Local first storage for researchers
Work with no wifi and no worry.
Grape keeps a literature review in a database on your own machine, so in the middle of writing up a dead connection changes nothing about what you can open.
Writing, reading, organising, drawing and recording all work offline
You pick where the database file sits
Export any note, or the whole library, as Markdown, HTML or PDF
Run the AI locally through Ollama or LM Studio if you prefer
No account to start
Download, open, write. Accounts only matter for the paid plans.
Your choice of AI provider
OpenAI, Anthropic, Google, Groq, DeepSeek, OpenRouter, Ollama and more.
Export whenever you want
Markdown, HTML or PDF, one note at a time or the whole library.
You pick where the file sits
Point the database at any folder on your machine, and move it later.
The plane, the tunnel, the cabin
Writing, search, drawing and recording all work with no connection.
Local models if you want them
Run the AI through Ollama or LM Studio and nothing leaves the machine.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for researchers.
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.
Turn interviews into text the same day
Record the session, get a transcript in the note, and code it while it is still fresh.
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
A few moments in a normal week where the app earns its place.
Reading a new paper
Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
Fieldwork day
Record on the phone, add photos, and let it all sync back to the desk copy.
Writing up
Ask for every note that touches a concept, then pull the quotes into the draft.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
AI Agent
Chat that reads your library and can act on it
Open
Memory
The agent remembers what you tell it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
Open
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.