What is Skolar AI?
Skolar AI is an AI research tool built to help researchers find, read, and write about academic literature. Keeping up with the volume of published research is genuinely hard, and most of the work of searching, reading, and synthesizing falls entirely on the researcher. Skolar AI automates large parts of that process, from hunting down relevant papers to drafting cited literature reviews. It is designed for academics, graduate students, and scientists who work with scholarly literature regularly.
The core of the AI research tool is an autonomous Researcher Agent that can search papers, run analysis code in a sandboxed environment, and work through multi-step research questions on its own. It covers a database of more than 200 million papers and surfaces personalized recommendations alongside trending research.
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Features & Benefits
- Researcher Agent: run multi-step research tasks with an autonomous agent that searches literature, executes code in a sandbox, and analyzes data with multi-step reasoning.
- Paper Search: search over 200 million papers using AI-powered ranking, with personalized recommendations and trending research discovery.
- Literature Reviews: generate full literature reviews through a structured multi-phase workflow covering planning, searching, outlining, and drafting, with auto-citations and PDF export.
- Chat with Papers: ask questions about any uploaded paper and get precise, sentence-level cited answers for deep document interrogation.
- Paper Library: upload PDFs, organize them into collections, and chat with your documents in a centralized library.
- Code Execution: run analysis code in sandboxed environments directly during a research session, without leaving the workflow.
- Extended Mode: access deeper reasoning for complex research tasks, available on the Pro plan.
What can Skolar AI do?
- Search academic papers by topic
- Analyze research literature with AI
- Write a literature review with citations
- Run data analysis code on research findings
- Chat with a PDF paper
- Organize academic paper collections
- Find trending research in a field
- Get personalized paper recommendations
- Export a literature review to PDF
- Summarize academic papers
Real-World Applications
Graduate students working on dissertations or thesis chapters may find the literature review workflow particularly useful. Skolar AI can take a research topic through planning, search, outline, and draft in a single session, returning a cited document ready to export as a PDF. That covers work that might otherwise take days of manual searching and note-taking.
Lab researchers in fields like genomics, drug discovery, or climate science can use the Researcher Agent as an AI research tool to go further than simple search. It can execute analysis code in a sandboxed environment alongside literature retrieval, so a researcher exploring gene expression patterns across cancer subtypes might get relevant papers and cluster analysis results in the same workflow run.
Independent researchers and science writers who need to get up to speed on unfamiliar topics quickly can chat directly with uploaded papers. Rather than reading a full paper for one specific finding, they can ask a targeted question and get a precise, cited answer with a page and section reference.
For anyone who regularly reads academic work outside of a professional context, whether a curious generalist, a science communicator, or a policy analyst, Skolar AI makes it possible to interrogate papers in plain language. The paper library lets them build and organize collections by topic, and the chat feature turns any uploaded document into something they can question directly.