aPaper is coming soon.

From aPaper, see the field. aPaper is an AI-native academic research workspace for reading papers deeply, understanding their research context, and building a knowledge base that grows with your work.

* The first private testing phase is approaching and is currently limited to macOS users. We welcome researchers, scholars, domain experts, and people who read papers deeply to help refine the workflow, context harness, and core capabilities. Contact us below.

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Product Thesis

aPaper opens the field behind the paper. It starts from the paper in front of you, then brings together Paper Mentor for guided explanation, a self-growing knowledge base for long-term research memory, and Brainstorm for exploring gaps, methods, contradictions, and new directions.

— aPaper

Inside the workspace

Two demo previews: Paper Mentor keeps explanation close to the current paper, while the literature information panel organizes metadata, publication details, and reading context.

aPaper Paper Mentor demo — Paper Mentor / guided understanding

aPaper literature information panel demo — Literature information panel / paper metadata

* Demo screens are for preview only. The final experience will be available when the app launches.

One Paper

Begin from the paper you are reading, then unfold the field around it.

Paper Mentor

Guided explanations, evidence previews, and follow-up questions for the current paper.

∞

Knowledge Base

A personal research memory that grows through papers, notes, citations, and context.

Brainstorm

Explore gaps, compare methods, find contradictions, and shape new research directions.

Why aPaper

Because reading a paper should lead to understanding the research behind it.

Research rarely begins with a clear view of the whole field. It often begins with one paper: a method you need to understand, a citation that keeps appearing, or a question whose place in the field is still unclear.

aPaper is built for that moment. It keeps the paper at the center, then helps you move from the text outward into questions, methods, citations, evidence, and related ideas. Over time, your reading path becomes a knowledge base shaped by what you study and how you think.

Start from the paper you already have, not from an empty search box.
Connect questions, methods, citations, evidence, and related ideas within one research context.
Turn each reading session into reusable academic memory.

Technical architecture

How aPaper helps

A reading workflow where explanation, exploration, and memory stay connected.

Paper Mentor works around the current paper. Instead of answering in the abstract, it keeps returning to the paper text, evidence snippets, and surrounding context so you can see what problem the authors address, how they argue, and where the key conclusions come from.

Brainstorm is for more open-ended research exploration. Across a paper or a selected set of papers, it helps you look for gaps, compare methodological routes, surface potential contradictions, and turn vague questions into directions you can pursue next.

The knowledge base preserves that process. Papers you read, notes you form, citation relationships, and research context accumulate over time, so aPaper gradually reflects the way your research develops.

Paper Mentor Brainstorm Growing Knowledge Base

Coming soon

A private preview for people who build knowledge from papers.

aPaper is still being refined. The current focus is not adding more features for their own sake, but shaping paper reading, Paper Mentor, Brainstorm, and the knowledge base into one focused, durable research workspace that can be used over time.

Paper Mentor grounded in evidence, citations, and context.
Brainstorm for finding gaps, comparing methods, and organizing research directions.
AI-integrated annotations that connect notes, highlights, and later research context.
Reading plans that help you organize papers to read, currently reading, and already read.
A personal academic knowledge base that keeps accumulating through literature reading and can move with your work.

The public version is not open yet. You can follow the private preview through email or X.