AI RESEARCH
MemFail: Stress-Testing Failure Modes of LLM Memory Systems
arXiv CS.AI
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ArXi:2605.26667v1 Announce Type: new Large language model (LLM) agents increasingly rely on external memory systems to remain consistent across long-horizon interactions, but little empirical work has been done to understand the specific failure modes and design choices that these systems present. Existing benchmarks report aggregate question-answering accuracy and treat memory systems as black boxes, making it impossible to attribute an incorrect answer to a particular failure mode of the system. We.