ChatGPT, Claude and Gemini remember what you tell them, so you don’t have to explain yourself again every session. That memory belongs to one user in one tool. What your organization knows isn’t in it.
Every AI tool has its own memory. It picks up things about you from your chats and from the files you paste in, and feeds them back as soon as you ask something new.
Each user turns it on separately, in each tool. Below is where to find it and whether it’s already on for you.
ChatGPTOn by defaultSettings › Personalization › Memory
ClaudeOff, you turn it onSettings › Capabilities › MemoryThese settings shift with every release. Check them in your own environment.
What you told ChatGPT, Claude doesn’t know. Your session doesn’t know your colleague’s work from last week. Neither one reaches the archive where the answer lives.
ClaudeWhat did we decide at Meerdink about that integration?
I don’t have anything on that. Can you paste the document?
The answer is in a colleague’s report, two folders away.
// 01
Each memory only knows one person’s chats. Your organization’s best work stays behind in the chat history of whoever made it, where the rest of the team never sees it.
SharePoint
Teams
Outlook// 02
Your writing style, your role, last week’s deck. The proposals, reports and meeting notes from nine years of projects live in SharePoint, and memory doesn’t look there. Ask about an earlier approach, and it answers from a handful of chats instead of from the archive.
Memory grabs whatever it finds first. The answer doesn’t show which of the two it was.
// 03
Nobody manages versions and nobody cleans up. The 2022 workflow and today’s sit side by side, stated with equal confidence. Outdated knowledge fails silently: a wrong answer looks exactly like a right one, ends up in a proposal, and the client notices first.
Project Meerdink: the second supplier came in 14% under budget.
saved to memory · March
New project, different client, same sector. Memory joins the conversation.
three months later · nobody removed it
// 04
Whatever someone pastes into the chat during a project stays in their memory. When that colleague works for another client in the same sector three months later, that stored piece joins the conversation. A memory that doesn’t know which client something came from can’t honor your confidentiality agreements.
When you work alone, everything sits in one head. With fifty colleagues, your organization’s knowledge is spread across fifty heads, and you pay for that in time: the manager texting three people about that 2023 renovation project, the colleague spending half a day looking for the proposal that won back then.
AI makes that pile bigger. A report that took a week last year now takes an afternoon, and every colleague with their own AI memory adds a private brain next to it. Each piece makes sense on its own, and together they contradict each other.
Everyone buys the same model for the same price. The difference is what’s in front of it when the question comes in: three loose PDFs from someone’s downloads folder, or nine years of projects.
Most knowledge projects scrape everything together. Notes, presentations, old reports, client conversations, nine years of messages. They put a search box on top and call it a brain.
Your AI gets more material from it. How you work isn’t in there: which source wins when two documents contradict each other, in what order you build a quote, which check still follows before it goes out, and where it went wrong last time. Nobody wrote those agreements down, and a search box can’t find what isn’t there.
A brain worth having carries four things.
01 · Remember
02 · Assess
03 · Execute
04 · Refine
reviewed corrections go back into the system
The four depend on each other. Memory supplies the material, guardrails strip out what doesn’t belong, the workflow sets the order, and whatever went wrong along the way goes back into memory after review. A brain that skips that last step is in the same state after a year as on the day it was delivered.
Folders work fine as long as one person oversees the whole. With a second person, things start to drift: someone tweaks an approach, someone else grabs the old version, and the best way to do something stays on one laptop.
Add ChatGPT, Claude and Gemini, and you end up with as many private brains as there are people. Each one makes sense on its own, and none of them knows about the rest.
We keep your organization’s layer in one place, while everyone keeps working in their own AI tool. When someone finds a better way of working, it goes through a review first and then into the brain. From that moment on, the whole team works with it.
What someone figures out on Tuesday supports the whole team’s work on Wednesday.
Tuesday · discovery
Wednesday · handover
one correction, one review, a better starting point for the whole team
reviewed once → available everywhere
Tuesday · discovery
reviewed once → available everywhere
Wednesday · handover
one correction, one review, a better starting point for the whole team
The payoff is in the repetition. An improvement stuck in a private chat saves one person an afternoon. The same improvement in the brain saves the whole team an afternoon, every time that work comes back.
Some tools go further and can reach your SharePoint, and that helps. It’s still searching a pile nobody cleans up, and it never gets past that one provider. We don’t replace those tools. We make sure there’s something in them worth thinking about.
Put everything your organization knows into one provider’s memory, and your work depends on decisions made without anyone from your side at the table.
Subscription
€20€60/mo
Terms shift, and your only copy sits on the other side of the paywall.
A model gets retired or the memory feature gets rebuilt, and what you built up shifts along with it.
Status
Unavailable
this morning 06:12 · no announcement
Regulation, an outage or a policy change can make a model unusable overnight. Usually without warning.
That’s why we keep memory separate from the model. If another model performs better next year, you switch models and the memory stays put.
you work in one AI tool and want it to remember your writing style, your role and your preferences. That works fine, costs nothing extra and needs nobody to run it.
your organization’s knowledge is worth more than one tool. When the answer sits in a colleague’s work, when confidentiality and permissions apply, and when someone has to keep it up to date after the novelty wears off.