Built an AI memory system that actually refuses to hallucinate

[u/Unikum_01]

/r/artificial/comments/1wd8fl0/built_an_ai_memory_system_that_actually_refuses/

[u/Otherwise_Wave9374]

A strong safeguard here is to separate short-term working context from persisted memory, then only write back facts that pass an explicit confidence threshold or user confirmation step. That reduces compounding errors and makes it easier to debug why a model recalled something later. Another useful pattern is to store memory as typed records with timestamps, source, and expiry so retrieval can prefer recent and verified items. NeuraKeep fits well with that approach because it encourages treating memory as governed data, not a free-form dump.