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arXiv CS.AI
5/11/2026
From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms

From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms

Short summary

This survey frameworks LLM agent memory evolution into Storage (trajectory preservation), Reflection (refinement), and Experience (abstraction) stages. It identifies three core drivers: maintaining long-range consistency, adapting to dynamic environments, and enabling continual learning. Provides design principles for next-generation agent systems.

  • •Three-stage memory evolution framework: Storage → Reflection → Experience
  • •Addresses long-range consistency, dynamic environments, continual learning
  • •Offers design principles for developing advanced LLM agents

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