Agno HackerNews Agent

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Features

• Intelligent Analysis: Deep analysis of HackerNews content, including trending topics, user engagement, and tech trends
• Contextual Insights: Provides meaningful context and connections between stories
• Engagement Analysis: Tracks user engagement patterns and identifies interesting discussions
• Interactive Interface: Easy-to-use command-line interface for natural conversations
• Real-time Updates: Get the latest tech news and trends as they happen

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References and Acknowledgements

• Agno Framework
• Nebius AI
• Contributed from awesome-ai-apps

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Tech Stack

• Agno framework for AI agent development
• Nebius AI’s for running LLMs. We are using Qwen/Qwen3-30B-A3B reasoning model
• HackerNews Tool from Agno

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Prerequisites

• Python 3.10 or higher
• Nebius API key (get it from Nebius AI Studio)

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Setup

1. Get the code:
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   git   clone    https://github.com/nebius/ai-studio-cookbook/
   cd    agents/agno-hacker-news-agent
   

2. Install dependencies:
   using uv:
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   # create a venv and install dependencies
   uv  sync
   

   or install using python pip:
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   pip install -r requirements.txt
   

3. Create .env file in the project root and add your Nebius API key:
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   cp env.example .env
   

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   NEBIUS_API_KEY=your_api_key_here
   

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Running the Agent

uv  sync
uv  run   python main.py

python main.py

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Example Queries

• “What are the most discussed topics on HackerNews today?”
• “Analyze the engagement patterns in the top stories”
• “What tech trends are emerging from recent discussions?”
• “Compare the top stories from this week with last week”
• “Show me the most controversial stories of the day”