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CopilotKit

By CopilotKit

IntermediateFramework5.2K learners

CopilotKit is an open-source React framework for embedding AI copilots — chat assistants, in-app actions, and autonomous agents — directly into web applications with pre-built UI components and hooks.

Definition

CopilotKit is an open-source React framework for embedding AI copilots — chat assistants, in-app actions, and autonomous agents — directly into web applications with pre-built UI components and hooks.

Overview

CopilotKit is designed to shortcut the significant frontend and backend plumbing normally required to add an AI assistant to an existing application. It provides React components for chat sidebars, popups, and inline text assistance, along with hooks that let a copilot read application state and trigger actions inside the app — for example, filling out a form or navigating to a page on a user's behalf, rather than only answering questions in a chat window. Under the hood, CopilotKit connects to LLM providers such as OpenAI and can be paired with agent frameworks and orchestration tools to give the copilot more complex, multi-step AI agent capabilities, similar in spirit to how the Vercel AI SDK handles model calling and streaming, but with a stronger focus on pre-built, application-aware copilot UI and in-app actions rather than just the model-calling layer. Because it targets React and Next.js applications specifically, CopilotKit is commonly used by teams that want to add contextual, action-capable agentic AI assistants to SaaS products without building the chat UI, state management, and action-execution plumbing from scratch.

Key Features

  • Pre-built React components for chat sidebars, popups, and inline AI assistance
  • Hooks that let copilots read application state and context
  • Support for triggering in-app actions directly from AI responses
  • Works with multiple LLM providers behind a common integration layer
  • Designed for React and Next.js application architectures
  • Supports building more complex, agentic copilot behaviors

Use Cases

Adding an AI chat assistant to an existing SaaS or web application
Building copilots that can perform in-app actions on a user's behalf
Creating context-aware assistants that understand current application state
Rapidly prototyping AI-powered features in React and Next.js apps
Building internal tools with natural-language interfaces for common tasks

Frequently Asked Questions