Shubhamsaboo/awesome-llm-apps
A curated collection of impressive LLM-powered AI applications featuring RAG, AI Agents, Multi-agent Teams, and open-source models from leading AI providers like OpenAI, Anthropic, and Google Gemini.
Awesome AI Agents › AI Agent Ecosystems
eugeneyan/news-agents
News Agents is an innovative project that creates a terminal-based news aggregation and summarization system using Amazon Q, Model Context Protocol (MCP), and tmux. The system fetches news articles from multiple sources such as Hacker News, TechCrunch, and the Wall Street Journal, then processes and summarizes them into readable digests. The architecture involves a main agent that reads RSS feed URLs from a file, divides them into chunks, and spawns multiple sub-agents to handle these chunks in parallel. Each sub-agent fetches content, parses articles, writes summaries, and saves them in markdown files. The main agent monitors the progress of sub-agents and compiles all summaries into a comprehensive main summary file. The entire process is visualized in the terminal using tmux panes, allowing users to see agents working concurrently. The project demonstrates the use of Amazon Q CLI as an agent harness, MCP for parsing RSS feeds, and tmux for terminal management. It includes setup instructions for Amazon Q, cloning the repository, syncing dependencies, and running the system. The project files are organized into context instructions for agents, source code for processing different feed types, and a folder for storing summaries. This project is a practical example of leveraging multiple agents to automate news aggregation and summarization efficiently within a terminal environment, showcasing parallel processing and real-time monitoring capabilities.
https://github.com/eugeneyan/news-agents
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