WisPaper

WisPaper is an AI-native research workspace that connects literature discovery with review and experiment work. Quick Search supports broad keyword lookup, while Deep Search interprets a research question’s intent and filters results against the requested logic, context, discipline, or time range. The service covers academic metadata and full-text articles across 32 primary disciplines. Inside the workspace, researchers can ask questions about papers, deep-read and compare sources, synthesize findings, and build a citation-grounded knowledge base. Its stated workflow extends from literature search to AI Survey, idea discovery, hypothesis iteration, experiment design, code debugging, and drafting reviews or manuscripts. Notes, citations, thoughts, and experiment records can accumulate for reuse across projects. WisPaper is aimed at scientists, scholars, and research teams that need a structured alternative to jumping between search, reading, and writing tools. The free plan includes core features such as search and QA, with credits available through sign-in and onboarding tasks; newer capabilities such as AI Survey are reserved for paid access. Paid subscriptions add recurring credits, high-speed storage, and advanced research features, with plans sized for everyday searches through intensive Agent workflows.