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Position paper framing multi-agent memory as a computer architecture problem. Identifies two critical unsolved gaps: (1) cache sharing across agents without consistency guarantees, (2) structured memory access control at the protocol level.
Source: arXiv 2603.10062 — Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
Zhongming Yu et al. Published 2026-03-09.
Gap 1: No standard cache-coherency protocol for multi-agent memory — different agents may have stale or conflicting cached facts
Gap 2: Access control is application-level hack, not protocol primitive — no reliable way to enforce read/write boundaries across agent trust boundaries
Applicability to Zeph
This is a vision paper — no algorithm to implement directly. Value is as an architectural framing for future design decisions.
Mapping to Zeph's stack:
I/O layer ≈ tool outputs in tool-output/ overflow dir
Cache layer ≈ context_manager working window + ContextBuilder
Summary
Position paper framing multi-agent memory as a computer architecture problem. Identifies two critical unsolved gaps: (1) cache sharing across agents without consistency guarantees, (2) structured memory access control at the protocol level.
Source: arXiv 2603.10062 — Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
Zhongming Yu et al. Published 2026-03-09.
Key Insights
Applicability to Zeph
This is a vision paper — no algorithm to implement directly. Value is as an architectural framing for future design decisions.
Mapping to Zeph's stack:
tool-output/overflow dircontext_managerworking window +ContextBuilderkey_facts/episodes+ Qdrant embeddingsDesign implications:
Use case: Reference this framing when designing multi-agent orchestration memory sharing in #1840 (AdaptOrch) and #1864 (CollabMem).
Action
No direct implementation. Use as reference architecture when: