The field of mental health support is rapidly evolving with the integration of artificial intelligence (AI) and machine learning (ML) techniques. Recent developments have focused on creating proactive counseling agents, multi-component AI frameworks, and human-like customer service systems. These innovations aim to provide timely and effective interventions for individuals in distress, improve the accuracy of psychological assessments, and enhance the overall quality of mental health support. Notable advancements include the development of datasets and models that can simulate human-like conversations, predict financial distress, and detect burnout risk. The use of AI-driven platforms, chatbots, and interactive interfaces has also improved the accessibility and personalization of mental health services. Overall, the field is moving towards a more holistic and technology-driven approach to mental health support. Noteworthy papers include: PanicToCalm, which introduces a proactive counseling agent for panic attacks, and TheraMind, which presents a strategic and adaptive agent for longitudinal psychological counseling. OlaMind is also notable for its human-like and hallucination-safe customer service framework for retrieval-augmented dialogue.