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We've raised $27M to build CopilotKit🪁 — the Agentic Frontend Stack connecting humans & agents. Because all UI will be AI. Co-led by Glilot Capital, NfX and SignalFire.

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Atai Barkai

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329,899 görüntüleme • 2 ay önce •via X (Twitter)

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Introducing CoAgents v0.2🪁🦜🚀 Build full-stack Agent-Native Apps with LangGraph 🤝 CopilotKit (Like Cursor for __) Including: ✨Agentic UI/UX + Frontend 🪢 Shared state (agent app) 👨‍🦰Human-in-the-Loop 🦜Full LangGraph Platform support (Python, JS, Cloud) Get Started: Check out the demo:

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🪁🦜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

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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 👇

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Don't just learn how to build AI agents. Instead, learn how to build... ...full-stack AI agents that actually work inside apps. Yet, the main challenge is transitioning them from local setups to user-facing apps. Here are some key factors to consider: - How do you embed a seamless UI? - How do you enable user control when necessary? - How do you unify the agent’s state and actions with the app? CoAgents by CopilotKit🪁 solves this. It is the only framework that offers all the essential Agentic front-end building blocks to set up full-stack agentic apps. And most recently, they have extended full-stack development support to Agents built with CrewAI ✨. This includes both regular Agentic Crews and Flows. Check their GitHub repo it's 100% open-source, I have shared link in the next tweet! With this update, here's what you can do with Agents built using CrewAI: ↳ Chat: Add chat components for interaction. ↳ Human-in-the-loop: Real-time human approvals. ↳ Predictive state updates: Preview upcoming changes. ↳ Agentic UI: Agents generate UI components dynamically. This way, you can give your CrewAI Agents a frontend brain—so they don’t just work behind the scenes, they become an integral part of the user experience. The video below showcases a full-stack CrewAI Agent built in 20 minutes using CoAgents. Impressive, right?
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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:

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