Google Cloud Ditches Vector Databases for Continuous Memory

Google Cloud released a new tool called the Always-On Memory Agent. Instead of using complex vector search, it keeps memory as a constant running process. This method relies on the new Gemini 3.1 Flash-Lite model to handle information.

The system uses three simple sub-agents to do the work. These agents read incoming data, connect it to existing information, and write everything into a SQLite database. This happens around the clock to keep your records updated.

This approach avoids the common steps of creating embeddings or searching through external databases. By focusing on direct memory consolidation, the system stays fast and efficient. It represents a big shift in how AI remembers and processes long-term data.