CopilotKit
Open-source React framework with 16,000+ GitHub stars for building in-app AI copilots - chat UIs, agent sidebars, and human-in-the-loop CoAgents with LangGraph integration.
CopilotKit is an open-source React framework for embedding AI copilots, chat interfaces, and autonomous agents directly inside web applications. Founded in 2023, the project has accumulated over 16,000 GitHub stars and is MIT-licensed. CopilotKit provides drop-in React components like CopilotChat and CopilotSidebar alongside server-side hooks that connect the UI to application state and LLM providers in real time. CoAgents extends the framework to support human-in-the-loop agentic workflows built on LangGraph - agents execute multi-step tasks while streaming progress back to the UI and surfacing decision points for user input. CopilotKit Cloud, the hosted service, adds usage analytics and managed inference; the core React components are free and self-hostable.
Key Features
- CopilotChat and CopilotSidebar React components drop into any web app to add an AI chat interface in minutes
- CoAgents integrates with LangGraph to stream multi-step agentic task progress directly into the React UI in real time
- useCopilotReadable and useCopilotAction hooks expose application state and actions to the LLM without custom API work
- Human-in-the-loop workflow support lets agents pause and surface decision points for user approval before proceeding
- Backend SDK for Next.js, FastAPI, and other frameworks handles LLM routing, tool calling, and streaming responses
- Compatible with OpenAI, Anthropic, Google, and any OpenAI-compatible API endpoint as the underlying LLM provider
- CopilotKit Cloud adds managed deployment, usage analytics, and shared infrastructure for teams moving beyond self-hosting
Use Cases
- Product teams adding an AI chat assistant to an existing React web application without building LLM infrastructure from scratch
- Developers building AI agent UIs that show streaming step-by-step progress and let users intervene in multi-step workflows
- Startups creating SaaS products with in-app AI copilot features similar to Notion AI or Cursor without reinventing the UI layer
- Engineers prototyping LangGraph agent workflows with a pre-built React frontend that renders agent state in real time
Pros
- MIT-licensed open-source core with 16,000+ GitHub stars provides a tested, community-supported foundation without vendor lock-in
- CoAgents fills the gap between bare LangGraph backends and user-facing UIs that can surface agent state and collect feedback
- React component API is approachable for frontend engineers without ML backgrounds who want to add AI features to existing apps
Cons
- React-only - teams using Vue, Angular, or Svelte cannot use the prebuilt components and must implement their own UI layer
- Deep integration with application state via useCopilotReadable requires careful architecture to avoid exposing sensitive data to LLMs
- CoAgents requires a LangGraph backend, adding framework-specific dependency for teams not already using LangGraph for agents
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