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How To Build Full-Stack AI Agents 🚀 (CrewAI + CopilotKit)
In this article, you will learn how to build a full-stack restaurant finder AI agent that combines human-in-the-loop capabilities using CrewAI, CopilotKit, and Serper.
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Easily Build a UI for Your AI Agent in Minutes (LangGraph + CopilotKit)
In this article, you will learn how to build an agent-native research canvas app that combines human-in-the-loop capabilities using Langraph, CopilotKit, and Tavily.
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Build a RAG Copilot with MongoDB Vector Search & CopilotKit
In this tutorial, we’ll walk you through the process of building an AI-powered RAG Copilot for your product knowledge base using OpenAI API, MongoDB Atlas Vector Search, and CopilotKit.
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Agents 101: How to build your first AI Agent in 30 minutes!
Building your own agent can be complex, and all the concepts, frameworks, and practices you need to follow can be a bit overwhelming. The good news is, that adding agents to your application can be easy and I'll show you how. In this guide, you will learn how to build your first AI agent in just 30 minutes, even if you don't know anything about AI agents.
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Coagents V0.5: The Building Blocks of a Full-Stack Agent
We launched the CoAgents beta a few months ago, and it was a huge success right out of the gate. We've been working with Fortune 100 companies, thousands of individual developers, small teams, and a bunch of design partners. Through all those conversations and real-world use cases, we've identified the core building blocks for building a full-stack agent with LangGraph using CopilotKit.
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Build Your Own Knowledge-Based RAG Copilot
In this tutorial, we’ll walk you through the process of building an AI-powered Copilot for your product knowledge base using Anthropic AI API, Pinecone API, and CopilotKit.
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The New Wave of Agent-Native Apps
We are witnessing the beginning of the most significant transformation in software since cloud and mobile: Agent-Native Applications (ANAs). This shift will fundamentally reshape the SaaS landscape even more rapidly than previous computing revolutions. Tools like LangChain Platform are making it easier than ever to build this new and exciting type of application.
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CoAgents v0.2 release: Build Full-stack Agent Applications with LangGraph & CopilotKit
Agentic Copilots are changing the SaaS landscape faster than any other previous computing revolution. With the latest release from CopilotKit with support for LangGraph JS and LangGraph Platform, it's easier than ever to build human-in-the-loop Agentic Copilots that are production-ready. These powerful tools let any company build the same experiences built by industry leaders like Cursor, Replit, and Github.
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The Agentic Application Stack Explained
The Agentic Application Stack enables AI agents to power applications with autonomy and interactivity, detailing key layers like model serving, storage, tools, frameworks, hosting, and user experience.
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Why I joined CopilotKit: Welcoming CopilotKit's New Head DevRel
Joining CopilotKit is more than just a career move for me—it’s a chance to be part of a transformative time in the tech industry. I’m eager to roll up my sleeves and start working with all of you, the brilliant minds that make this community so special. Together, we’ll build amazing things, break new ground, and shape the future of agentic applications.
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Build a Perplexity Clone with CopilotKit, Tavily & LangGraph
Integrate Agent-Native architecture into your app using CopilotKit, Tavily, and LangGraph.
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Everything You Need To Build Agent-Native Applications (with LangGraph and CoAgents)
CoAgents, the building blocks for the next generation of AI-native apps.
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Buildtime and Runtime Human-in-the-Loop AI (HITL)
How HITL AI systems are bringing AI from demos to production.
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CoAgents: Connecting AI Agents to Realtime Application Context
Discover how CoAgents, in partnership with LangGraph and CopilotKit, are revolutionizing the way AI agents interact within applications by aligning more closely with human input. This blog explores the essential role of human-in-the-loop systems to ensure AI agents perform optimally when they complement human efforts, rather than operating fully autonomously. Key Highlights: Human-AI Collaboration: Understand the significance of connecting AI agents with real-time application contexts to enhance decision-making and task performance. Monitoring and Steering: Learn how end-users can monitor and guide AI agents, ensuring they remain on the right track during operations. Technology Integration: Dive into how integrating CoAgents with LangGraph elevates in-app human-in-the-loop agents, making advanced AI more accessible and effective for developers through CopilotKit. Interactive Agent Features: Explore features such as streaming intermediate agent states for live updates, shared states for collaborative input, and agent-led interactive Q&As to refine operational responses.
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August’s Feature Rollout: Enhanced CopilotKit Capabilities Await! 😎
Stay up to date with our latest monthly release! Discover the newest features, enhancements, and improvements we've rolled out in August to help you get the most out of our product. Dive into the details and see how these updates can benefit your experience.
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🚀 Ceiling is being raised: analyzing our "superhuman code" that broke twitter (and why it's actually good code!)
Explore the transformative impact of AI-enhanced coding with Atai Barkai's blog, which delves into the potent code developed by CopilotKit engineers that stirred considerable buzz on Twitter.
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CopilotKit v1.0 Launch 🚀 GenUI, GraphQL protocol, React SDK hooks
Introducing CopilotKit V1, includes: Generative UI, GraphQL platform enhancements, React SDK hooks & more!
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