Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents 事件

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents arXiv:2606.06090v1 Announce Type: new Abstract: LLM-based agents increasingly tackle long-horizon tasks with interdependent decisions, where each action reshapes future constraints and intermediate errors can cascade. Existing RAG and agent memory systems organize histories by semantic similarity, retrieving content-relevant entries at decision time. We argue that this design mismatches execution-state de