arXiv: 'Are We Ready For An Agent-Native Memory System?' Benchmarks 12 Memory Systems
arXiv·medium signal
This June 23 arXiv paper evaluates LLM-agent memory from a data-management perspective, decomposing memory into four functional modules and benchmarking 12 representative systems across multiple datasets. Its key finding: no single architecture wins universally — performance depends on matching memory structure to workload — and localized maintenance strategies beat global reorganization on cost. Directly actionable for builders designing agent memory or knowledge-graph layers.