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🚀 Introducing Open Tag A better, open-source Claude Tag. Works with any model, any agent harness, and fully custom agents. Bring any Agent to Slack, MS Teams with Generative UI, Streaming, and much more! Clone the repo and get it running in minutes Powered by the Channels SDK & AG-UI

CopilotKit🪁

14,013 subscribers

198,788 görüntüleme • 1 ay önce •via X (Twitter)

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CopilotKit🪁 profil fotoğrafı

CopilotKit🪁1 ay önce

This is the second iteration of OpenTag. Now completely rearchitected and MUCH easier to get started with. Powered by the Channels SDK. Clone it and get started in minutes

AI Mastery Guide profil fotoğrafı

AI Mastery Guide1 ay önce

Open source and works with any model, that's a solid combo.

Anmol profil fotoğrafı

Anmol1 ay önce

super sick. love the demo!!

Aria Tech profil fotoğrafı

Aria Tech1 ay önce

Any model any agent in Slack and Teams this rocks

CopilotKit🪁 profil fotoğrafı

CopilotKit🪁1 ay önce

@AriaTechCollab Exactly! More channels coming soon... WhatsApp, Discord, Telegram, SMS etc

Jerel Velarde profil fotoğrafı

Jerel Velarde1 ay önce

The ✨FASTEST✨ way to deploy your agent on slack

Jerel Velarde profil fotoğrafı

Jerel Velarde1 ay önce

We just launched OpenTag!

Eli Berman🪁 profil fotoğrafı

Eli Berman🪁1 ay önce

Lfgg open source claude tag

安叫兽|Bird🕊️ 🔶 BNB profil fotoğrafı

安叫兽|Bird🕊️ 🔶 BNB1 ay önce

开源版能接任意代理这点挺实用

Tyler Slaton profil fotoğrafı

Tyler Slaton1 ay önce

Really pumped for this launch 😄

Markus Ecker profil fotoğrafı

Markus Ecker1 ay önce

Really nice to see this out. OpenTag makes it easy to connect almost any agent to Slack or Teams, without being tied to one model or harness.

Sani Ai Tech profil fotoğrafı

Sani Ai Tech1 ay önce

Great open-source move making agent communication more flexible across platforms

Anurag Dhingra profil fotoğrafı

Anurag Dhingra1 ay önce

Can we connect our custom skills and manage credentials required by these skills with OpenTag?

Vivek Nayyar profil fotoğrafı

Vivek Nayyar1 ay önce

How do we deploy this on our own aws?

Elara AI profil fotoğrafı

Elara AI1 ay önce

Open Tag brings agents to Slack and Teams with streaming

Isabella White profil fotoğrafı

Isabella White1 ay önce

looks like a game changer for custom agents and integrations

Cyprian Aarons profil fotoğrafı

Cyprian Aarons1 ay önce

This team is shipping rn!

Artificial Intelligence Disrespecter 🤖 ❌ profil fotoğrafı

Artificial Intelligence Disrespecter 🤖 ❌1 ay önce

Channel based? Works with AWS bedrock ?

Y11 profil fotoğrafı

Y111 ay önce

@grok 这个纯研究还是有工业意义，具体工业场景视角看意义是什么，有开源数据集或者开源项目代码吗？从多个数据源交叉验证，不要只看新闻媒体一面之辞。帮我排除没意义的垃圾商业营销推广、诈骗以及自吹自擂，自嗨，无病呻吟。

Benzer Videolar

Introducing Open Tag. A better, open-source Claude Tag. Works with any model, any agent harness, and fully custom agents. Supports → Generative UI → Streaming replies → Human in the Loop approvals → Full thread context Slack and MS Teams today. Discord, Google Chat, WhatsApp soon. Request early access:

Introducing Open Tag. A better, open-source Claude Tag. Works with any model, any agent harness, and fully custom agents. Supports → Generative UI → Streaming replies → Human in the Loop approvals → Full thread context Slack and MS Teams today. Discord, Google Chat, WhatsApp soon. Request early access:

