Discover why standard MCP wiring makes context persistence optional (the model calls the tool only when it decides to) and what to do instead. We walk through how to treat persistence as control flow rather than reasoning, using your own code as the MCP client, so the write always happens. Finally, we prove this with a working Strands agent that logs every step to Meko, and audit the trace from a separate process to confirm the context survived.
Developers and engineering teams building production multi-agent AI applications need their agent systems to learn and improve collectively, not just store and retrieve data. This blog explores Meko’s agent memory features and showcases a short video by Yugabyte Developer Advocate Heather Downing that demonstrates exactly how Meko gives AI agents persistent, shareable memory.
Meko is an agent-native data layer that lives independently of any single AI vendor. It provides agents with a memory that persists across sessions, tools, and time, plus a searchable knowledge base and a full record of how they reached their answers. Discover how to create a free account today and start giving your agents persistent, shareable memory.
With Meko, your project context lives in a datapack any MCP-connected client can read. This allows you to switch tools without losing context, share useful information with your team while keeping selected data private, and capture not just what decision was reached, but why. All this is built on a PostgreSQL-compatible distributed database that scales as you grow. This blog details what each Meko component does, why it’s important, and the steps you need to take to try it for yourself!
During major live sporting events, peak traffic reaches unprecedented levels, and customers expect a flawless in-the-moment experience. The right data infrastructure separates the platforms that win from the ones that fail. This blog uses the FIFA World Cup as an example and explores why successful platforms are building multi-agent systems on a unified data infrastructure to handle seasonal and event-driven traffic spikes.
Meko is the agent-native data infrastructure that enables multi-agent systems to learn together, building collective memory and shared knowledge that compounds across the entire system. Meko solves the data infrastructure headaches developers and engineering teams face when building and shipping production multi-agent AI applications. Find out more.
