CopilotKit

作者 CopilotKit已验证

The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

36,965
Stars
4,572
Forks
TypeScript
语言
2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/CopilotKit/CopilotKit

快速入门

使用 CopilotKit 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

CopilotKit

Docs · Examples · Enterprise Intelligence Platform · Discord

Build agent-native applications — on any framework, on any surface.

Generative UI, shared state, and human-in-the-loop workflows for React, Angular, Vue, React Native — and in Slack and Microsoft Teams.

Bring Your Own Agent. Any Channel. — CopilotKit and AG-UI connect any agent framework to Slack, Microsoft Teams, Discord, WhatsApp, Telegram, Google Chat, iMessage, and SMS.

What is CopilotKit

CopilotKit is a best-in-class SDK for building full-stack agentic applications, Generative UI, and chat applications.

What started as a React library is now the horizontal layer between your agents and your users: the same agent can power your web app, your mobile app, and your team's Slack or Microsoft Teams workspace.

We are the company behind the AG-UI Protocol - adopted by Google, LangChain, AWS, Microsoft, Mastra, PydanticAI, and more!

Quick Start

Up and running in under five minutes. All you need is an LLM key (OpenAI, Anthropic, Gemini, etc.).

npx copilotkit@latest create

Agent Skills

CopilotKit ships agent skills that teach your coding agent (Claude Code, Codex, Cursor, Gemini, and others) how to set up, build with, integrate, debug, and upgrade CopilotKit.

Install them into any project directory:

npx copilotkit@latest skills install

Run it again any time to refresh to the latest skills.

Bring Your App to Life

https://github.com/user-attachments/assets/72b7b4f3-b6e7-460c-a932-5746fe3c8db3

Features:

  • Chat UI – A fully customizable chat interface that supports message streaming, tool calls, and agent responses.

  • Backend Tool Rendering – Enables agents to call backend tools that return UI components rendered directly in the client.

  • Generative UI – Allows agents to generate and update UI components dynamically at runtime based on user intent and agent state.

  • Shared State – A synchronized state layer that both agents and UI components can read from and write to in real time.

  • Human-in-the-Loop – Lets agents pause execution to request user input, confirmation, or edits before continuing.

  • Self-Learning (early access) – Agents that continuously improve from user feedback via in-context reinforcement learning (CLHF).

🧩 Works With Your Stack

One agent backend. Every frontend.

Platform Status Get Started

⚛️ React / Next.js ✅ GA Quickstart

🅰️ Angular ✅ Supported Source Code & Quickstart

💚 Vue ✅ Supported Source Code - Quickstart coming soon

📱 React Native ✅ Supported Quickstart

💬 Slack / Microsoft Teams ✅ Supported Channels · Quickstart

🔜 Discord / WhatsApp / Telegram / Google Chat / iMessage / SMS 🟡 Coming soon Channels

Your agent logic stays the same — AG-UI handles the wire protocol, CopilotKit handles the UI layer for each framework and channel.

💬 Channels: One Agent, Every Chat App

The Channels SDK takes the agent you already built and drops it into the chat apps your users live in — same tools, same shared state, same human-in-the-loop, no rewrite (Learn more).

  • Slack – Agents as first-class Slack apps: threads, tool calls, and human-in-the-loop approvals right in the channel.

  • Microsoft Teams – Bring agentic workflows to the enterprise, where your org already lives.

👉 Explore Channels →

🧠 Self-Learning Agents

Improve your product by learning over time.

With Continuous Learning from Human Feedback (CLHF), part of the CopilotKit Intelligence Platform, agents improve with every interaction:

  • In-context reinforcement learning – Agents automatically improve from user interactions, no model fine-tuning required.

  • Automatic prompt augmentation – Agent behavior adapts based on recent interactions and outcomes.

  • Per-user adaptation – Agents learn individual preferences and get better for each user over time.

  • Threads & persistence – Full interaction history — generative UI, human-in-the-loop, shared state — captured across sessions.

Available via CopilotKit Cloud or self-hosted.

🔒 Early access: We're onboarding teams now.

👉 Request early access →

https://github.com/user-attachments/assets/7372b27b-8def-40fb-a11d-1f6585f556ad

What this gives you:

  • CopilotKit installed – Core packages are fully set up in your app

  • Provider configured – Context, state, and hooks ready to use

  • Agent <> UI connected – Agents can stream actions and render UI immediately

  • Deployment-ready – Your app is ready to deploy

Complete getting started guide →

How it works:

CopilotKit connects your UI, agents, and tools into a single interaction loop.

CopilotKit Diagram — Motion x2 6 sec version

This enables:

  • Agents that ask users for input

  • Tools that render UI

  • Stateful workflows across steps and sessions

  • One agent, deployed across web, mobile, and chat platforms

⭐️ useAgent Hook

The useAgent hook sits directly on AG-UI, giving you full programmatic control over the agent connection.

// Programmatically access and control your agents
const { agent } = useAgent({ agentId: "my_agent" });

// Render and update your agent's state
return &#x3C;div>
  &#x3C;h1>{agent.state.city}&#x3C;/h1>
  &#x3C;button onClick={() => agent.setState({ city: "NYC" })}>
    Set City
  &#x3C;/button>
&#x3C;/div>

Check out the useAgent docs to learn more.

https://github.com/user-attachments/assets/67928406-8abc-49a1-a851-98018b52174f

Generative UI

Generative UI is a core CopilotKit pattern that allows agents to dynamically render UI as part of their workflow.

https://github.com/user-attachments/assets/3cfacac0-4ffd-457a-96f9-d7951e4ab7b6

Compare the Three Types

Explore:

Generative UI educational repo →

🖥️ AG-UI: The Agent–User Interaction Protocol

Connect agent workflows to user-facing apps, with deep partnerships and

常见问题

What is CopilotKit?

CopilotKit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by CopilotKit. The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol. It has 36,965 GitHub stars.

Is CopilotKit safe to use?

Yes. CopilotKit passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install CopilotKit?

Clone the repository with "git clone https://github.com/CopilotKit/CopilotKit" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is CopilotKit written in?

CopilotKit is primarily written in TypeScript. It is open-source under CopilotKit on GitHub, so you can review or fork the full source.

Are there alternatives to CopilotKit?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh CopilotKit against similar tools.

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