Where Your AI's Opinions Go When the Session Ends

Your AI has opinions about your business. Where do they go when the session ends?

Mine were going nowhere. I would work out two ways to handle a deal in Claude, pick one, and close the tab. A week later I could not tell you which or why. So I started pasting the chat into the deal's file, next to the emails. Two weeks on I reread the line "they will accept the delay if we drop the penalty" and treated it as something the other side had told us. It was my guess, from the chat. Nothing in the file said which lines were the other side and which were me thinking out loud.

The whole market is stuck at the same fork. Throw the reasoning away, which is every stateless session. Or store it, and let the AI's opinion sit beside the facts as an equal: chat memories created without you asking, a memory API that resolves contradictions by deleting both sides, wikis grounded in their own prior synthesis. All of them remember what the AI said. None of them remember what it was.

I came out with an architectural decision instead of a bigger memory file. The decision: when you save a discussion, MrAgentˣ compiles it into atoms, single dated facts on your Context Map, and every atom belongs to exactly one of three tracks. The tracks never merge.

Track one is original data: the emails and documents you received. Track two is the AI session: you loaded a topic into Claude or ChatGPT, discussed it, saved it, and the discussion was compiled into the same kind of atoms as your emails and documents: decisions, risks, assumptions, next steps. Track three is what MrAgentˣ concluded across the first two.

Each atom is stamped with its track by MrAgentˣ the moment it is written, from what the AI client reports about itself, never typed by you, never guessed from the content, and the stamp stays when a newer fact replaces an older one. A year later you can still separate what your record proves from what an AI concluded.

Track two turned out to be the valuable one. Track three, the system's own conclusions, compresses away the options you rejected and the assumption the plan rested on; the AI session keeps them. That lets you load two things into your AI side by side that no transcript can give you: what you planned, and what then happened. A deal email arrives, three conditions need thought, you work out two approaches in Claude and save. A week of emails later, load your last discussion for what you decided and why, then load the latest emails for what the other side actually did. Both come from the context map as atoms, not as a transcript to re-read: the same result every time, a fraction of the tokens. Plan on one side, reality on the other, and the context map never lets one pretend to be the other.

This summer's memory launches promised "change the model, keep the memory." Same premise. But a track is not a model. Every atom records which model wrote it, a filter on any track, not a category of knowledge. The reasoning outlives the engine, and the large labs will never build this layer, because a memory that carries your reasoning across every model makes theirs replaceable. MrAgentˣ does exactly that, today: work in Claude this afternoon, type save, open ChatGPT tomorrow and type load, and the discussion resumes mid-thought. Your context travels with you to any AI you choose.

One rule keeps the stamp trustworthy: it is never guessed. Every atom is labeled by the system at the moment it is written, from what the AI client reports about itself, and if the origin cannot be established, the label says unknown instead of pretending. I learned why this matters while building it: in one early run, thirty-eight of thirty-eight atoms compiled from saved AI sessions had lost their origin label the moment they were split out of the conversation. A label that guesses is worse than no label. This one either tells the truth or admits it does not know.

Your AI has opinions about your business. Now they have a home, a date, and a label that says exactly what they are.

And before you trust any memory with your opinions, ask a simpler question first: can it keep plain facts straight? I published a test for that. One story, thirteen lines of text, seven questions, answer key included. Thirteen lines that carry everything real work throws at memory: the same people across weeks (entity continuity), a price that changed twice (temporal versioning), a promise made and kept and a deposit paid (commitments and payments), and a dispute where both sides are on record (conflict resolution). Claude and ChatGPT both passed with the story in front of them. A leading memory API scored two of seven and invented a version of events that appears nowhere in the thirteen lines.

Run the Story Test on whatever holds your memory today, including MrAgentˣ, that is the point of publishing it. Find out for yourself whether your memory is up to the job: the Story Test

Context Windows Close. AI Forgets Everything. Your Work Should Never Start From Zero.

MrAgentˣ is in private beta. Limited to the first 1,000 until launch.