Useful Memories Become Faulty When Continuously Updated by LLMs

2026-05-12

LLM agents frequently degrade in performance when they continuously rewrite their experiences into textual lessons, causing specific facts to drift into vacuous abstractions and over-generalized rules. Therefore, research suggests that future memory systems should favor a curated collection of raw, unabstracted episodes over constant summarization.