ArXiv paper 2603.18000 proposes AgentFactory, a self-evolution paradigm where agents preserve successful task solutions not as text memories but as directly executable subagent code that is continuously refined via execution feedback. This addresses the gap between episodic memory (one-time retrieval) and durable skill accumulation. Builder-relevant: it's a concrete architecture for building agents that compound capability across deployments rather than starting fresh each run.