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Home/Categories/AI & Machine Learning/CopilotKit
icon of CopilotKit

CopilotKit

Open source alternative to Vercel AI SDK, Microsoft Copilot Studio and Google Vertex AI Agent Builder

  • 38.1K stars
  • MIT
  • Active this week
  • Last commit 1 day ago

Last verified Oct 20, 2026

Build agentic chat, generative UI, and shared-state copilots across web, Slack, Teams, and mobile apps. MIT licensed.

Visit websiteGitHub38.1K stars
image of CopilotKit
TL;DR

CopilotKit is a frontend SDK for adding agentic chat, generative UI, shared state, tool calls, and human-in-the-loop workflows to React and Angular apps. It replaces hand-built AI assistant plumbing for product teams adding native copilots.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ
who it's for

Who CopilotKit is for#

SaaS teams adding an in-app copilot

Use CopilotKit to wire chat, state, and tool actions into an existing React or Angular product.

Skip if:

Skip if your AI feature is only a backend batch job with no user-facing assistant.

Agent teams building generative UI

Use shared state and generative UI patterns when agents need to change interface elements during work.

Skip if:

Skip if plain chat completion is enough.

the problem

The problem it solves#

Embedding AI into an app takes more than streaming text from an LLM. The assistant needs UI state, tool calls, confirmation flows, generated interface updates, and a frontend that feels native to the product.

how CopilotKit solves it

How it solves it#

Agent-native UI components

CopilotKit provides chat UI, message streaming, tool calls, and agent responses for frontend applications.

Generative UI and shared state

Agents can generate and update UI components dynamically while reading and writing shared application state.

Human-in-the-loop workflows

The README describes flows where agents pause to request user input, confirmation, or edits before continuing.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Purpose-built for in-app copilotsCopilotKit handles app context, frontend components, and agent interaction patterns that generic LLM APIs leave to the product team.
  • MIT-licensed React and Angular stackThe MIT license makes it practical for commercial product teams building assistant interfaces into their own apps.

Trade-offs

  • -Frontend-focused layerCopilotKit helps build the user-facing agent experience, but teams still need model providers, backend tools, permissions, and production safety design.
versus alternatives

CopilotKit vs alternatives#

CopilotKit vs Vercel AI SDK

CopilotKit is better when the feature is an in-app copilot that needs shared UI state, tool rendering, and human confirmation flows. Vercel AI SDK is still better for general streaming primitives and model plumbing when the product team wants to design the assistant layer itself.

install · quick start

Quick start#

bash
Start with the official CopilotKit scaffold when you want a frontend wired to an AG-UI compatible backend quickly.

```bash
npx copilotkit@latest create
```

After the scaffold finishes, add your model provider key and connect the generated app to the agent runtime you want to use.
tech stack · detected from GitHub

What it's built on#

Languages
C#JavaJavaScriptPythonRubyTypeScript
Frameworks
Next.jsReact
frequently asked

FAQ#

What is CopilotKit?

CopilotKit is an SDK for building agentic applications, generative UI, and chat features in frontend apps.

What frameworks does CopilotKit target?

The README positions CopilotKit for React and Angular applications.

What does CopilotKit replace?

CopilotKit replaces custom in-app AI assistant plumbing around chat UI, shared state, tool rendering, and confirmation flows.

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