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CopilotKit
Agent AI

CopilotKit

Open-source copilot & in-app AI agent framework for React

4.9
freemiumintermediateFeaturedTrendingVerifiedSince 2024-03
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About CopilotKit

CopilotKit is an open-source framework designed to help frontend developers build and embed contextual AI copilots and autonomous agents directly inside React and Next.js applications. Instead of building isolated chatbot sidebars that have no awareness of your application's state, CopilotKit connects the LLM directly to your frontend components, state stores, and backend APIs. With CopilotKit, applications gain two-way interaction with AI: users can ask questions in natural language, and the AI agent can read current component state, trigger actions across the UI (such as updating tables, filtering views, or submitting forms), and stream live generative UI widgets directly into the workspace. It natively supports popular LLMs, LangChain, and LangGraph multi-agent backends.

CopilotKit architecture consists of frontend React hooks and UI components (`useCopilotAction`, `useCopilotReadable`, `<CopilotSidebar />`) paired with an extensible runtime backend. The frontend hooks serialize active component state into dynamic LLM prompts and register client-side actions that can be triggered deterministically via function calling. The backend runtime acts as an orchestration proxy that can route execution to OpenAI, Anthropic, Ollama, or self-hosted LangGraph agent workflows. It handles streaming responses, structured schema validation, error recovery, and permission boundaries so that user-authorized actions cannot inadvertently alter unintended data. CopilotKit also provides built-in text-editing copilots and auto-suggest inputs for rich document manipulation.

How It Works
1

Install the CopilotKit React package and wrap your root layout in CopilotKit provider.

2

Expose live component state to the copilot using the useCopilotReadable hook.

3

Define interactive application functions that the AI can execute using useCopilotAction.

4

Drop in pre-built UI primitives like CopilotSidebar, CopilotPopup, or headless custom chat triggers.

5

Connect to Copilot Cloud or point to your self-hosted Node.js / Python LangGraph backend runtime.

Platforms
WebAPI
Best For
Developersfrontend engineersfull-stack teamssaas founders
Categories
Screenshot
CopilotKit screenshot

Capabilities & Features

Free Tier
API Access
Open Source
Customizable
Multimodal
Image Input
File Upload
Code Execution
Plugins
Memory
Collaboration
White Label
Self-Hostable
No Signup RequiredWorks OfflineVoice InputImage OutputVideo InputVideo OutputAudio OutputWeb SearchBrowser Extension

Common Use Cases

1

in-app-ai-assistants

2

agentic-copilots

3

react-ui-generation

4

autonomous-form-filling

5

document-analysis-widgets

6

embedded-chatbots

Frequently Asked Questions

Is CopilotKit open-source?

Yes, CopilotKit core libraries and UI components are completely open-source under the MIT license and can be self-hosted for free.

How does CopilotKit interact with my React state?

You register state with useCopilotReadable and application actions with useCopilotAction. The AI dynamically understands your app context and invokes validated functions.

Can CopilotKit connect to custom AI models and LangGraph?

Yes, CopilotKit supports custom OpenAI-compatible endpoints, Anthropic Claude, Ollama local models, and multi-agent backends built with LangGraph or CrewAI.

Pricing Modelfreemium

Free Plan

Free open-source community edition with unlimited local components and self-hosted runtimes.

Paid Plan

Copilot Cloud starts at $29/mo with managed backend runtimes, analytics, and enterprise auth.

Get Started

Direct link · Verified & reader-supported

Pros & Cons

Open-source and fully self-hostable with no vendor lock-in

Two-way UI interaction: agents read live state and render generative UI components

Seamless native integration with LangChain, LangGraph, and OpenAI assistant protocols

Ready-to-use polished React UI components with full Tailwind and CSS customizability

Enterprise-grade security with client-side action authorization checks

Requires React / Next.js ecosystem (Vue and Angular require custom wrappers)

Complex multi-agent orchestrations require backend configuration in LangGraph or Node.js

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