CopilotKit

What CopilotKit does

CopilotKit is a full-stack framework designed for building user interactive agents and copilots. It provides an open-source core with premium features, enabling developers to create generative UI apps across web, Slack, and Teams. The platform supports building agent-native applications, running them across various user surfaces, connecting to any agentic backend, and improving with an Enterprise Intelligence Platform. CopilotKit is the company behind the AG-UI Protocol, which facilitates seamless communication between AI agents and user interfaces. It offers SDKs for popular frontend frameworks like React and Angular, pre-built chat components, and features for thread persistence, analytics, and continuous learning for agents.

Products

• CopilotKit FrameworkOpen source core with premium features for building agent-native applications, generative UI, shared state, and human-in-the-loop workflows.
• CopilotKit Frontend SDKsSDKs for building agent-native applications with Generative UI, shared state, human-in-the-loop workflows, and MCP Apps, available for React and Angular.
• Enterprise Intelligence PlatformPlatform for thread persistence, analytics, and continuous learning from users, enabling self-improving agents.
• CopilotKit InspectorTool to debug and inspect all agent-user interactions in real-time and historically, providing visibility into agent behavior.
• SaaS CopilotIntent-oriented interface for SaaS applications, leveraging CopilotKit to create intelligent assistants.
• Co-Creation CopilotCopilot designed to work with users to create more, better, and faster.

Key capabilities

• Generative UI for any agent, anywhere
• First party integrations from leading agent stacks
• Connect any agent to your user interface
• Threads+Persistence (automatic thread and state persistence)
• Frontend SDKs for React and Angular
• Chat components (pre-built, customizable UI)
• Data Distribution
• Multimodal Storage
• Inspector
• Agentic Backend Connections
• Fully Headless UI
• Analytics
• Self-Learning (agents automatically improve)
• Human-in-the-loop workflows
• MCP Apps
• Any Frontend Stack (web, Slack, Teams, mobile, messaging)
• Universal connectivity (any frontend, any agent)
• Open Source + Premium Features
• AI agents dynamically generate and render UI components
• In-app Actions (agents execute actions directly within applications)
• Realtime Context Awareness (agents understand context without explicit prompting)
• Agent-App State Sync (bidirectional state synchronization)
• Observability Hooks (programmatic access to agent events, state changes, performance metrics)
• Any LLM, Any Framework, Any Protocol
• Open Standards and Protocols (AG-UI, MCP, A2A)
• Agent Framework Integrations
• Protocol Support

Use cases

• Building generative UI apps across web, Slack, and Teams
• Deploying agentic features
• Building fullstack agents that render rich, interactive UI on demand
• Enabling in-application agentic experiences
• Improving workflows and clarifying customer questions with AI
• Building agent-native applications
• Running product experiences across web apps, Slack, Teams, mobile, and messaging
• Connecting to any agentic backend (framework, LLM, or mesh)
• Creating engaging, visual experiences that adapt to each user's journey
• Defining actions that AI agents can execute directly within applications
• Building custom copilot interfaces with full design freedom
• Monitoring, logging, and analytics for agent behavior
• Creating an intelligent assistant for SaaS applications
• Building copilots that work with users to create more, better, and faster

AI approach

CopilotKit provides a full-stack framework for building user interactive agents and copilots, focusing on the frontend for agentic user experience. It enables generative UI apps across various channels (web, Slack, Teams, mobile, messaging) and connects to any agentic backend (LLMs, agent frameworks, protocols). The core framework is open-source, with premium features for advanced needs. It supports dynamic UI generation, in-app actions, real-time context awareness, and agent-app state synchronization.

Tech named: AG-UI Protocol, MCP Apps, A2UI, GPT, Claude, LangChain, Google ADK, OpenAI, Microsoft MAF, AWS Strands, AgentCore, AG2, LangGraph, FastAPI, Gemini, Mastra, Claude Agent SDK, PydanticAI, MS Agent Framework, MS Agent Harness, Agno, LlamaIndex, CrewAI

What it says sets it apart

• The company behind the AG-UI Protocol
• Open-Source (MIT) core with premium features
• Full-stack framework for building user interactive agents and copilots
• Supports generative UI across web, Slack, and Teams
• Seamlessly integrates AI agents with product frontends, Slack, and Teams surfaces
• Automatic thread and state persistence across app sessions and conversations
• First-class support for modern frameworks like React and Angular
• Universal connectivity: any frontend, any agent, any LLM, any framework, any protocol
• Enterprise Intelligence Platform for self-learning agents, analytics, and continuous improvement
• Offers fully headless UI for complete design freedom
• Provides observability hooks for full visibility into agent behavior
• Built on open standards and protocols (AG-UI, MCP, A2A) for interoperability without lock-in

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.