AI forgets with every conversation
You explain the business, the tone, and the constraint every time. The next day, from scratch, and the result gets worse because the context was summarized in a rush.
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Memory · Core
Your company has already learned a lot. It just has not stored it anywhere.
Core is where the operation's discoveries live: the price a competitor charges, the objection that always comes up, the decision already made. What one module learns today, another already knows tomorrow, and looking it up is the platform's lowest-cost operation.
STORESAbout the companyMarketPreferencesDecisions
ONE PART LEARNED
Collection found: competitor A lowered its entry plan from R$ 199 to R$ 179 on August 14.
SalesThe next proposal already has the right comparison, without anyone needing to remember.
OracleThe new offer rehearsal takes this price into account when simulating the cost objection.
AEO/GEOThe article written to fill the gap cites the correct price range.
COST TO STORE AND LOOK UP4 creditsthe platform's lowest-cost operation, because it runs all the time
Propagation example. A fact you write by hand is never overwritten by automatic deduction: the owner has the final say.
Without this, there are six tools. With this, one organism.
The difference between a set of tools and a system is shared memory. It is what makes August's work matter in December, and what one area learned reach another without a meeting.
What happens today
What the company knows is in three people's heads.
Whoever leaves takes the context with them
The person who knew why that decision was made resigned. The decision still stands and nobody remembers why.
Each area keeps things in its own corner
Sales knows the objection, marketing does not. What one discovered on Tuesday, the other discovers again alone a month later.
What you start seeing
What the company knows, written down and editable.
It is not a conversation transcript: it is a short fact, in five categories, that you can read on one screen and correct with your finger. What should not be there, you delete.
EXAMPLE OF A SNAPSHOT
0
Five categories0%
Editable and deletable0
Lookup cost0
One memoryFive categories
About you, about the company, preferences, market, and decisions. Categories narrow enough for you to find what you need without searching.
Memory nobody reviews decays
Editable and deletable
Every fact can be corrected or removed, and what you write by hand is never overwritten by automatic deduction.
The owner has the final say: always
Lookup cost
Four credits. It is the lowest-cost operation here, and it is what other modules trigger on every request.
Cheap by design: it is what makes the others worth more
One memory
It is not one memory per module: it is the same one, written by everyone and read by everyone. It is what makes the system a body.
What one learns, the other already knows
Inside
Four rules that keep this from becoming junk.
AI memory usually fails in two ways: by storing everything until you cannot find anything, or by contradicting itself. The four rules exist to prevent both.
Short fact, not transcript
"Prefers reports on Friday" fits. A paragraph of conversation does not. Good memory is what you can read in full on one screen.
you can actually review it
What changes gets updated, not stacked
When a fact changes, it replaces the previous one instead of coexisting with the contradiction. The old version is kept so you can undo it.
memory does not contradict itself
What you write takes priority
Automatic deduction never overwrites what the owner wrote by hand. If you corrected it, it is corrected, and it stays that way.
the machine does not correct you about your business
Leave with all of it whenever you want
It is not a partial export or hostage to a format. The memory leaves complete, on the day you decide.
staying is a choice, not a prison
To settle the question
Four comparisons that settle it.
A shared document works, a huge prompt works, and chatbot memory works. The point is what survives over time and staff turnover.
A shared documentCore
Who reads itWhoever remembers it exists All modules, with every request
UpdateWhen someone has time With every discovery from any module
ContradictionTwo versions coexisting for months The new replaces the old, with undo
From zero to the first snapshot
Three steps. Then it starts filling itself.
0110 MINUTES
Write down what is already decided
What the company does, who it sells to, what is no longer up for debate. Five lines already change the outcome of everything that comes next.
02AUTOMATIC
Use the other modules
Every collection, every test, and every measurement adds a new fact. You review what came in and correct what is wrong.
035 MINUTES PER MONTH
Review it from time to time
The entire memory fits on one screen precisely so it can be read. You delete what has become outdated.
Inside the company
The same memory, three reliefs.
Stop revisiting old decisions and repeating context to every new person who joins.
Receive work that already starts with the right tone, constraint, and history.
Start knowing what the company has already learned, instead of discovering everything again over six months.
What comes out of this, concretely
01
The list of facts
In five categories, editable, with date and source.
02
The change history
What that fact said before, so you can undo it.
03
The full export
Everything, in one file, whenever you want.
Where the alert arrives
When an important fact changes, a price, a decision, the notice reaches the place where the team already is.
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View Connect How much it costs
Storing is cheap. Thinking about what is stored costs.
Querying memory is the cheapest operation on the platform, because it is what the other modules do all the time. What costs more is when Core reasons about it: finding contradictions, consolidating, synthesizing the profile.
Query and predict4 credits: find what matters, build the context block, predict from what it already knows.
0 credits
Create, link, and map8 credits: store a new fact, find the bridges between memories, build the graph.
0 credits
Consolidate and synthesize15 credits: Core "sleeps", merges duplicates, and rewrites the entire profile.
0 credits
The most frequent operation is also the cheapest, by design: a request that queries memory uses 4 credits, versus 20 to 130 for a measurement in an AI engine.
See all plansBefore you ask
What people usually want to know.
Is this the same as ChatGPT memory?
The idea is similar; the difference is who it belongs to and who can see it. Here, the memory belongs to the company, encrypted with the company key, read by every module and fully exportable. The assistant's belongs to the account of whoever talked to it, stays in there and disappears when the person leaves.
What if it stores something wrong?
You correct or delete it, and the correction applies from that point on. A manually written fact is never overwritten by automatic inference: if you said it is so, it is so. And every change keeps the previous version, so it can be undone.
Does it become a pile of things nobody reviews?
That is the risk of any automatic memory, and the answer here is SHORT facts: one line, not a transcript. The entire memory fits on one screen precisely so it can be read and reviewed in five minutes a month.
Who on my team can see it?
Anyone you authorize. The memory belongs to the company, with permissions per person, and the record shows who wrote or changed each fact.
If I cancel, do I lose everything?
No. The entire memory leaves in a file, on the day you decide. It is not a partial export or a format hostage. Staying should be a choice, not a prison.
THE OTHER ORGANS
Memory is what connects the others.
Each module writes what it learned here and reads from here before working. It is the difference between six tools on the same bill and one system.
THE OTHER ORGANS
No module works alone.
Each one solves a front, and all write to the same memory. See the others and how they fit with this one.