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CopilotKit is a bridge between your app & LLMs. We find the most powerful AI product integrations and turn them into plug & play react components. Growing list of components including CopilotPortal & CopilotTextarea. Open source & fully customizable.
Launched on November 7th, 2024
CopilotKit is an open-source framework designed to simplify the integration of AI copilots into applications, especially those built with React. By providing a range of plug-and-play components—like chat features and text editing tools—CopilotKit enables developers to add powerful AI features without extensive setup. For instance, components like `` and `` help embed chatbot functionality directly into apps, while `` allows for advanced text editing with AI suggestions, making it ideal for productivity tools. CopilotKit stands out due to its flexibility and support for advanced AI capabilities, such as LangChain and LangGraph for task-oriented AI agents, which are particularly useful in complex or interactive applications. Additionally, it includes features like action-based commands and memory, which allow the copilot to act on behalf of users and maintain context across interactions. It is highly customizable, making it accessible to both experienced developers and those new to AI integration. Overall, CopilotKit is a powerful and versatile choice for developers aiming to implement AI-driven functionalities quickly, as it combines ease of use with the depth needed for custom applications. This tool is continually evolving with developer input, making it a valuable resource for companies wanting to add robust AI without lengthy development cycles. For more information, you can explore CopilotKit's official site or documentation on GitHub.
CopilotKit looks like a game-changer for building AI copilots! 🚀 The seamless integration with existing apps and the real-time collaboration features are impressive. This will definitely help developers create more intuitive and powerful AI-driven experiences. Great job to the team! 👏🔥
I use it as part of the integration with Langgraph. Overall the tool improves very quickly. I look forward to what the tool reserves ahead
