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QBX: Deterministic Memory Engine for Autonomous AI Agents | Synapse

March 6, 20260 citationsOpen Access

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QBX: Deterministic Memory Engine for Autonomous AI Agents

MPMichael Item Polanco

Key Points

The aim is to introduce a memory architecture that ensures deterministic storage for AI agents.
Developed a deterministic vault storage system.
Implemented snapshot-based versioning for version control.
Incorporated cryptographic integrity verification for data reliability.
Created portable deterministic memory containers for flexibility.
Establishment of prior art for deterministic memory infrastructures.
Enhanced data integrity and reliability in autonomous AI systems.
Improved architecture leading to better performance in memory management.

Abstract

QBX is a deterministic storage architecture designed for persistent memory systems used by autonomous artificial intelligence agents. The architecture introduces deterministic vault storage, snapshot-based versioning, cryptographic integrity verification, and portable deterministic memory containers. This archive establishes prior art for deterministic memory infrastructures designed for AI-driven systems.

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Cite This Study

Michael Item Polanco (Wed,) studied this question.

synapsesocial.com/papers/69aa70d6531e4c4a9ff5b06b https://doi.org/https://doi.org/10.5281/zenodo.18863810