Google Cloud releases memory agent that skips RAG and embeddings

Google Cloud published an open reference implementation called the Always-On Memory Agent, built on its Agent Development Kit and Gemini 3.1 Flash-Lite. Instead of a vector database or embeddings, it uses Ingest, Consolidate, and Query sub-agents that continuously read, connect, and write structured memory into a SQLite database.

Why it matters: It's a notable architectural bet against retrieval-augmented generation (RAG), the pattern that has dominated agent memory design for the past few years, in favor of continuous LLM-driven consolidation over vector search. If it holds up in practice, it could shift how agent frameworks handle long-term memory going forward.