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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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CopilotKit🪁

7,900 subscribers

32,118 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Csaba Kissi
Csaba Kissi1 год назад

Awesome news! Good luck guys!

Фото профиля Arindam Majumder 𝕏
Arindam Majumder 𝕏1 год назад

Amazing Work Team!

Фото профиля Akshay 🚀
Akshay 🚀1 год назад

This is amazing! Thanks for sharing!

Фото профиля Avi Chawla
Avi Chawla1 год назад

This is great! Can't wait to try this out.

Фото профиля Caleb John
Caleb John1 год назад

Let’s gooo

Фото профиля Josue
Josue1 год назад

do you like it @vykthur ?

Фото профиля Michael 🥶 Cold Outreach
Michael 🥶 Cold Outreach1 год назад

I have to try this out!

Фото профиля Chirag Aggarwal
Chirag Aggarwal1 год назад

amazingg!

Фото профиля Pheonix Coder
Pheonix Coder1 год назад

Less go 🔥🔥

Фото профиля Akash Jana
Akash Jana1 год назад

On my way to try it out! Let's go ✨

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🚀Launching CoAgents Public Beta 🪁: Everything you need to build Agent-Native applications, powered by LangGraph & CopilotKit. CoAgents enables in-app agents with: - Agenetic generative UI ✨ - Shared state (between agent application) - Streaming intermediate agent state - Human-in-the-Loop (Human approval & planning) 👨‍🦰 - Frontend Actions 💪 --- We’ve recently seen the emergence of Agent-Native applications that actually work: powered by vertical AI agents + agentic UX + deep in-app integration. (Apps like the Replit AI Agent, OpenAI Canvas, etc, but for any domain) With CoAgents + LangGraph, you can build this next generation of agent apps, for any vertical, with a clean and easy to use infrastructure (in hours). 💻Get started: 🗞️Blog: 🕹️Demo: 🗓️Webinar (Build an Agent-Native Apps with CoAgents & LangGraph): CC: Atai Barkai, , Harrison Chase
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🚀Launching CoAgents Public Beta 🪁: Everything you need to build Agent-Native applications, powered by LangGraph & CopilotKit. CoAgents enables in-app agents with: - Agenetic generative UI ✨ - Shared state (between agent application) - Streaming intermediate agent state - Human-in-the-Loop (Human approval & planning) 👨‍🦰 - Frontend Actions 💪 --- We’ve recently seen the emergence of Agent-Native applications that actually work: powered by vertical AI agents + agentic UX + deep in-app integration. (Apps like the Replit AI Agent, OpenAI Canvas, etc, but for any domain) With CoAgents + LangGraph, you can build this next generation of agent apps, for any vertical, with a clean and easy to use infrastructure (in hours). 💻Get started: 🗞️Blog: 🕹️Demo: 🗓️Webinar (Build an Agent-Native Apps with CoAgents & LangGraph): CC: Atai Barkai, , Harrison Chase

CopilotKit🪁

51,637 просмотров • 1 год 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
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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

CopilotKit🪁

17,150 просмотров • 1 год назад

🚀Excited to Introduce Coagents🚀: An innovative framework for building human-in-the-loop agents into applications - powered by LangGraph & CopilotKit. Coagents enable: - End-users to correct agent steps (in-app)🛤️ - Stream intermediate agent state 🪢 - Expose LangGraph agents as specialized skills for an app's copilot 🧠 --- Human-in-the-loop is key to taking agents from cool demos to actually useful tools. Coagents, in combination with LangGraph are a big step towards making in-app, human-in-the-loop agents trivially easy to develop. Check out the first ever demo of Coagents, an AI Children's book generator 👇 Coagents will be entirely open-sourced. Interested in contributing/early access? CC: , shadcn, Harrison Chase, Lance Martin, Ariel Weinberger
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🚀Excited to Introduce Coagents🚀: An innovative framework for building human-in-the-loop agents into applications - powered by LangGraph & CopilotKit. Coagents enable: - End-users to correct agent steps (in-app)🛤️ - Stream intermediate agent state 🪢 - Expose LangGraph agents as specialized skills for an app's copilot 🧠 --- Human-in-the-loop is key to taking agents from cool demos to actually useful tools. Coagents, in combination with LangGraph are a big step towards making in-app, human-in-the-loop agents trivially easy to develop. Check out the first ever demo of Coagents, an AI Children's book generator 👇 Coagents will be entirely open-sourced. Interested in contributing/early access? CC: , shadcn, Harrison Chase, Lance Martin, Ariel Weinberger

