Knowledge-Centric Self-Improvement

Caltech's inversion of self-improving agents: keep the agent generic, stateless and disposable, and make a curated knowledge base the only persistent object — task-level forums, cross-task forums, then distillation into typed bundles. Beats agent-centric (DGM, HyperAgents) and prompt-optimization (GEPA, OpenEvolve) baselines on five benchmarks at lower dollar cost, and the frozen bundle transfers zero-shot to held-out tasks and across LLM families in every donor-recipient pairing — the opposite of what happens when an evolved harness is transplanted