Grape
Semantic search for developers

Find it by meaning, not by memory.

Describe a service the way you remember it and the right note comes back. No naming convention to keep up with across a pile of runbooks and notes, and no scrolling through debugging sessions and design discussions you filed months ago.
Meaning based search across everything you have ever written
Exact matches still work when you know the term
Narrow down by folder, tag or date when you know where to look
The same search on desktop and on your phone

No naming convention to keep up

Your filing can be a mess. Search reads what the note is about.

Best match first

Results are ranked by how close they are to what you described.

Folders and tags when you want them

Structure helps, it is just no longer the only way back to a note.

Indexed as you type

A note is findable by meaning the moment you stop writing it.

The same search on your phone

The thing you half remember is one tap away from the note list.

The agent searches the same way

Chat finds the right notes with it before it writes you an answer.
// results

Three bugs in the workflow, closed

No feature tour. What changes when your runbooks can be queried instead of grepped.
1.
You fixed this bug in March and are debugging it again from scratch.

Stop solving the same bug twice

Describe the symptom in search and get the note where you already worked it out.
2.
The decision lives in a Slack thread that scrolled away.

Keep decisions where you can defend them

Ask what you decided about a service and get the note, the date and the reasoning.
3.
The AI tool wants your notes on its server, and you want them on disk.

Point the AI at your own stack

Bring your own key, or run a local model through Ollama, and keep the workspace on disk.
// usage

What that looks like for developers

Three points in a sprint where the tool earns its slot.

Debugging

Write the symptom, the theory and the fix in one note, with the log you kept attached.

Architecture review

Record the conversation and keep the decision log next to the diagram.

New project

Keep the setup steps in a runbook that actually gets found again.
// faq

Questions Before You Install It

The rest of them live in the help center.
Can I run the AI locally?
Yes. Grape connects to Ollama and LM Studio as well as OpenAI, Anthropic, Google, Groq, DeepSeek, Grok and OpenRouter, and you can add any OpenAI compatible endpoint yourself.
How does it handle technical notes?
Inline code, tables, checklists, Markdown paste that keeps formatting, and export back out to Markdown when you want the note somewhere else.
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 Pro plan, your notes are also stored in the cloud so your devices can stay in step.
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 built in AI and cross device sync come in.

Find it next time it breaks.

Runbooks, architecture decisions and the fix you worked out at midnight, in a local library you can search by meaning and keep offline.