Zero-Mem introduces zero-token memory operations for large language model (LLM) agents, allowing them to maintain consistency in long interactions without incurring additional token and time costs from multiple LLM calls. This method aims to improve memory management by reducing the complexity and potential loss of detail in memory retrieval processes.