Google details two-tier agent memory on Valkey + AlloyDB AI, cutting token spend up to 70%
dl_weekly · x · 2026-10-14
A Google Cloud blog details a two-tier agent memory architecture: Memorystore for Valkey as short-term buffer and AlloyDB AI for long-term persistence, cutting token spend by up to 70% while keeping enterprise guardrails. Using a multi-day travel-booking agent as an example, it shows how stateless LLMs need an application-layer memory to preserve user preferences across sessions.
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