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How are people handling long-term memory in creative AI agents?
I'm working on a creative AI project and ran into an unexpected problem.
Generating content wasn't particularly difficult. Maintaining consistency across sessions was.
Users would come back and ask for something like "same atmosphere but darker" or "same style but slower," and the system would understand the request but lose a lot of the context that made the previous result work.
For people building creative agents, how are you handling long-term memory and preference persistence?
Are you storing explicit preferences, retrieving previous outputs, using reflection/summaries, vector search, graph memory, or something else?
I'm curious what approaches have worked well in practice.
u/MithranNinjaMOB — 1 day ago