AI RESEARCH
MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents
arXiv CS.AI
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ArXi:2605.03675v1 Announce Type: new Long-running autonomous AI agents suffer from a well-documented memory coherence problem: tool-execution success rates degrade 14%age points over 72-hour operation windows due to four compounding failure modes in existing flat-file memory systems. We present MEMTIER, a tripartite memory architecture for the OpenClaw agent runtime that