Memory as a Service (MaaS): Rethinking Contextual Memory as Service-Oriented Modules for Collaborative Agents
Haichang Li

TL;DR
This paper proposes Memory as a Service (MaaS), a modular, service-oriented approach to memory in LLM-based agents, enabling cross-entity collaboration and overcoming traditional memory silo limitations.
Contribution
It introduces the MaaS framework, decoupling memory from local contexts and enabling dynamic, governed, and interoperable memory services for collaborative agents.
Findings
MaaS facilitates cross-entity memory sharing.
A two-dimensional design space for MaaS is proposed.
Open research challenges in governance and security are outlined.
Abstract
This position paper aims to rethink the role and design of memory in Large Language Model (LLM)-based agent systems. We observe that while current memory practices have begun to transcend the limitations of single interactions, they remain conceptually grounded in "bound memory" in terms of design concept-where memory is treated as local state attached to specific context or entities, forming "memory silos" that impede cross-entity collaboration. To overcome this architectural bottleneck, this paper proposes the timely design perspective of "Memory as a Service" (MaaS). MaaS advocates decoupling memory from its conventional role as an interaction byproduct and encapsulating it as a modular service that can be independently callable, dynamically composable, and finely governed. At its core, MaaS leverages the duality of memory-its inherently private nature and its potential for public…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Business Process Modeling and Analysis
