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This paper presents MACBT, a multi-agent cognitive behavioral therapy decision support system with longitudinal memory, trained on Chinese dialogues and shown to improve clinical authenticity and session quality compared to other AI systems.
This paper proposes a longitudinal memory framework called LifeMem to mitigate identity essentialism in LLM agents, improving their alignment with human data in social simulations by enhancing diversity and dynamic evolution.
HealthClaw is an open-source agent architecture for longitudinal personal health management that uses self-evolving memory to improve support over repeated encounters, achieving higher accuracy and privacy compared to baselines across biomedical tasks.