Looking for contributors: AI news curation agent (MIT license) (github.com)

Pulse, an autonomous AI news curation agent developed using LangGraph, has been announced, designed to automate the scraping, processing, summarization, and publishing of AI/ML news across multiple platforms. Utilizing a sophisticated typed state machine architecture, Pulse efficiently navigates through a pipeline—scraping sources like ArXiv and GitHub, deduplicating content through embedding-based similarity, and generating concise summaries for dissemination. The agent publishes content daily to platforms like Twitter and weekly long-form pieces to Medium, significantly streamlining the process of staying updated in a fast-evolving field. This development is significant for the AI/ML community as it offers a robust solution to the challenge of information overload in the tech landscape. By providing actionable summaries and automatically tagging important developments, Pulse not only saves researchers and practitioners time but also enhances the quality of information consumed. Key technical features, including async execution, error handling, and conditional publishing based on state flags, ensure that the agent operates smoothly and flexibly. With its potential for expansion to include more sources and personalized user experiences, Pulse positions itself as a transformative tool for news curation in AI/ML.