Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads 事件

Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads arXiv:2606.06448v1 Announce Type: new Abstract: LLM agents are increasingly deployed on long-horizon tasks requiring sustained reasoning over extended interaction histories. Realizing this at scale requires agents to persistently store, retrieve, and update their own memory across sessions. A rich ecosystem of agent memory systems has emerged spanning flat retrieval, LLM-mediated extraction, consolidating