Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
🤖 AI Summary
This work addresses the challenges of escalating complexity and architectural gaps in shared and distributed memory management within multi-agent systems. Drawing an analogy to computer architecture, it proposes a novel three-tier memory hierarchy—comprising I/O, cache, and main memory—and introduces a cache coherence protocol alongside a structured access control mechanism to tackle the critical issue of memory consistency. The framework unifies shared and distributed memory paradigms, offering a principled architectural foundation for building reliable and scalable multi-agent systems. Furthermore, it identifies key research directions and technological gaps that warrant future investigation, thereby advancing the systematic design of intelligent agent collaboration.
Application Category
📝 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.
Problem
Research questions and friction points this paper is trying to address.
multi-agent memory
memory consistency
shared memory
distributed memory
memory hierarchy
Innovation
Methods, ideas, or system contributions that make the work stand out.
multi-agent memory
memory hierarchy
cache coherence
memory consistency
computer architecture
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2024-02-05arXiv.orgCitations: 36
