TheraMind：面向长期心理咨询的战略性自适应智能体

TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling

October 29, 2025

作者: He Hu, Yucheng Zhou, Chiyuan Ma, Qianning Wang, Zheng Zhang, Fei Ma, Laizhong Cui, Qi Tian

cs.AI

摘要

大型语言模型在心理咨询领域的应用日益受到关注。然而现有方法普遍缺乏情感理解能力、适应性策略以及跨多轮会话的长期记忆治疗手段，与真实临床实践存在较大差距。为解决这些关键问题，我们推出了TheraMind——一种具备策略性与自适应能力的纵向心理咨询智能体。该系统的核心创新在于新颖的双循环架构，将复杂咨询过程解耦为负责战术性对话管理的"会话内循环"与专注战略性治疗规划的"跨会话循环"。会话内循环通过感知患者情绪状态动态选择应答策略，并借助跨会话记忆确保连续性；而跨会话循环则通过评估每次会谈的治疗效果，动态调整后续干预方案，使智能体获得长期适应性。基于真实临床案例的高保真模拟环境验证表明，TheraMind在连贯性、灵活性和治疗协调性等多轮会话指标上显著优于现有方法，证实了双循环设计在模拟战略性、自适应及纵向治疗行为方面的有效性。相关代码已开源：https://0mwwm0.github.io/TheraMind/。

English

Large language models (LLMs) in psychological counseling have attracted increasing attention. However, existing approaches often lack emotional understanding, adaptive strategies, and the use of therapeutic methods across multiple sessions with long-term memory, leaving them far from real clinical practice. To address these critical gaps, we introduce TheraMind, a strategic and adaptive agent for longitudinal psychological counseling. The cornerstone of TheraMind is a novel dual-loop architecture that decouples the complex counseling process into an Intra-Session Loop for tactical dialogue management and a Cross-Session Loop for strategic therapeutic planning. The Intra-Session Loop perceives the patient's emotional state to dynamically select response strategies while leveraging cross-session memory to ensure continuity. Crucially, the Cross-Session Loop empowers the agent with long-term adaptability by evaluating the efficacy of the applied therapy after each session and adjusting the method for subsequent interactions. We validate our approach in a high-fidelity simulation environment grounded in real clinical cases. Extensive evaluations show that TheraMind outperforms other methods, especially on multi-session metrics like Coherence, Flexibility, and Therapeutic Attunement, validating the effectiveness of its dual-loop design in emulating strategic, adaptive, and longitudinal therapeutic behavior. The code is publicly available at https://0mwwm0.github.io/TheraMind/.