CopilotKit🪁

69,301 просмотров • 1 год 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 👇
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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

📋 Open Multi-Agent Canvas Plug-in any LangGraph agents, then chat with them. Including Generative UI, state streaming, and automatic agent routing. New template for learning how to add frontend features to LangGraph agents. Try it out: LangChain
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📋 Open Multi-Agent Canvas Plug-in any LangGraph agents, then chat with them. Including Generative UI, state streaming, and automatic agent routing. New template for learning how to add frontend features to LangGraph agents. Try it out: LangChain

CopilotKit🪁

15,492 просмотров • 1 год назад

Building Fullstack LangGraph AI agents can be a challenge. So I wrote a tutorial on how to build a Frontend for your LangGraph AI agent in minutes using: - @LangChainAI - CopilotKit🪁 - Tavily Here is the demo + checkout tutorial link below 👇
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Building Fullstack LangGraph AI agents can be a challenge. So I wrote a tutorial on how to build a Frontend for your LangGraph AI agent in minutes using: - @LangChainAI - CopilotKit🪁 - Tavily Here is the demo + checkout tutorial link below 👇

Bonnie

23,999 просмотров • 1 год назад

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.
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Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,109 просмотров • 1 год назад

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🚀 Introducing LangGraph Cloud 🚀 LangGraph helps you build reliable agents that actually work. Today, we've launched LangGraph Cloud, our new infrastructure to run fault-tolerant LangGraph agents at scale. With LangGraph Cloud, you can: • Handle large workloads with horizontally-scaling servers, task queues, and built-in persistence • Debug agent failure modes and iterate quickly in a visual playground-like studio • Deploy in one-click and get integrated tracing & monitoring in LangSmith This builds on LangGraph v0.1, our latest stable release supporting diverse control flows - whether it's single- or multi-agent, hierarchal or sequential. You'll be able to create flexible agents with human-in-the-loop collaboration and first-class streaming support. We can't wait to see the agentic workflows you'll ship. LangGraph Cloud is available in closed beta today. 👉 Join the waitlist for LangGraph Cloud: ✍️ Read our blog post announcement: 📽️ Watch the video walkthrough: 🌀 Haven't tried LangGraph yet? Give it a spin here: 🙌 Check out the new LangGraph landing page:

LangChain

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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. Today, we have reliable tools to create decent agentic workflows. 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? This is where I would like to introduce CoAgents by CopilotKit🪁, they offer all the essential building blocks for full-stack agentic apps. The best part, they're completely open-source with an MIT Licence ✨ (link to their GitHub repo in the next tweet) The latest updates to CoAgents include: ↳ Human-in-the-loop: Real-time human approvals. ↳ LangGraph integration: Supports LG Studio, Platform, and self-hosted. ↳ Agentic UI: Agents generate UI components dynamically. ↳ Predictive state updates: Preview upcoming changes. ↳ Enhanced documentation: Clear, step-by-step guidance. The video below showcases a full-stack Travel Planner app built in 20 minutes using CoAgents. Impressive, right? Big thanks to CopilotKit for partnering on today's post and showing what's possible with their powerful Agent-development framework.

Akshay 🚀

90,819 просмотров • 1 год назад

🦜🤖Introducing Open Agent Platform An open-source, no-code agent building platform. OAP enables non-developers to build highly customizable agents, which connect to: - 🛠️MCP Tools - 📄LangConnect for RAG - 🤖Other LangGraph Agents! Try the public demo, or fork & customize it yourself! 🧵
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🦜🤖Introducing Open Agent Platform An open-source, no-code agent building platform. OAP enables non-developers to build highly customizable agents, which connect to: - 🛠️MCP Tools - 📄LangConnect for RAG - 🤖Other LangGraph Agents! Try the public demo, or fork & customize it yourself! 🧵

LangChain

136,945 просмотров • 1 год назад

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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Akshay 🚀

27,153 просмотров • 1 год назад

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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🪁

40,486 просмотров • 6 месяцев назад

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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

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33,192 просмотров • 11 месяцев назад

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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 👇

CopilotKit🪁

20,309 просмотров • 17 дней назад

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!
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New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

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151,484 просмотров • 2 лет назад

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CopilotKit🪁

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29,803 просмотров • 5 дней назад

