Structure and Visualize your research progress.

LabMemo is a research workspace for PhD students and researchers. It helps you manage projects, experiments, notes, meetings, images and documents in one place, making it easier to stay on top of your research.

Getting started is simple. Create your research projects, then start logging experiments, notes and meetings as your work progresses.

Each entry is designed to hold all the information related to that record. Add result tables to your experiments, attach PDFs and documents, include images of handwritten notes, or record voice memos. Everything stays connected to the right project.

Every new entry automatically appears in your project grid, giving you a visual overview of how your research is progressing.

No. LabMemo was originally inspired by the challenges of managing wet lab research, but it's designed to be useful for researchers across all disciplines.

Whether you work in biology, chemistry, neuroscience, engineering, psychology, computer science or another field, LabMemo helps you manage projects, experiments, notes and meetings in one place.

If there's something missing for your field, let us know. Many of our improvements come directly from researcher feedback!

Notion and OneNote are excellent tools, but they're designed to work for almost everyone. These tools give you a blank canvas. LabMemo gives you a research workspace that's ready from day one.

LabMemo is built specifically for researchers. Instead of spending time creating databases, pages and workflows from scratch, you can start organizing your research immediately.

Projects, experiments, meetings, notes and supporting documents are already connected in a workflow designed around how research actually happens. This makes it easier to visualize your research, stay on top of multiple projects and spend less time managing information.

Absolutely.

Instead of rewriting the same protocol every time, simply upload your master protocol once to your archive and link it to any experiment where it's used.

When logging an experiment, you only need to record what was unique to that run: the aim, any changes to the protocol, observations, results and conclusions. Your original protocol remains stored separately, keeping your experiment logs focused without duplicating the same protocol over and over again.