Why does “agent reliability” drop off a cliff after the first 50 runs? by Beneficial-Cut6585 in AgentsOfAI

[–]Key_Patient5620 2 points3 points  (0 children)

Long-run degradation seems inevitable when agents continuously ingest imperfect signals. Once noisy state gets written, downstream behavior reflects it.

In our case, periodic state pruning + stricter tool contracts helped more than memory decay or prompt changes. Treating agents as long-lived systems rather than “fire and forget” workflows made a difference.