AINeutralarXiv – CS AI · May 16/10
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TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents
Researchers introduce TiMem, a temporal-hierarchical memory framework that helps conversational AI agents manage long conversation histories beyond LLM context limits. The system organizes interactions through a Temporal Memory Tree, achieving state-of-the-art performance on memory recall benchmarks while reducing memory overhead by over 50%.