Description
CopilotKit is designed to bring users and AI agents together inside real applications. It serves as an enterprise-ready frontend stack that allows for the integration of large language models (LLMs) or agents with real-time context, UI control, and full flexibility. This tool is trusted by the majority of Fortune 500 companies and Global 50 organizations, indicating its reliability and effectiveness in large-scale environments.
The platform enables the creation of rich agentic applications that learn from every interaction, making it a valuable tool for organizations looking to enhance their AI capabilities. CopilotKit is self-hostable, allowing companies to maintain control over their data and security. It is built to scale with organizational needs and works seamlessly with existing agent stacks.
CopilotKit offers use cases and templates that allow teams to start from a real agent experience and customize interactions to align with their product's look and feel. It connects with trusted company knowledge bases, providing employees with an agent capable of answering questions with citations, analyzing data across systems, and preparing subsequent actions.
One of the key features of CopilotKit is its ability to act inside the product, learning from real use and keeping every action auditable. It operates through AG-UI, ensuring compatibility with various agent frameworks and harnesses across the ecosystem. This openness allows for continuous improvement and adaptability to future technologies.
The platform captures every interaction, turning them into signals that help improve agent quality and speed while reducing costs. It provides product analytics for agentic products, helping teams understand user behavior, measure outcomes, and identify areas for improvement. CopilotKit is future-proof, supporting any agent stack, frontend, or model, and allows organizations to bring their own database, ensuring no new data store is required.
CopilotKit has been featured in recent coverage, including a Series A funding round reported by TechCrunch, highlighting its growth and impact in the AI agent interface space. The platform is built with teams that are shipping agentic products, providing powerful AI capabilities to enhance applications.
CopilotKit's Core Features
Enterprise-ready frontend stack
Integrates LLMs or agents
Real-time context and UI control
Self-hostable and scalable
Trusted by Fortune 500 and Global 50
Acts inside the product
Open through AG-UI
Continuous improvement with user interactions
Getting Started with CopilotKit
Configure: Set up the integration with your existing systems
Use: Deploy agents within your applications
Optimise: Continuously improve agent performance through user interactions
CopilotKit's Use Cases
- Enterprise AI integration
- Real-time data analysis
- User interaction learning
- Secure data management
- Product analytics
