shyan23/Archivist--Research-Paper-Tool — reverse-engineered prompt

Build me a local research paper assistant called Archivist. I want a Go based app with a nice terminal interface where I can search for AI and ML papers, import or browse them, and turn each paper into a student friendly writeup that explains the problem, method, math, workflow, datasets, and the main idea in plain language. It should use Gemini for the analysis and generate clean LaTeX reports that can also be compiled into PDFs.

I also want it to avoid reprocessing the same paper, handle multiple papers at once, and let me chat with the papers I already processed so I can ask questions later. If possible, include paper search across sources like arXiv, OpenReview, and ACL, plus a research mode that can find relevant papers for a question, point out gaps in my library, and help build a literature review. A knowledge graph view backed by Neo4j is great too.

Please focus on local setup and normal Docker or script based running, not Kubernetes for now. Look up current docs online if you need to.