With the launch of Meko, Yugabyte targets the data layer that’s breaking multi-agent AI systems

Roughly 37% of multi-agent system failures aren’t reasoning failures — they’re state failures. Agents working from inconsistent views of what’s already happened, what’s currently true, and what’s already been decided. The MAST taxonomy from Cemri et al. is the first systematic look at this, and the number is a wake-up call: The bottleneck in agentic systems isn’t the model. It’s the memory layer underneath it.