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Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead

arXiv cs.AI / 3/12/2026

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Key Points

  • The paper frames multi-agent memory as a computer architecture problem and distinguishes between shared and distributed memory in collaborative LLM agent systems.
  • It proposes a three-layer memory hierarchy (I/O, cache, and memory) to organize memory access across agents.
  • It identifies two protocol gaps—cache sharing across agents and structured memory access control—and argues that memory consistency is the most pressing open challenge.
  • This architectural framing is intended to provide a foundation for building reliable, scalable multi-agent systems.

Abstract

As LLM agents evolve into collaborative multi-agent systems, their memory requirements grow rapidly in complexity. This position paper frames multi-agent memory as a computer architecture problem. We distinguish shared and distributed memory paradigms, propose a three-layer memory hierarchy (I/O, cache, and memory), and identify two critical protocol gaps: cache sharing across agents and structured memory access control. We argue that the most pressing open challenge is multi-agent memory consistency. Our architectural framing provides a foundation for building reliable, scalable multi-agent systems.