Org Memory
Org memory is a knowledge layer built automatically from an organization's conversations — profiles of projects, customers and systems that accumulate context over time — visible and editable rather than a hidden model.
Institutional knowledge usually lives in two bad places: in people's heads, where it leaves when they do, or scattered across thousands of scrollback messages nobody will ever reread. Neither is queryable — you either have to ask the right person, or search and hope you use the words they originally used.
Org memory addresses this by auto-building structured entity profiles from conversation as it happens: a project accumulates its history, decisions and current status; a customer accumulates context from every thread that's touched them; a system accumulates the incidents and changes discussed about it. The profiles are derived from real conversation, not entered by hand, and they update as new conversation happens.
The important design choice is transparency: org memory should be visible and editable by the people it concerns, not a black-box model making inferences nobody can inspect or correct. If a profile has something wrong, someone should be able to see why the system thinks that, and fix it — the same discipline as an "open learner model" applied to organizational knowledge instead of a single person's.
Org Memory, in the product
Aanty auto-builds entity profiles for projects, customers and systems from conversation, visible and editable rather than a black box. Org memory backs question→answer matching (checking new questions against what's already known) and feeds conversational search answers with citations back to the source thread.
Related terms and pages
See Org Memory in a real workspace
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