CopilotKit
Enterprise frontend stack for building AI agent interfaces in applications.
Pricing
About CopilotKit
CopilotKit is an enterprise-grade frontend framework designed to integrate AI agents and large language models directly into web applications, Slack, Teams, and mobile platforms. It provides developers with tools to build generative UI experiences where agents can render rich, interactive interfaces on-demand and control the user experience. The platform uses the AG-UI protocol to maintain a unified event stream across different user surfaces, allowing teams to build once and adapt across multiple channels. A key limitation is that it requires developers to bring their own agents, models, and frameworks—CopilotKit focuses on the frontend integration layer rather than providing AI models directly.
At a glance
- Company
- Tawkit, Inc.
- Platforms
- Web, iOS, Android, Slack, Microsoft Teams, WhatsApp, Telegram
- API
- Available
- Integrations
- OpenAI, LangChain, React, Vue, Angular, Slack, Microsoft Teams
- Last verified
- June 2026
Who It's For
- •Enterprise software companies building SaaS products
- •Development teams deploying AI agents across multiple platforms
- •Developers building collaborative AI applications
- •Teams using Slack, Teams, or custom messaging platforms who want AI integration
- •Startups and companies building agentic applications
How It Works
- 1Developers integrate the CopilotKit SDK into their application using React, Vue, Angular, or other supported frameworks
- 2The framework connects to any backend AI agent or LLM framework through standardized interfaces
- 3Agents can render dynamic, interactive UI components based on the AG-UI protocol in response to user interactions
- 4Thread persistence automatically maintains conversation state across app sessions and surfaces like Slack or Teams
- 5The unified event stream architecture allows the same agentic logic to work across web, mobile, and chat applications
How to Use CopilotKit
- 1Start with a single command: 'npx copilotkit@latest create' to scaffold a new project
- 2Import CopilotKit components like CopilotSidebar for drop-in chat interfaces
- 3Define custom actions using useCopilotAction() hook that agents can trigger
- 4Connect your backend agent or LLM using the provided SDK integrations
- 5Deploy agentic features using the Intelligence Platform for enterprise deployments
- 6Customize components and styling or use headless mode for full control over UI
Key Features
- •Generative UI - Agents render rich, interactive components on-demand
- •Frontend SDKs for React, Vue, and Angular
- •Pre-built, customizable chat UI components
- •Threads and persistence across app sessions and chat platforms
- •Support for Web, iOS, Android, Slack, Teams, WhatsApp, and Telegram
- •AG-UI protocol for unified event streams across frontends
- •Headless UI mode for custom implementations
- •Drop-in Copilot sidebar component
- •Self-learning agents capability (early access)
- •Integration with multiple agent frameworks and LLMs
Use Cases
- •SaaS Copilot: Add intelligent assistants to SaaS products to help users navigate features and automate workflows
- •Co-Creation Copilot: Enable AI-assisted collaboration for design, content creation, and building tools
- •Enterprise Application Integration: Deploy AI agents in internal tools, Slack, Teams, and mobile apps
- •Workflow Automation: Build agents that can control application UI directly to accomplish tasks more efficiently
Pros & Cons
Advantages
- •Multi-surface deployment: Build once and deploy across web, Slack, Teams, mobile, and messaging platforms with the same codebase
- •Enterprise-ready architecture: Trusted by Fortune 500 companies and designed for scalable, production deployments
- •Framework agnostic: Works with any backend agent framework, LLM, or model—brings your own stack flexibility
- •Developer-friendly: Simple CLI setup and intuitive APIs allow developers to get started in minutes
Disadvantages
- •Requires external agent infrastructure: CopilotKit doesn't provide agents or LLMs; developers must build or integrate their own backend
- •Learning curve for AG-UI protocol: Building optimal generative UI experiences requires understanding the AG-UI protocol and patterns
- •Early-stage features: Self-learning agents and some advanced features are still in early access
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Frequently Asked Questions
What is CopilotKit?
CopilotKit is an enterprise-grade frontend framework designed to integrate AI agents and large language models directly into web applications, Slack, Teams, and mobile platforms. It provides developers with tools to build generative UI experiences where agents can render rich, interactive interfaces on-demand and control the user experience.
How much does CopilotKit cost?
CopilotKit is free to use.
Is CopilotKit free?
Yes, CopilotKit offers a free plan you can start with.
What are the best CopilotKit alternatives?
Popular CopilotKit alternatives include Dify AI, FlowiseAI, LangChain.
What is CopilotKit used for?
CopilotKit is commonly used for SaaS Copilot: Add intelligent assistants to SaaS products to help users navigate features and automate workflows, Co-Creation Copilot: Enable AI-assisted collaboration for design, content creation, and building tools, Enterprise Application Integration: Deploy AI agents in internal tools, Slack, Teams, and mobile apps.
Does CopilotKit have an API?
Yes, CopilotKit offers an API for developers.
What platforms does CopilotKit support?
CopilotKit is available on Web, iOS, Android, Slack, Microsoft Teams, WhatsApp, Telegram.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.