Evolvent's Self-Evolving AI System: From Individual Experience to Collective Intelligence
Our goal is not to make one agent smarter in a single task, but to let a population of agents inside an organization co-evolve over time: individuals accumulate skills and memories, the organization distills collective experience from all trajectories and feeds it back to future agents. We illustrate this closed loop across five autoresearch environments — Signal Processing, Kernel Builder, EPLB, Polyominoes, and Drug Design.
self-evolveagentautoresearchcollective-intelligence