Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite
MarkTechPost Michal Sutter
Google Cloud released Always-On Memory Agent, a reference implementation that maintains continuous context for AI agents by running as a 24/7 background process using Gemini 3.1 Flash-Lite and SQLite instead of vector databases and embeddings. The agent consolidates memories every 30 minutes by default, linking related information and generating insights while idle, and supports ingestion of 27 file types across text, images, audio, video, and documents. This approach enables agents to build evolving context over time, allowing applications like research assistants and support systems to answer questions with cited references to previously stored information.
Why it matters
Google Cloud's generative-ai repository ships the Always-On Memory Agent, a reference implementation that treats memory as a running process. Built on Google ADK and Gemini 3.1 Flash-Lite, it uses no vector database and no embeddings. Instead, an orchestrator routes to Ingest, Consolidate, and Query sub-agents that read, connect, and write structured memory into SQLite 24/7. The post Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite appeared first on MarkTechPost.
