This paper studies the fragility of financial systems composed of large language model (LLM) agents. The authors use a controlled experimental framework to simulate financial decision-making in three environments and find that collective fragility is widespread even when no agent is instructed to destabilize the system. They propose three interaction mechanisms to improve aggregate outcomes and show that successful stabilization requires early commitment formation.