6/6 Big props to the CopilotKit🪁 team for making this so accessible. This is exactly the kind of starter template that helps developers actually build things instead of getting stuck in setup hell. Check it out: github.com/CopilotKit/wit… 🚀

Most AI apps today still feel like chatbots. But that’s not where the future is headed. Real AI products need to be agentic. → They need memory. → They need autonomy. → They need to act…inside your app, in real time. We’ve intensively looked into this and written about it,

“Let there be light” ...and the app listens! This demo from blank nails exactly what CopilotKit enables: - LLM interprets user intent - CopilotKit routes it to a frontend tool - The app state updates instantly It’s not prompt engineering. It’s agentic UI. You define

Building fullstack LlamaIndex agent workflows can be a challenge. So I wrote a guide on how to build fullstack LlamaIndex agents using: - LlamaIndex 🦙 - CopilotKit🪁 - AG-UI Protocol Check out the article link below 👇

Build a complete AI stock portfolio agent- from backend logic to real-time UI. In this step-by-step tutorial, Bonnie combines LlamaIndex 🦙 workflows with CopilotKit’s AG-UI protocol to create a fully interactive investment analysis tool: - Multi-step stock analysis-

Build a complete AI stock portfolio agent using our framework integrated with CopilotKit🪁's AG-UI protocol for seamless frontend-backend communication. This comprehensive tutorial shows you how to create a sophisticated investment analysis tool that combines the power of

The look of someone who just saw their AI agent update the UI in real time without rewiring their entire app ⭐️CopilotKit🪁 ⭐️

🔌 𝐆𝐞𝐭 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐌𝐂𝐏 𝐋𝐚𝐮𝐧𝐜𝐡 𝐖𝐞𝐞𝐤! Starting tomorrow, we’ll be rolling out big MCP updates to CopilotKit. Best Client tooling in the ecosystem 💬 New Collaborations 🤝 Something special for the vibe coders 👀 We’ll be sharing something new every day.

🗓️CopilotKit MCP week Some exciting updates, especially for vibe coders 👀

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐌𝐂𝐏 𝐂𝐥𝐢𝐞𝐧𝐭-𝐬𝐢𝐝𝐞 𝐭𝐨𝐨𝐥𝐢𝐧𝐠 🧩 Connect any MCP server directly to your application via your in-app AI assistant Just add MCP servers as endpoints, and let your Copilot use them as tool calls & live context At runtime, CopilotKit will

Are you ready to build fullstack AI agents? I have created a step-by-step guide to help you build fullstack AI agents using: - Agno - CopilotKit🪁 - AG-UI Protocol Check out the step-by-step guide link below 👇

A weekend hack quietly became a go-to feature in our docs... and it hit 300k+ views on X That hack? An MCP client that lets any LLM app (copilots, assistants, etc.) talk to MCP servers without glue code or boilerplate. Nobody else closed the gap, so we polished it up and are

Good news: we just made “vibecodability” a real metric. 📊 Better news: CopilotKit🪁 + Tadata MCP server = 66% faster integrations. Best news: thousands of devs already vibing. Case study in thread 👇

This was fun to put together- a quick tutorial on the new Vibe-Coding MCP Server Powered by Tadata, our latest step forward in making agentic application development 10x faster! In this walkthrough, I cover: - Give coding agents structured access to docs + code examples

What if your coding agents could pull the right docs + code examples automatically? That’s the Vibe-Coding Server