Grape
Mind maps for researchers

Turn your notes into a mind map

See how one topic hangs together.
A long note about an argument becomes branches you can follow, which is a different pass over the same material than reading a literature review again.
A mind map generated from any note in one step
Or write the outline yourself and Grape draws it, on any plan
Branches follow the structure you already wrote
Zoom around the map on desktop or phone
The map stays attached to the note it came from

Structure you cannot see in prose

Long notes hide their shape. A map puts it back on the surface.

Revision that is not rereading

Walking a map is a different pass over the same material.

Built from your note, not a template

The branches come from what you wrote, in your own words.

Follow one branch at a time

Open the part you are stuck on and leave the rest folded away.

A real map on a small screen

Pan and zoom on the phone instead of squinting at a picture of it.

The map stays with the note

It sits in the note it came from, ready the next time you open it.
Findings

Three problems this addresses

Stated plainly, without the usual claims. What changes when the library can answer a question.
01
You annotated the paper last year and are reading it again.

Stop rereading papers you already annotated

Ask what your notes say about a method and get the answer with the note it came from, ready to cite.
02
The interview sits as audio for a month before anyone transcribes it.

Turn interviews into text the same day

Record the session, get a transcript in the note, and code it while it is still fresh.
03
The argument is spread across a year of files that never met.

See how the threads connect

Link notes to each other and use the graph view to spot the argument forming across a year of reading.
In practice

What that looks like for researchers

Three points in a project where the tool changes the work rather than decorating it.
01

Reading a new paper

Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
02

Fieldwork day

Record on the phone, add photos, and let it all sync back to the desk copy.
03

Writing up

Ask for every note that touches a concept, then pull the quotes into the draft.
Questions

Questions Before You Install It

The rest of them live in the help center.
Can I keep sensitive research data off the cloud?
Yes. Grape is local first, so the database stays on your machine unless you turn sync on. If you need AI without sending text to a hosted provider, you can point Grape at a local model through Ollama or LM Studio.
Does it handle citations?
Grape is not a reference manager. It keeps your notes, PDFs and transcripts together and answers questions about them. Most researchers keep using Zotero or similar for bibliographies and use Grape for the thinking around them.
What is Grape, in one paragraph?
Grape is a note app for Mac, Windows, Linux, iPhone and Android with AI built into the middle of it rather than bolted on the side. You write, record and collect things the normal way, and then you can search by meaning, ask questions about your own notes, and turn any note into a summary, a set of flashcards, a quiz or a mind map.
What makes it different from other note apps?
Most note apps treat AI as an extra panel. In Grape the agent works on your workspace: it can read, create, edit, move, tag and delete notes, and every answer points back to the note it came from. Semantic search, voice transcription, flashcards, quizzes, mind maps and the drawing canvas all live inside the editor rather than in separate tools.
Where do my notes actually live?
On your device, in a local database, and you can choose where that file sits. Nothing needs to leave your machine for the app to work. If you turn on sync with a Sync or Pro plan, your notes are also stored in the cloud so your devices can stay in step. On Lifetime they sync through your own Dropbox or Google Drive instead, and Grape never sees them.
Do I need an account to use it?
No. Download the app and start writing. You only need an account for the paid plans, which is where cross device sync and built in AI come in.

Ask what you already read.

Papers, interviews, field notes and half formed arguments in one local library you can question in plain language, months after you filed them.