Your agent's memory layer will not throw. It returns three plausible looking chunks, the model answers confidently from them, and nobody notices for a week. That is the real failure mode of LLM memory in production: retrieval quality drifts while every dashboard stays green, so the only defence that actually holds is asserting on what came back before the model ever sees it. Here is where memory breaks, what the benchmarks say happens at scale, and the verification hooks I wire around retriev...