
The Enterprise-Ready Frontend Stack for Agents. Connect any agent to any user inside real apps.
CopilotKit is an enterprise-ready frontend stack designed to bring users and AI agents together inside real applications. It provides a general-purpose, bi-directional connection between user-facing applications and any agentic backend, based on the AG-UI (Agent-User Interaction) protocol. With CopilotKit, developers can integrate LLMs or agents directly into their products with real-time context, UI control, and full flexibility.
The platform enables the creation of rich agentic applications that learn from every interaction. It supports fully self-hosted or cloud deployment, ensuring data ownership and security. CopilotKit offers first-party integrations with leading agent stacks such as Claude Agent SDK, OpenAI Agents SDK, LangChain, Google ADK, and Mastra, alongside support for multiple frontends including React, Slack, Teams, iOS, Android, and WhatsApp. Its core capabilities include fully headless chat UI or customizable pre-built components, generative UI built from your own components, human-in-the-loop approval workflows, frontend tools that let agents call application code, user auth integration, and realtime shared state management.
CopilotKit is built to scale with your organization and is trusted by the majority of the Fortune 500 and Global 50 companies. It provides ready-made templates for top use cases such as company knowledge bases, SaaS product agents, Slack/Teams messaging agents, and customer support systems. By using CopilotKit, every action is on the record and fully auditable, while the agent improves continuously from user interactions. The company behind CopilotKit also created AG-UI, the protocol that the ecosystem already runs on, making CopilotKit a standard layer for agentic applications.
Frontend engineers and developers, AI application teams, SaaS product companies, Enterprise IT and innovation groups, Customer support and operations teams, Agencies building custom AI solutions, Startups seeking rapid agent-based product development
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