AINeutralarXiv – CS AI · 8h ago6/10
🧠
Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents
Researchers introduce SegTreeMem, a novel memory architecture for long-horizon conversational AI agents that organizes conversation history using temporally-ordered segment trees instead of purely semantic similarity. The system demonstrates improved performance across multiple benchmarks by preserving chronological order while enabling hierarchical retrieval, with ablation studies confirming that temporal sequencing is critical to the approach's effectiveness.