Agent Memory Is Solved. Agent Learning Isn't. — Karthik Ranganathan, Yugabyte
Agent memory is solved; cross-agent learning and context sharing remains an unsolved infrastructure problem.
“Agent memory is a solved problem, but agent training is not.”
Yugabyte CEO Karthik Ranganathan argues that while single-agent memory (feeding and retrieving from a context store) is effectively solved, the harder problem is enabling groups of agents to share experiences and learn collectively — not just exchange output artifacts. Yugabyte spent nearly a year failing to ship four internal and external agents before tracing the root cause to data infrastructure mismatches between per-agent memory stores and the infrastructure needed for shared, multi-agent learning. The talk frames multi-agent context sharing as the next critical unsolved layer in the AI stack, positioning data infrastructure companies as key enablers.