Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions

Researchers published a comprehensive survey on personalized LLM-powered agents that can adapt to individual users over extended interactions. The study organizes these agents into four key components: profile modeling, memory, planning, and action execution, providing a framework for developing more user-aligned AI assistants.