Highly recommended read from Google DeepMind and colleagues. There is a lot of interest in self-evolving agents, but they're hard to get right. This work highlights how important and difficult memory and retrieval are in agents. The big question in this paper is whether self-evolving agents keep learning without forgetting. They tested ReasoningBank, GEPA, and Meta-Harness on four task streams that drift in topic, workflow, or domain, built from BIRD, BFCL, and ScienceWorld. The weights…