Yugabyte Launches Meko, a Data Infrastructure to Solve the Multi-Agent Memory and Knowledge Problem

Yugabyte Launches Meko, a Data Infrastructure to Solve the Multi-Agent Memory and Knowledge Problem

SUNNYVALE, Calif.--(BUSINESS WIRE)--May 7, 2026-

MongoDB targets AI’s retrieval problem

For all their technical capabilities, large language models (LLMs) still have a memory problem. They can lack the ability to retain context across conversations, and don’t always contain the frameworks to let them access relevant data, ultimately making their results unreliable and untrustworthy. NoSQL database pioneer MongoDB is taking on this problem, releasing new persistent memory, retrieval, embedding, and re-ranking features, all integrate…

MongoDB expands AI platform with agent memory and real time vector search - CIO&Leader

Advertisements MongoDB has introduced new AI-focused capabilities aimed at helping enterprises run AI agents in production environments. The updates include automated vector embeddings, persistent agent memory, performance improvements in MongoDB 8.3, and expanded deployment support across cloud and hybrid infrastructure. The company said enterprises often struggle to combine multiple tools for vector search, memory management, embeddings, and o…