The T-Mem memory system proposed by Tencent's team breaks through the limitation of AI's long-term memory relying solely on similarity retrieval. Drawing inspiration from 'episodic future thinking' in cognitive science, the system enables AI to possess associative recall capabilities. During memory writing, the system preset (preset, keep as is for HTML context) trigger scenarios as associative cues, constructing a scenario-fact graph to achieve an efficient read-write pathway. This design not only enhances similarity retrieval capabilities but also realizes associative recall of potential semantic connections through bridge triggering and prospective triggering. In the LoCoMo and LoCoMo-Plus benchmark tests, T-Mem set new SOTA records, particularly in the LoCoMo-Plus test requiring associative capabilities, where its cross-domain performance gap was significantly smaller than that of mainstream systems, proving that the system fills a critical capability gap in the similarity retrieval approach.