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• Memory is the core module in LLM-based agents for long-horizon complex tasks like multi-turn dialogue, game playing, and scientific discovery.technical 95%
• Existing memory methods for LLM agents have not been systematically and comprehensively compared under the same experimental settings.limitation 90%
• The paper presents a unified framework that incorporates all existing agent memory methods from a high-level perspective.method 90%
• The paper extensively compares representative agent memory methods on two well-known benchmarks.method 90%
• The paper provides a thorough analysis of existing memory methods and examines their effectiveness.result 90%
• The paper designs a new memory method by exploiting modules in existing methods that outperforms state-of-the-art methods.result 85%
• Memory enables knowledge accumulation, iterative reasoning and self-evolution in LLM-based agents.technical 85%
• A deeper understanding of existing memory methods can provide valuable new insights for future research.technical 80%

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