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CopilotKit
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CopilotKit

Active·★ 38.5k·MIT·Updated 2026-11-02
★ Most Popular★ Essential★ Trending

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`.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-31.

License
MIT
Latest release
channels/v0.12.0 · 2026-10-28
Last commit
2026-10-31
Contributors
283
Forks
4,800
Open issues and PRs
368
First published
2023-06-19

Source: GitHub, npm and PyPI public APIs.

#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.
05

Maintenance check

ActiveChecked: 2026-11-03
Last commit
2026-11-02
Commits, last 90 days
100+
Releases, last 90 days
30
Latest release
v1.83.0 (2026-10-28)
Open issues
374
Recent issues with at least one comment
8/8
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 386, 355, 515, 466, 667, 501, 519, 389, 290, 342, 282, 43

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #1881 🚀 Feature Request: Mastra Message History Support32 comments · 2025-05-27
  • #6408 🐛 Bug: v1 surfaces orphaned by the v1.50.0 re-implementation (readable context; server-side actions + MCP)17 comments · 2026-08-05

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

04

Who it fits

Pick it if
  • You are building a React, Angular, Vue, or React Native app and need an MIT-licensed frontend layer for in-app AI copilots, generative UI, and human-in-the-loop state sharing.
  • You want to connect your existing LangGraph, CrewAI, or custom agent backend to web apps, Slack, and Microsoft Teams via the AG-UI protocol.
Look elsewhere if
  • You are looking for a backend agent orchestration engine rather than a frontend/UI integration SDK; use CrewAI, Pydantic AI, or LangGraph for the backend.
  • You want a standalone desktop chat client for personal use; use Cherry Studio.
06

How it differs

CrewAI logovs CrewAI★ 60.4k

CopilotKit is the frontend and user-interaction layer (Generative UI, shared state, AG-UI) that connects your app to an agent; CrewAI is the backend Python framework that orchestrates the agents themselves. They are often used together.

Full comparison →
07

Compatibility

React
Native
Verified via docs
Next.js
Supported
Verified via docs
Node.js
Node.js
Verified via docs
08

Quick start

1
$ npx copilotkit@latest create
09

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
10

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On this page
01Features02Why choose it03Trade-offs05Maintenance check04Who it fits06How it differs07Compatibility08Quick start09Use cases10Alternatives
CopilotKit /
CopilotKit
↗

SDK for agent-native apps with generative UI

38.5k4.8kMIT
Last commit2d ago
StatusActive
CategoryDev Tooling
Contributors283
Latest releasechannels/v0.12.0
Links
Documentation↗Discussion↗Issues↗Releases↗
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