APM-Bench tests cross-session persistent memory for streaming video assistants across 549 sessions and 104 life trajectories, finding existing methods struggle to combine recall, latency, and storage
The work introduces APM-Bench, which reformulates egocentric streaming interaction as multi-session life trajectories (549 sessions, 104 trajectories, 2,719 candidates, averaging 69 minutes of video per trajectory) and evaluates general video models and eight specialized memory systems on cross-session understanding, real-time perception, and adaptive response, plus an evidence-availability-aware test; results reveal a clear utility-latency-storage trade-off: raw video memory gives the strongest cross-session performance but needs GiB-scale storage and high latency, text summaries cut storage to the KiB scale at the cost of cross-session performance, event-structured memory shows the strongest utility among specialized systems, and adaptive response remains difficult even with rich history