NNScholar is an AI-powered research workspace that consolidates academic workflows into a single platform. The software allows researchers to search papers from sources like Semantic Scholar, PubMed, arXiv, and Crossref, and organize findings in a unified environment. It supports importing materials via DOI, PMID, or arXiv IDs, with AI-assisted screening to prioritize relevant sources. The PDF reader enables interactive features like chat, translation, annotation, and question-answering linked to source locations. Projects preserve sources, conversations, evidence, tasks, and files across sessions. An evidence board ensures traceability of claims to original materials. The AI agent organizes materials, checks citations, and advances drafts via a task queue. Academic tools support workflows like question mining, research planning, drafting, and journal selection, maintaining verifiable links between AI outputs and sources throughout the research process.
