Engramic

Personal AI memory tracks what you prefer and what you have said before. RAG retrieves documents when an agent needs a fact. Organisational memory is the third thing: the decisions your team has made, the constraints you operate under, and the reasoning behind both — authored deliberately, ordered in time, and handed t

RAG retrieves what has already been written down. Memory persists what happened in a session. Neither reaches the trade-off agreed on a call last Tuesday, because it was never a document and was never said to an assistant. Engramic is where that gets written down — once, by the person who decided it, in a form every ag

For most organisations: in at least five places — an assistant built into your office suite, a RAG pipeline over the docs, a couple of agent frameworks, several assistant memories — under terms you did not negotiate, not designed to be inspected, and largely non-transferable if you change any of the tools. Engramic kee

Probably, if your agents search a large body of documents. But a vector database retrieves whatever you put into it; it does not hold what your organisation has decided or the constraints its agents should work under. Two different problems. Most teams need both — Engramic is the second one.

No. Nothing your team records is used to train any model, ours included.