GrapeGrape
AI agent for developers

Ask your notes. Get an answer.

Ask a pile of runbooks and notes a question in plain language and get the answer with the note it came from, so at midnight when something breaks you are reading your own words instead of hunting for them. The agent can file, tag and tidy while it is in there.
Every answer points back to the note it came from, so you can check it
It can create, edit, move, tag and delete notes when you ask it to
Built in Grape AI on Pro, or plug in your own API key
Ask about one note, one folder or the whole library
Summaries from your own words
A week of meeting notes becomes three bullet points you can send on.
Tidying stops being your job
Ask it to file the loose notes into folders and add the tags you already use.
Web search in the same chat
When the answer is not in your notes, it can look it up and write it in.
Results

Three things that stop being a problem

Feature lists are easy to write and hard to care about. This is what changes for developers.
Stop solving the same bug twice
Describe the symptom in search and get the note where you already worked it out.
Keep decisions where you can defend them
Ask what you decided about a service and get the note, the date and the reasoning.
Point the AI at your own stack
Bring your own key, or run a local model through Ollama, and keep the workspace on disk.
In practice

What that looks like for developers

A few moments in a normal week where the app earns its place.
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.

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.