Search papers, read PDFs, run research agents, and keep sources, PDF evidence, manuscript drafts, and citation trails connected in one desktop workspace.
Academic research reach
NNScholar connects multi-source search, PDF dialogue, evidence boards, writing delivery, journal submission, Skills, and MCP so researchers can move from questions to outcomes.
Academic institution logos shown: Massachusetts Institute of Technology, Imperial College London, Stanford University, University of Oxford, Harvard University, University of Cambridge, Tsinghua University, Peking University, Zhejiang University, Shanghai Jiao Tong University, Fudan University, University of Science and Technology of China. Logo source links retained: 12.
Core features
From discovery and PDF reading to evidence checks and writing, NNScholar keeps every step grounded in sources and ready for the next move.
Research Space
Keep sources, conversations, evidence, tasks, files, project state, and final deliverables in one long-running workspace.
Explore workflow
SPACE
Live
Materials, tasks, conversations, and outputs stay together
What evidence is this study still missing?
Literature Discovery
Search scholarly sources, import DOI / arXiv / PMID, batch import references, screen with AI, and save results.
Explore workflowSOURCE
86%
Find citable material by research intent
Find the most cited method reviews from the last three years
PDF Reading
Read PDFs, translate selected text, annotate, compare original and translation, chat with PDFs, and ask across documents.
Explore workflowREAD
Cited
Every answer can return to the exact source text
What are the methodological limits of this paper?
Evidence Board
Connect sources, claims, evidence, research decisions, risks, and next actions so AI output returns to real materials.
Explore workflowEVIDENCE
Traceable
Keep arguments, sources, and risks on the same board
Is this claim backed by enough evidence?
Research Agent
The Agent works inside the current project: analyzing papers, organizing materials, checking evidence, and advancing drafts.
Explore workflowAGENT
Running
The agent knows the project and the next step
Draft a section outline from the current evidence
Academic Skills
Question mining, research planning, paper structure, figures, drafting, polishing, journal picks, and reviewer responses.
Explore workflowSKILL
Ready
Call the right academic capability for each phase
Rewrite this result section for submission
NNScholar keeps papers, PDFs, evidence, agents, and drafts in one workspace, so every claim can trace back and every project can move forward.
Research loop
Answers for researchers comparing AI research tools, literature search, PDF reading, reference verification, Desktop access, WebUse, and credits-based plans.
Get the native desktop app and run your first research workflow locally.
