  As mental health issues globally escalate, there is a tremendous need for
advanced digital support systems. We introduce MentalAgora, a novel framework
employing large language models enhanced by interaction between multiple agents
for tailored mental health support. This framework operates through three
stages: strategic debating, tailored counselor creation, and response
generation, enabling the dynamic customization of responses based on individual
user preferences and therapeutic needs. We conduct experiments utilizing a
high-quality evaluation dataset TherapyTalk crafted with mental health
professionals, shwoing that MentalAgora generates expert-aligned and user
preference-enhanced responses. Our evaluations, including experiments and user
studies, demonstrate that MentalAgora aligns with professional standards and
effectively meets user preferences, setting a new benchmark for digital mental
health interventions.
