans. That era is ending. We’ve been quietly building type: agent-native team chat. > 1-click OpenClaws that collaborate with your team > UX for agents: tool calls, sessions, streaming > Interactive UI built on the fly
2:12

Slack/Discord were built for humans messaging humans. That era is ending. We’ve been quietly building type: agent-native team chat. > 1-click OpenClaws that collaborate with your team > UX for agents: tool calls, sessions, streaming > Interactive UI built on the fly

Fletcher Richman

90,859 görüntüleme • 5 ay önce

Create dynamic and interactive Agent UI experiences in the Gemini Enterprise app. With support for the Agent-to-UI protocol (A2UI), custom agents can dynamically generate rich, native UI components directly within the Gemini Enterprise app.
0:37

Create dynamic and interactive Agent UI experiences in the Gemini Enterprise app. With support for the Agent-to-UI protocol (A2UI), custom agents can dynamically generate rich, native UI components directly within the Gemini Enterprise app.

Google Cloud

19,318,491 görüntüleme • 2 ay önce