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CopilotKit
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CopilotKit

Active·★ 37.8k·MIT·Updated 2026-10-08
★ Most Popular★ Trending★ Essential

CopilotKit is an SDK for building agent-native applications: the layer between your agents and your users. It started as a React library and now supports React, Angular, Vue and React Native, plus Slack and Microsoft Teams, so one agent can power a web app, a mobile app and a team workspace. The company behind it also created the AG-UI protocol for connecting agents to user interfaces.

It suits front-end and full-stack teams adding AI features to their own products rather than building a chatbot from scratch. Features include a customisable chat UI with streaming and tool calls, backend tools that return UI components rendered in the client, generative UI that agents update at runtime, a shared state layer that agents and components both read and write, and human-in-the-loop steps where the agent pauses for user input. It works with existing agent frameworks rather than replacing them.

Getting started: ask your coding agent to run `npx --yes copilotkit@latest onboard start` in your project, or scaffold a new project with `npx copilotkit@latest create`. Agent skills for coding assistants are available via `npx copilotkit@latest skills install`.

#AI Agents#Frontend Framework#Generative UI#Developer Tools#LLM Integration#Communication
$ Install
$ npx copilotkit@latest create
↗ Visit site★ GitHub
01

Features

01Drop-in React UI components: chat, sidebar, textarea, and generative UI
02AI can read and write your application's frontend state bidirectionally
03Backend adapters for LangChain, LangGraph, CrewAI, and custom agents
04Human-in-the-loop patterns for approving AI actions before execution
05Copilot Cloud hosted option or fully self-hosted deployment
02

Why choose it

+Purpose-built front-end layer for agents: generative UI, shared state and human-in-the-loop out of the box.
+One agent across web, mobile, Slack and Teams.
+Works with your existing agent framework and backed by the widely adopted AG-UI protocol.
+MIT licensed with guided onboarding for coding agents.
03

Trade-offs

!Persistent threads, user memories, analytics and automatic learning are part of the commercial CopilotKit Intelligence offering, although it can be self-hosted.
!It is a front-end and interaction layer; you still need an agent backend and model access.
!Best suited to JavaScript and TypeScript front ends; other stacks integrate less directly.
04

Compatibility

React
Native
Verified via docs
Next.js
Supported
Verified via docs
Node.js
Node.js
Verified via docs
05

Quick start

1
$ npx copilotkit@latest create
06

Use cases

↳Adding a context-aware AI copilot to a SaaS product that understands app state
↳Building AI-powered document editors where the agent can directly modify content
↳Embedding a conversational agent in a dashboard that can read and update data
07

How it compares

≈vs Skybridge: Skybridge is a framework for building ChatGPT and MCP Apps that render inside chat clients; CopilotKit embeds agents inside your own application.
≈vs building a chat UI by hand: CopilotKit adds streaming, tool rendering, shared state and human-in-the-loop patterns you would otherwise implement yourself.
≈vs Flowise: Flowise was a visual builder for the agent itself and has been discontinued; CopilotKit is the UI layer around an agent you build with any framework.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 37.8k
Last commit1d ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+1.5k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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