Agent Memory Is Solved. Agent Learning Isn't. — Karthik Ranganathan, Yugabyte

תקציר מקורי באנגליתOne agent can remember. A team of agents still can't learn together. Karthik Ranganathan, co-founder and co-CEO of Yugabyte, explains why per-agent memory is a solved problem but shared learning across agents isn't. When one agent hands work to another, it passes on the output but loses the reasoning, the dead ends and the context, so the next agent burns tokens re-deriving it all. He covers five misconceptions about memory, what Yugabyte got wrong building its own agents, and how fixing its RAG pipeline one variable at a time took faithfulness from 14% to 82% with about one-seventh the context. Then Heather Downing demos Meko, Yugabyte's agent-native persistence layer, resuming sessions across agents and promoting private memories into shared data packs. In this talk: • Why more memory, s