Paper Scout Research Assistant

Example Use Cases

• 1

  Fetch and score new research papers daily based on personalized interests.

• 2

  Review, assess significance, and manage research paper candidates interactively.

• 3

  Search and generate summaries of research papers for knowledge work.

Description

Paper Scout is a personal AI research paper ingestion and scoring pipeline that fetches new papers daily from arXiv, Semantic Scholar, and Hugging Face Daily Papers. It scores papers against a user-configured interest profile using local embeddings and multiple signals, stores candidates in MongoDB, and provides MCP tools for AI agents like Claude to review, assess, and manage these papers. This setup helps researchers stay updated with relevant papers efficiently without relying on external LLM calls for scoring.