How We Agent

Most teams building agents run into the same problem: each agent accumulates its own private memory, and the organisation quietly acquires a dozen new information silos.

This episode is about addressing that at the database layer rather than the application layer. Yugabyte's new product, Meiko, gives agents shared memory and knowledge, so context compounds across agents.

The more interesting part is what they've built on it internally worth a listen if your agents keep re-learning what the last one already knew.

What is How We Agent?

"How We Agent" is Lyzr AI's podcast and video series taking you inside real enterprise AI deployments with sovereign AI, agentic automation, and the production-ready agents actually running in the world's biggest companies. Each episode sits down with industry leaders building (and governing) AI agents at scale