Description
CopilotKit offers an enterprise-grade frontend stack designed to bring users and AI agents together within real applications. It empowers developers to build generative UI applications that can be deployed across web platforms, Slack, and Microsoft Teams, with an emphasis on quick setup and effortless customization.
The core of CopilotKit lies in its ability to integrate Large Language Models (LLMs) or custom agents with real-time application context. This allows for dynamic and interactive user experiences where AI agents can render rich, interactive UI elements directly within the application as they process information. Features like A2UI (Agent-to-UI) and the AG-UI protocol facilitate this seamless interaction, ensuring a unified experience across different surfaces.
Key capabilities include self-learning agents that improve from every interaction without requiring explicit fine-tuning, and automatic thread and state persistence across app sessions, Slack threads, and Teams conversations. This ensures continuity and context for users. CopilotKit also provides frontend SDKs for popular frameworks like React and Angular, along with pre-built, customizable chat UI components, simplifying the development process.
The platform is trusted by a significant portion of Fortune 500 and Global 50 companies and is the driving force behind the AG-UI protocol. Developers can start integrating CopilotKit with a single command and their existing applications, bringing their own agents, models, frameworks, or collaboration surfaces. The stack is built for scale, supporting agentic backends and frontends, and offers an Enterprise Intelligence Platform for product insights and continuous learning from human feedback (CLHF).
CopilotKit is positioned as the enterprise agentic frontend stack, enabling developers to build sophisticated AI-powered applications that enhance user workflows, provide insights, and automate tasks. Its flexibility allows for integration with various agent frameworks and models, making it a versatile solution for modern AI development.
CopilotKit's Core Features
Generative UI for dynamic, interactive AI-driven interfaces
Self-learning agents that improve from user interactions
Automatic thread and state persistence across sessions and platforms
Frontend SDKs for React and Angular
Pre-built, customizable chat UI components
AG-UI protocol for seamless agent-user interaction
Support for web, Slack, and Teams deployments
Enterprise Intelligence Platform for usage telemetry and insights
Human-in-the-loop capabilities
Integration with various agent frameworks and models
First-party integrations from leading agent stacks
Real-time analytics on AI feature adoption
How to use CopilotKit?
Integrate: Start with a single command and your existing app using `npx copilotkit@latest create`.
Configure Agents: Bring your own agents, models, and frameworks.
Develop UI: Utilize frontend SDKs for React and Angular, or use pre-built chat components.
Deploy: Build generative UI apps across web, Slack, and Teams.
Enhance: Leverage features like Generative UI and Threads+Persistence for richer interactions.
Optimize: Utilize the Enterprise Intelligence Platform for insights and self-learning capabilities.
CopilotKit's Use Cases
- SaaS Copilot
- Co-Creation Copilot
- In-App Agentic Experiences
- Generative UI Apps
- Customer Support Automation
- Workflow Automation
- Data Insights and Analysis





