Building Memorie full time. The fastest way to reach the person making the decisions about this product is the walkthrough link below, not a contact form.
About
Agents forget. We got tired of working around it.
Every agent we built hit the same wall. It was sharp for twenty turns, vague by turn eighty, and by the time a real conversation had run its course it was confidently contradicting something the user had said an hour earlier. The usual fixes were all some version of sending more text and hoping.
What we decided instead
Memory is not a storage problem. Storing the transcript is the easy half and it is the half everyone solves. The hard part is deciding what a turn actually meant, what it changes about things already known, and what should be surfaced three sessions later without anyone asking for it.
So Memorie extracts structure rather than keeping raw text, writes it across a vector, graph and file store asynchronously, and retrieves across all three in one pass. Consolidation runs in the background, merging duplicates and expiring what has gone stale, because a store with no forgetting policy slowly turns into a slower search index.
None of that is novel on its own. Putting it behind one SDK, keeping the write off your request path, and sealing the contents so we cannot read them is the part we think is worth building.
Who is behind it
We are a very small team and would rather say so than pad this page with titles.
How we work
Encrypted, including from us
We would rather not be able to read your data than promise we will not. Contents are sealed with keys we do not hold, so the guarantee is structural instead of a policy you have to trust.
No number without a method
When we publish an accuracy or latency figure, the harness, the dataset and the run go up alongside it. A memory benchmark with no method attached is marketing wearing a lab coat.
Say what does not work yet
The roadmap on our homepage lists what is missing as plainly as what ships. It costs us some deals early and saves everyone the wrong ones.
Small cohort, by hand
We onboard a few teams at a time and talk to all of them. That stops scaling until the thing is actually good, which is the point.