Atai Barkai

447,965 görüntüleme • 3 ay önce

Launching the 𝙾𝚙𝚎𝚗 𝚃𝚊𝚐 repo. A better, open-source Claude Tag. With support for Generative UI, Human in the Loop, Streaming replies, and Full threads context. The same agent runs in MS Teams, Discord, Telegram, and WhatsApp. Get started in minutes:

Launching the 𝙾𝚙𝚎𝚗 𝚃𝚊𝚐 repo. A better, open-source Claude Tag. With support for Generative UI, Human in the Loop, Streaming replies, and Full threads context. The same agent runs in MS Teams, Discord, Telegram, and WhatsApp. Get started in minutes:

Atai Barkai

55,410 görüntüleme • 2 ay önce

Claude Managed Agents 🤝 AG-UI Anthropic just shipped a full AG-UI integration, so you can bring your Managed Agent to any AG-UI frontend with: - Generative UI - Streaming - Tool calls - Stateful sessions Includes React & React Native, Next.js, Angular as well as Slack, Teams and more via the Channels SDK. All open source. Great collaborating with CJ Avilla from Anthropic on this! Check the blog for repos:

Claude Managed Agents 🤝 AG-UI Anthropic just shipped a full AG-UI integration, so you can bring your Managed Agent to any AG-UI frontend with: - Generative UI - Streaming - Tool calls - Stateful sessions Includes React & React Native, Next.js, Angular as well as Slack, Teams and more via the Channels SDK. All open source. Great collaborating with CJ Avilla from Anthropic on this! Check the blog for repos:

Atai Barkai

34,372 görüntüleme • 1 ay önce

🚀 Introducing the 𝙲𝚑𝚊𝚗𝚗𝚎𝚕𝚜 𝚂𝙳𝙺 Bring any Agent to any Channel. Slack, MS Teams, WhatsApp, and more. A significant jump from the state of the art across every dimension. With support for: → Generative UI → Streaming replies → User-based auth → Per-user learning Try it live: GitHub:

🚀 Introducing the 𝙲𝚑𝚊𝚗𝚗𝚎𝚕𝚜 𝚂𝙳𝙺 Bring any Agent to any Channel. Slack, MS Teams, WhatsApp, and more. A significant jump from the state of the art across every dimension. With support for: → Generative UI → Streaming replies → User-based auth → Per-user learning Try it live: GitHub:

Atai Barkai

333,971 görüntüleme • 1 ay önce

🎉 Introducing 𝙾𝚙𝚎𝚗 𝙱𝚘𝚝 An open source Grok Bot that works with ANY agent harness, designed for real companies. It includes: - AI Coworkers - Generative UI - Computer use (remote/local) - Agent-human handoffs - Full data recording, owned by you Repo → We're using this internally at CopilotKit🪁 and it's changing the way we work forever. Powered by CopilotKit and AG-UI. More info below 👇

🎉 Introducing 𝙾𝚙𝚎𝚗 𝙱𝚘𝚝 An open source Grok Bot that works with ANY agent harness, designed for real companies. It includes: - AI Coworkers - Generative UI - Computer use (remote/local) - Agent-human handoffs - Full data recording, owned by you Repo → We're using this internally at CopilotKit🪁 and it's changing the way we work forever. Powered by CopilotKit and AG-UI. More info below 👇

Atai Barkai

854,210 görüntüleme • 1 ay önce

🎉 Introducing 𝙾𝚙𝚎𝚗𝙼𝚞𝚜𝚎 An open source, self-hostable personal assistant that works with any agent harness. Includes: - Computer use: browser, terminal & files - Connectors for your personal apps - Ideas, goals & progress tracking - Built for Mobile and Web Repo → Powered by CopilotKit🪁 and AG-UI. Clone this template and customize it however you want.

