Unlock the power of AI agents with the seamless integration of CrewAI's multi-agent orchestration and CopilotKit's frontend tools. This collaboration empowers developers to build more dynamic, intelligent AI agents that enhance user engagement and streamline workflows.
At CrewAI, we're committed to continually enhancing our platform to provide developers with powerful tools for building collaborative AI systems. Our recent integration with CopilotKit marks a significant milestone in this journey, offering a seamless blend of CrewAI's multi-agent orchestration with CopilotKit's intuitive frontend components.
CopilotKit is an open-source framework that enables developers to seamlessly integrate AI copilots into applications, enhancing user experiences through intelligent assistance. It provides tools to build custom AI chatbots, in-app AI agents, and AI-powered text areas, all tailored to specific application needs.
The collaboration between CrewAI and CopilotKit exemplifies our dedication to providing developers with versatile and robust tools for AI application development. This integration not only streamlines the process of building agentic frontends but also enriches user interactions through advanced features like HITL and predictive state updates.
By combining CrewAI's strengths in agent orchestration with CopilotKit's frontend capabilities, developers can craft applications that are both intelligent and user-centric.
To leverage the combined power of CrewAI and CopilotKit, developers can follow our comprehensive guides and documentation. These resources provide step-by-step instructions on setting up the integration, utilizing new features, and best practices for building sophisticated AI-driven applications.
So if you're already building with CrewAI, you'll be able to put a CopilotKit interface on top of that very quickly. And if you're new to both CrewAI and CopilotKit, we've got some demos that should make it really easy for you to get up and running building a CopilotKit CrewAI agent quickly. We're looking forward to seeing what you build and can't wait to help out if you have any questions.
Manage the full AI agent lifecycle — build, test, deploy, and scale — with a visual editor and ready-to-use tools.
All the power of AMP Cloud, deployed securely on your own infrastructure — on-prem or private VPCs in AWS, Azure, or GCP
An open-source orchestration framework with high-level abstractions and low-level APIs for building complex, agent-driven workflows.