AutoScientists: Self-Organizing Agent Teams for Scientific Discovery

A new paradigm replaces rigid central planners with decentralized, self-organizing agent teams that autonomously run long-horizon scientific experiments.

The system features shared state, peer critique, dynamic team formation, a dead-end registry, and noise-aware validation. This enables agents to self-correct, specialize roles, and collaborate effectively without constant human intervention.