Preprint Open access
AECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems
Large language model (LLM)-based multi-agent systems increasingly rely on memory to transform execution trajectories into reusable procedural knowledge. Yet repeated retrieval also makes memory errors persistent: memory pollution arises when outdated, weakly supported, or spuriously successful procedures become recurri …