Hippo preprint proposes training-free agent memory built by comparing attempts
A 17 October 2026 arXiv preprint proposes Hippo, an external-memory method in which agents compare attempts at a task and consolidate reusable decisions without retraining. The authors report gains on three benchmarks, but the abstract supplies no effect sizes, compute costs or public code.


