Easily Build a UI for Your LangGraph AI Agent in Minutes with CopilotKit 🪁

AI agents are autonomous programs that perform tasks and make decisions, often conducting research and interacting with humans. CopilotKit is a full-stack framework for building user-interactive agents, enabling them to control applications and generate custom UIs. To build an agent-native research app, one needs React/Next.js knowledge and tools like Python, LangGraph, OpenAI API, Tavily AI, CopilotKit, and Docker. The process begins by cloning a LangGraph agent repository and setting up API keys. The LangGraph agent manages states and transitions between nodes, tools, and human feedback. LangGraph Studio allows visualizing the agent's workflow and testing its functionality. Human-in-the-Loop (HITL) enables the agent to request human input during execution for reliability. CopilotKit Cloud then connects the LangGraph agent to a frontend UI by creating a tunnel. Setting up the CopilotKit Provider in the frontend allows use of Copilot UI components like CopilotChat. Finally, the useCoAgent hook shares the LangGraph AI agent state with the frontend UI, ensuring seamless interaction and updates.