Agent‑Memory Bench exposes hidden bugs in AI agent recall
The new agent‑memory‑bench repo lets you measure four real‑world failure modes—retraction, collision, recall, and conflict—in any AI agent's memory layer. By exposing gaps that standard retrieval metrics miss, it helps developers spot why agents confidently err and iterate toward robust long‑running workflows.