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Zero-Mem introduces a zero-token memory operation system for LLM agents, eliminating LLM calls and token consumption during memory retrieval by preserving original interaction traces and using deterministic entity-context and temporal structures. It achieves competitive performance on long-memory and long-context QA benchmarks while reducing memory-operation time cost by 57.6%.