🎉 Introducing 𝙾𝚙𝚎𝚗𝙼𝚞𝚜𝚎 An open source, self-hostable personal assistant that works with any agent harness. Includes: - Computer use: browser, terminal & files - Connectors for your personal apps - Ideas, goals & progress tracking - Built for Mobile and Web Repo → Powered by CopilotKit🪁 and AG-UI. Clone this template and customize it however you want.

Atai Barkai

1,032,916 görüntüleme • 2 gün önce

Introducing morph: a fully open-source AI-powered answer engine with a generative UI. Built with Vercel AI SDK, it delivers awesome streaming results. 👇 More details

Introducing morph: a fully open-source AI-powered answer engine with a generative UI. Built with Vercel AI SDK, it delivers awesome streaming results. 👇 More details

Yoshiki Miura

484,775 görüntüleme • 2 yıl önce

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

24,891 görüntüleme • 3 ay önce

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:

Introducing 𝙾𝚙𝚎𝚗 𝚃𝚎𝚊𝚌𝚑 Better Claude Teach that works with any agent, any model, and with your own data. Features: -> Embed Open Teach into your own custom agents -> Learn from in-browser activity and from agent interactions -> Self-hosted for full data sovereignty -> Future proof and cross-stack Get early access:

Atai Barkai

38,882 görüntüleme • 2 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.

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

123,983 görüntüleme • 5 ay önce

This is one of those abstractions that makes perfect sense once you see it. Write your AI agent once. Run it across Slack, Microsoft Teams, and every messaging platform that follows. That's exactly what CopilotKit's open-source Channels SDK does for any AG-UI agent. Instead of maintaining separate bots for every platform, you connect your agent once and let the SDK handle the channel-specific integration.

This is one of those abstractions that makes perfect sense once you see it. Write your AI agent once. Run it across Slack, Microsoft Teams, and every messaging platform that follows. That's exactly what CopilotKit's open-source Channels SDK does for any AG-UI agent. Instead of maintaining separate bots for every platform, you connect your agent once and let the SDK handle the channel-specific integration.

Pratham

16,216 görüntüleme • 1 ay önce

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 🚀

87,048 görüntüleme • 4 ay önce

Introducing OPEN SOURCE Claude Tag – Kortix Tag! - Works with any model. BYOK. - 3000+ Integrations with secure execution model - 100% configurable & extensible, opencode based. Stores config, memory, agents, skills & context in git - Enterprise-ready, private, secure.

Introducing OPEN SOURCE Claude Tag – Kortix Tag! - Works with any model. BYOK. - 3000+ Integrations with secure execution model - 100% configurable & extensible, opencode based. Stores config, memory, agents, skills & context in git - Enterprise-ready, private, secure.

Marko Kraemer

43,861 görüntüleme • 2 ay önce

Another blow to Anthropic! They spent months building what's now fully open-source. Anthropic recently put Claude inside Slack, where you can tag it in a channel. It reads the thread, breaks the task into steps, and posts the result back. The problem is that it only runs Claude and only in the channels Anthropic supports. Running your own agent there is harder. The reasoning, tool calls, and state management are mostly handled by the framework. Connecting that agent to a messaging platform is not. Moreover, each platform has a different integration: - Slack renders messages with Block Kit - Teams uses Adaptive Cards - and each has its own SDK, auth flow, and delivery model. If an agent needs to run on three platforms, one must write three separate integrations against the same agent logic. That overhead explains why most custom agents never get deployed to Slack, and why the ones that do are usually a single vendor's hosted assistant. The alternative is to keep the agent in one place and add a per-platform adapter that translates its output into each platform's native format. The agent is written once, and each channel requires just another output target instead of a separate build. CopilotKit open-sourced this full implementation in the Channels SDK. Essentially, any agent that implements AG-UI can run in a messaging platform in a few lines of code, like Slack, Teams, Discord, WhatsApp, and many more. Because the agent runs inside the thread, it has that conversation's context, so it can summarize the discussion, open a ticket, or route to the right person. It works with any backend, so LangGraph, CrewAI, Mastra, Google ADK, or a plain HTTP agent can connect through an existing endpoint. The same message can render as a Block Kit in Slack and as Adaptive Cards in Teams. In practice, the model and orchestration stay the same; it requires no migration or rewrite. It also handles human-in-the-loop approvals, persistence, and transcripts that carry state across platforms, so a thread started in Teams can continue in Slack. CopilotKit is open-source, and AG-UI is supported across every major agent framework, including LangGraph, CrewAI, Mastra, and Google ADK. Here's the repo: (don't forget to star it ⭐) The agent running in Slack no longer has to be a vendor's. It can be the one you already built. The video below shows this in action. Thanks to CopilotKit for working with me on this launch.

