You ask «when did we decide this?» and your AI finds it, even if you wrote it six months ago. Here is what actually happens, in five steps and without jargon.
Like a person searching a book: index, page, chapter.
They are two different questions, and Cobrain answers both.
«When did we change courier?» is an index question: search, open the note, done. «We are working on Rossi» is a file question: before doing anything the AI needs that client's rules, what was decided, what happened in the last few weeks. No keyword search gives it all of that at once.
That is why every client, project or person you follow is a folder with a card. When the AI opens the folder it gets the rules first, then the card, then the decisions, then the notes from the most recent. What weighs too much stays out but gets named: an eighty-page note is opened on its own, when needed, not on every question. What goes in, and in what order, is on the context costs page.
The index is built when you write, not when you search.
One note per working session, with the day in the name and a title that states the fact: «Courier changed: express, never on a Friday», not «Update». It is what you would do in a paper archive, and for the AI it is gold: it reads the date from the name, the fact from the title, and the rest from the text.
There is no AI rereading everything on every question to «understand» what is needed: the index updates as you write and a search is an index lookup, fast and free. It is also why the memory stays yours: they are Markdown files in real folders, you open them with any program and take them away whole.
The tools your AI uses in these five steps.
Searching is search, opening a note is read_file, taking the file is load_context, and the first look at a client is start_session. They are four of the seventeen documented tools, and your AI picks them on its own.
Connect your AI, write three notes the way you would for a colleague, and a week later ask it when you decided something.