Introduction
agents-ui-kit is an advanced extension of prompt-kit, providing specialized components and utilities for building sophisticated AI agent interfaces, multi-agent systems, and autonomous assistant applications.
What is agents-ui-kit?
agents-ui-kit builds upon the excellent foundation of prompt-kit by adding:
- Agent-specific Components: Purpose-built UI components for AI agents, including agent cards, status indicators, capability displays, and more
- Advanced State Management: Built-in memory bank system for managing agent state, conversation history, and context
- Multi-Agent Support: Components designed to handle multiple agents working together
- Enhanced Interactions: Rich interaction patterns for agent control, task management, and real-time status updates
- Developer Tools: Utilities and hooks to accelerate AI interface development
Built on Solid Foundations
Like prompt-kit, agents-ui-kit follows the same design principles as shadcn/ui:
- Copy & Paste: Components are designed to be copied directly into your project
- Customizable: Full control over styling and behavior
- Accessible: Built with accessibility in mind
- TypeScript First: Full TypeScript support with proper type definitions
Key Features
- 🤖 Agent Components: Specialized components for agent interfaces
- 🧠Memory Bank: Advanced state management for AI conversations
- 🎨 Themeable: Full dark mode support with customizable themes
- 📱 Responsive: Mobile-first design approach
- 🔧 Developer Friendly: Easy to integrate and extend
- 🚀 Performance Focused: Optimized for real-time AI interactions
When to Use agents-ui-kit
Use agents-ui-kit when you need:
- To build interfaces for AI agents or assistants
- Advanced state management for conversations
- Multi-agent coordination interfaces
- Real-time status and progress indicators
- Professional AI application interfaces
This project extends prompt-kit with agent-specific functionality. We recommend using both libraries together for the best experience.
agents-ui-kit is open source. Check out the code and contribute on GitHub.
Forked and extended from prompt-kit by Abhishek Gahlot.