Another blow to Anthropic! They spent months building what's now fully open-source. Anthropic recently put Claude inside Slack, where you can tag it in a channel. It reads the thread, breaks the task into steps, and posts the result back. The problem is that it only runs Claude and only in the channels Anthropic supports. Running your own agent there is harder. The reasoning, tool calls, and state management are mostly handled by the framework. Connecting that agent to a messaging platform is not. Moreover, each platform has a different integration: - Slack renders messages with Block Kit - Teams uses Adaptive Cards - and each has its own SDK, auth flow, and delivery model. If an agent needs to run on three platforms, one must write three separate integrations against the same agent logic. That overhead explains why most custom agents never get deployed to Slack, and why the ones that do are usually a single vendor's hosted assistant. The alternative is to keep the agent in one place and add a per-platform adapter that translates its output into each platform's native format. The agent is written once, and each channel requires just another output target instead of a separate build. CopilotKit open-sourced this full implementation in the Channels SDK. Essentially, any agent that implements AG-UI can run in a messaging platform in a few lines of code, like Slack, Teams, Discord, WhatsApp, and many more. Because the agent runs inside the thread, it has that conversation's context, so it can summarize the discussion, open a ticket, or route to the right person. It works with any backend, so LangGraph, CrewAI, Mastra, Google ADK, or a plain HTTP agent can connect through an existing endpoint. The same message can render as a Block Kit in Slack and as Adaptive Cards in Teams. In practice, the model and orchestration stay the same; it requires no migration or rewrite. It also handles human-in-the-loop approvals, persistence, and transcripts that carry state across platforms, so a thread started in Teams can continue in Slack. CopilotKit is open-source, and AG-UI is supported across every major agent framework, including LangGraph, CrewAI, Mastra, and Google ADK. Here's the repo: (don't forget to star it ⭐) The agent running in Slack no longer has to be a vendor's. It can be the one you already built. The video below shows this in action. Thanks to CopilotKit for working with me on this launch.

Akshay 🚀

243,930 görüntüleme • 1 ay önce

Stop leaving your Agent stateless. Give it Threads in one hook. Resumable conversations that capture everything: messages, generative UI, shared state, human-in-the-loop workflows. Built on AG-UI, so it works with any compatible agent framework. docs:

Stop leaving your Agent stateless. Give it Threads in one hook. Resumable conversations that capture everything: messages, generative UI, shared state, human-in-the-loop workflows. Built on AG-UI, so it works with any compatible agent framework. docs:

Atai Barkai

41,134 görüntüleme • 4 ay önce

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 > 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 > LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

31,845 görüntüleme • 11 ay önce

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Introducing Claude agents in Notion. Your task board is Claude’s to-do list. Anthropic runs the model and the agent harness. Notion is the orchestration layer: context, UI, and a shared place for teams to review and ship, and kick off Claude workflows. Join the waitlist:

Notion

495,433 görüntüleme • 5 ay önce

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 görüntüleme • 7 ay önce