# More Memory, Worse Agents: Error Reproduction and Anti-Persistence in LLM Agents > Source: > Published: 2026-10-21 05:00:06+00:00 LLM agents can improve across tasks without updating model parameters by storing experience from their own executions in external memory and reusing it to guide later decisions. A central design question is whether to retain only observed trajectories and outcomes or also the rules, summaries, and s