News Agents
News Agents is an innovative terminal-based news aggregation and summarization system developed by Eugene Yan. This experimental project leverages Amazon Q CLI, Model Context Protocol (MCP), and tmux to create a seamless workflow for fetching and summarizing news articles from multiple sources like Hacker News, TechCrunch, and WSJ. It operates entirely within the terminal, utilizing multiple agents working in parallel to process and present news digests.
Key Features
- Multi-Agent System: A main agent splits news feeds into chunks and spawns sub-agents in separate tmux panes for parallel processing.
- News Summarization: Automatically fetches, parses, and summarizes articles from various RSS feeds into readable digests.
- Terminal Integration: Uses tmux for a visual, split-pane interface to monitor agent activities in real-time.
- Customizable Feeds: Reads feed URLs from a configurable
feeds.txtfile for tailored news sources. - Output Organization: Saves individual summaries in a
summaries/folder and compiles a comprehensivemain-summary.md.
Use Cases
- Developers and Tech Enthusiasts: Ideal for those who prefer terminal-based tools and need quick summaries of tech news.
- Researchers: Useful for aggregating and summarizing content from multiple sources without leaving the command line.
- Automation Experimentation: A practical example for learning about multi-agent systems and terminal automation with Amazon Q and MCP.
This tool stands out due to its unique combination of terminal-based operation and agent-driven automation, offering a lightweight, efficient alternative to traditional news aggregation platforms.
