AI RESEARCH
Novel Memory Forgetting Techniques for Autonomous AI Agents: Balancing Relevance and Efficiency
arXiv CS.CV
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ArXi:2604.02280v1 Announce Type: cross Long-horizon conversational agents require persistent memory for coherent reasoning, yet uncontrolled accumulation causes temporal decay and false memory propagation. Benchmarks such as LOCOMO and LOCCO report performance degradation from 0.455 to 0.05 across stages, while MultiWOZ shows 78.2% accuracy with 6.8% false memory rate under persistent retention. This work