Activity Frames compress agent memory 86x

Activity Frames compressed a day of screen activity 86x in 68 milliseconds, with an agent answering questions from the result at 98.4% accuracy, according to a new preprint and open evaluation harness. The deterministic, zero-model compiler processed 128,756 frames across 51 active days, though all came from one professional, so the striking result is a single-user proof rather than a population benchmark. For teams following Cognition’s bet on persistent agent memory, the useful design clue is to preserve typed events and evidence pointers before paying a frontier model to summarize them.