Weighted Memory Tree reports gains for long-horizon LLM agents
A new preprint proposes a hierarchical memory system that decides which parts of an AI agent’s execution history should remain active. On GAIA-Text, the authors report higher accuracy, lower prompt-token use and less persistence of poisoned information than linear memory.