CopilotKit

Docs · Examples · CopilotKit Intelligence · 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.

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 work with CopilotKit. There are two: copilotkit, which searches the current documentation and source instead of answering from training data, and copilotkit-cli, which drives the CLI and proves a project's wiring with copilotkit verify.

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

Add AI to your app in 1 minute

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.

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 CopilotKit Intelligence, 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.

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 
<h1>{agent.state.