Hoshi - AI Agent Platform

Hoshi is a modern web application built with Next.js that provides a platform for managing and interacting with AI agents. The platform allows users to create workspaces, configure AI agents, and extend their functionality through a flexible extension system.

Features

• Workspace Management

  • Create and manage multiple workspaces
  • Organize AI agents within workspaces
  • Customizable workspace settings and configurations

• AI Agents

  • Create and configure AI agents
  • Real-time chat interface with agents
  • Thread-based conversations
  • Message history and context management

• Extension System

  • Modular extension architecture
  • Add/remove extensions to workspaces
  • Configure extension settings
  • Test extension functionality
  • Version control for extensions

• Modern UI/UX

  • Clean and intuitive interface
  • Responsive design
  • Dark/light theme support
  • Real-time updates
  • Smooth transitions and animations

Tech Stack

• Frontend Framework: Next.js 13+ (App Router)
• Styling: Tailwind CSS
• UI Components: Custom components with shadcn/ui
• State Management: React Hooks
• API Communication: Fetch API
• Type Safety: TypeScript

Project Structure

src/
├── app/                    # Next.js app router pages
├── components/            # Reusable UI components
├── lib/
│   └── services/         # API service layer
├── types/                # TypeScript type definitions
└── hooks/                # Custom React hooks

Getting Started

1. Clone the repository
2. Install dependencies:

   npm install

3. Set up environment variables:

   Copy .env.example to .env.local and configure your environment variables
   

4. Start the development server:

   npm run dev

Development

• The application uses a modern Next.js setup with the App Router
• Components are built using TypeScript and follow React best practices
• Styling is done using Tailwind CSS with a custom theme configuration
• The project follows a service-based architecture for API communication

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a new Pull Request

License

[Add your license information here]