How to implement long-term AI agent memory in AlloyDB and Memorystore for Valkey

From the source: Google Cloud Blog

Enterprise AI agents need persistent memory to execute complex, multi-day workflows and long-horizon tasks. In this blog, we examine how a 2-tier memory architecture using Memorystore for Valkey for short-term buffer memory and AlloyDB AI for long-term persistent memory can help reduce token spend by up to 70%, while maintaining critical data and enterprise guardrails. Imagine building a…

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Originally published by Google Cloud Blog on 2 Oct 2026. Techarda links to the original rather than republishing it. Read the full article →

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