New Agent Memory Benchmark: 68% of Vector Stores Return Stale Facts
Future_AGI · reddit · 2026-08-04
Almost all agent memory systems focus on recall metrics, ignoring whether the retrieved facts are still true. The author argues that returning outdated information is worse than having no memory, as agents will confidently act on false data.
To test this, the author built a benchmark evaluating correctness under staleness. In scenarios where ground truth changed, append-only vector stores returned outdated values 68% of the time. Conversely, a plain key-value store that overwrites facts per entity achieved 100% accuracy. The key differentiator is not the storage engine itself, but whether the system can invalidate old facts when new observations arrive.
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