AI-Powered To-Do List

Overview

Our application seamlessly integrates AI agents into everyday life through a simple yet powerful to-do list interface. The project demonstrates how AI can be practically applied to automate tasks and enhance productivity in daily routines.

Technical Architecture

The system is built as a distributed application with three main components:

1. Web Application (apps/web/)

• Next.js-based frontend
• Provides intuitive to-do list interface
• Real-time task status updates
• See apps/web/README.md for setup instructions

2. Manager Worker (workers/manager/)

• Orchestrates task execution
• Manages AI agent coordination
• Handles task distribution and monitoring
• See workers/manager/README.md for setup instructions

3. Agents Server (workers/server/)

• Python-based AI agent implementation
• Processes and executes research tasks
• Integrates with OpenAI APIs
• See workers/server/README.md for setup instructions

Technology Stack

• Frontend: Next.js, Shadcn UI, Tailwind CSS
• Backend: Python, FastAPI, Pydantic, Hono
• AI Integration: OpenAI Responses API and OpenAI Agents SDK

Getting Started

1. Clone the repository
2. Follow setup instructions in each component's README
3. Start the components in order:
   • Agents Server
   • Manager Worker
   • Web Application

Future Development

The application is designed to be extensible, with potential for:

• Integration with various APIs and services
• Support for different types of automated tasks
• Enhanced AI capabilities
• Custom agent configurations