Mem is a personal AI that helps people capture thoughts, search a knowledge base from a vague memory, organise notes into collections, and use that context in chat. Strawberry can help bring the relevant Mem material together with the browser work around it, while keeping the source trail visible. Its useful capability areas include notes, Deep Search, collections, chat, meeting context, voice capture, and a personal knowledge base.
01
Find the note without pretending the first result is proof.
A vague recollection can be enough to retrieve a useful note, but it is not enough to make a decision. Gather the matching Mem material, preserve dates and authorship where available, then separate the record from the conclusion.
02
Turn back-to-back meetings into usable context.
Meeting notes become valuable when the next conversation starts with the commitments, constraints, and open questions already in view. Prepare that context from the selected Mem material rather than making the team reread every note.
03
Keep collections useful without over-organising.
Collections can give recurring work a home, but forced categorisation can hide the odd note that matters later. Review the active material, suggest a structure, and leave uncertain classification visible for a human decision.
04
Let the weekly memory pass have a real job.
A Mem review earns its place when it prepares a tangible handoff, such as a Monday priorities brief or a pre-meeting dossier. Define that source-aware pass as a skill and run it before the weekly planning moment, not as an unexplained background clean-up.
Mem Strawberry