⭐️ New LangChain Academy Course: LangGraph Essentials (Python & TypeScript)⭐️ Learn the basics of LangGraph – our low-level orchestration framework purpose-built for building AI agents. Last week, we launched LangGraph 1.0, marking its first major stable release. LangGraph allows you to control every step of your agent’s workflow. It supports memory, human-in-the-loop interactions, and durable execution for managing long-running tasks. In this quickstart course, you'll learn how to: - Create simple workflows and build an agent - Use LangGraph’s core building blocks: State, Nodes, and Edges - Add memory to your agent - Incorporate human-in-the-loop interactions Enroll for free ➡️
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⭐️ New LangChain Academy Course: LangGraph Essentials (Python & TypeScript)⭐️ Learn the basics of LangGraph – our low-level orchestration framework purpose-built for building AI agents. Last week, we launched LangGraph 1.0, marking its first major stable release. LangGraph allows you to control every step of your agent’s workflow. It supports memory, human-in-the-loop interactions, and durable execution for managing long-running tasks. In this quickstart course, you'll learn how to: - Create simple workflows and build an agent - Use LangGraph’s core building blocks: State, Nodes, and Edges - Add memory to your agent - Incorporate human-in-the-loop interactions Enroll for free ➡️

LangChain

53,969 просмотров • 7 месяцев назад

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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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.

Atai Barkai

325,035 просмотров • 1 месяц назад

🚀 Excited to launch - THE hottest AI Engineering job board for positions with the hottest tech stacks for 2025! Built this to support my LangChain , LangGraph and Cursor course students and AI community in finding AI engineering roles. Positions Implementing Agents🤖 and RAG systems 🤯 One pattern I've noticed: EVERY AI engineering position mentions the same stack: - LangChain🦜🔗 - LangGraph 🦜🕸️ - LangSmith🦜 🛠️ # The crazy part? THIS WAS ALL BUILT USING ENGLISH with Cursor . Disclaimer: I DO NOT KNOW FRONTEND, NOT HTML, NOT CSS, NOT JS. I AM A BACKEND DEV (well an ai engineer now) Tech Stack Breakdown: (Will be diving deep in future posts and videos on my workflows) ▪️ Next.js on Vercel ▪️ UI prototyped with v0 ▪️ Built entirely with Cursor (cursor rules, composer, cursor agent, bug finder, documentation indexing) ▪️ Firebase for auth & Firestore database ▪️ Job Submission: Firecrawl 🔥 for scraping public job postings, LangChain JS 🦜🔗 for entity extraction (Tracing with LangSmith) Why should you care? - 100% Free - Focused solely on AI Engineering - Curated positions - Clean, modern interface - Auto-parsing of job details While I can't guarantee job placements, I am trying to bridge between talented engineers and exciting AI opportunities. The market is HOT, and the time is NOW! 🌟 Would love your feedback! Check it out at and let me know what you think! 🙏
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🚀 Excited to launch - THE hottest AI Engineering job board for positions with the hottest tech stacks for 2025! Built this to support my LangChain , LangGraph and Cursor course students and AI community in finding AI engineering roles. Positions Implementing Agents🤖 and RAG systems 🤯 One pattern I've noticed: EVERY AI engineering position mentions the same stack: - LangChain🦜🔗 - LangGraph 🦜🕸️ - LangSmith🦜 🛠️ # The crazy part? THIS WAS ALL BUILT USING ENGLISH with Cursor . Disclaimer: I DO NOT KNOW FRONTEND, NOT HTML, NOT CSS, NOT JS. I AM A BACKEND DEV (well an ai engineer now) Tech Stack Breakdown: (Will be diving deep in future posts and videos on my workflows) ▪️ Next.js on Vercel ▪️ UI prototyped with v0 ▪️ Built entirely with Cursor (cursor rules, composer, cursor agent, bug finder, documentation indexing) ▪️ Firebase for auth & Firestore database ▪️ Job Submission: Firecrawl 🔥 for scraping public job postings, LangChain JS 🦜🔗 for entity extraction (Tracing with LangSmith) Why should you care? - 100% Free - Focused solely on AI Engineering - Curated positions - Clean, modern interface - Auto-parsing of job details While I can't guarantee job placements, I am trying to bridge between talented engineers and exciting AI opportunities. The market is HOT, and the time is NOW! 🌟 Would love your feedback! Check it out at and let me know what you think! 🙏

Eden Marco

21,894 просмотров • 1 год назад