This project provides an autonomous agent that generates personalized newspapers using AI, targeting users who want curated news aligned with their specific interests. It leverages a multi-agent system to automate the entire news creation pipeline, from searching and writing to design and editing, delivering a unique and engaging news experience.

How It Works

The system employs six specialized agents built with LangGraph: a Search Agent to find news, a Curator Agent to filter based on user preferences, a Writer Agent to draft articles, a Critique Agent for quality assurance, a Designer Agent for layout, and an Editor Agent to assemble the final newspaper. This modular, agent-based approach allows for distinct responsibilities and iterative refinement within the news generation process.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Run: python app.py
• Prerequisites: Tavily API Key, OpenAI API Key.
• Access: http://localhost:5000/
• More Info: Demo

Highlighted Details

• Autonomous agent architecture using LangGraph.
• Six specialized agents for news curation, writing, design, and editing.
• Personalized content aggregation from diverse sources.
• Quality assurance through a critique agent.

Maintenance & Community

The project is open for contributions, with a contributor's guide available. Contact information is provided for support.

Licensing & Compatibility

The repository does not explicitly state a license in the README. This may pose compatibility issues for commercial or closed-source use.

Limitations & Caveats

This is an experimental project provided "as-is" and is not a substitute for professional news outlets. The lack of a specified license requires clarification for any intended use beyond personal experimentation.