Why LLM Agent Memory Fails Under Continuous Updates

A visual explainer of arXiv:2605.12978 showing how repeated LLM memory consolidation can turn useful experience into faulty rules—and why agent systems should retain raw episodes, gate abstraction, and preserve traceable evidence.

Why LLM Agent Memory Fails Under Continuous Updates | MuseWork