What does this research mean for the field?

(S)AGE provides a Byzantine-resilient institutional memory layer for multi-agent systems that enables governed, verifiable knowledge accumulation and management. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The research aims to improve memory architectures for multi-agent systems by ensuring knowledge accumulation is verifiable and resilient against Byzantine faults.

March 6, 20264 citationsOpen Access

Agent Memory Infrastructure: Byzantine-Resilient Institutional Memory for Multi-Agent Systems

DKDhillon Andrew Kannabhiran

Key Points

The research aims to improve memory architectures for multi-agent systems by ensuring knowledge accumulation is verifiable and resilient against Byzantine faults.
Developed (S)AGE, a governed institutional memory layer for multi-agent systems.
Implemented a Proof of Experience (PoE) validation protocol alongside consensus mechanisms.
Utilized a 4-node Byzantine Fault Tolerant (BFT) network for production deployment.
Included cryptographic audit trails and hierarchical governance in the architecture.
Achieved 956 requests per second in submissions.
Recorded 21.6 milliseconds for P95 query response times.
Demonstrated verified Byzantine fault tolerance in operation.

Abstract

LLM-based agent systems have made significant progress on persistent memory, yet critical gaps remain in governed multi-agent knowledge accumulation, verifiable provenance, distributed governance, and Byzantine-resilient validation of learned knowledge. We present (S)AGE (Sovereign Agent Governed Experience), a governed, verifiable, experience-weighted institutional memory layer for multi-agent systems. (S)AGE extends existing agent memory architectures with consensus-validated knowledge management backed by a novel Proof of Experience (PoE) reputation-weighted validation protocol, cryptographic audit trails, and hierarchical governance including cross-organization federation. We describe a full production implementation deployed on a 4-node BFT network (CometBFT + custom ABCI 2.0 state machine), achieving 956 req/s submissions and 21.6ms P95 queries with verified Byzantine fault tolerance.

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