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

CopilotKit

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

CopilotKit is an open-source React framework for embedding AI copilots in any web app: add in-context chat, autocomplete, and agentic actions that understand your UI state. MIT licensed.

31.3K starsTypeScriptMITActive this month
Visit websiteGitHub repo
image of CopilotKit
Contents
  1. 01Who CopilotKit is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05CopilotKit vs alternatives
  6. 06Install and self-host
  7. 07Tech stack
  8. 08FAQ
  9. 09Similar open-source tools
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.MIT · TypeScript · 31.3K stars · Active this month

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 · self-host

Install and self-host#

bash
npx copilotkit@latest create -f <framework>
tech stack · detected from GitHub

What it's built on#

Languages
C#JavaPythonTypeScript
Frameworks
Next.jsReact
Tooling
esbuild
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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Repository

Stars
31.3K
Forks
4.1K
License
MIT
Latest
v1.57.1
Last commit
13 days ago
Last verified
May 13, 2026
Repo
CopilotKit/CopilotKit ↗

Additional details

Language
TypeScript
Open issues
482
Contributors
178
First release
2023

Categories

AI & Machine LearningWeb DevelopmentDeveloper Tools

Tags

AI AgentsAI SDKDeveloper FrameworkLLMChatDeveloper ToolsPrompt Engineering