Blog
Notes on agent memory
Thinking out loud about memory, context, and consistency - and what we're learning while building Jennah with our first design partners.
Beyond the memory layer: why we built a globally-consistent backend for AI agents
Memory is only a fraction of the problem. Production agent stacks are a distributed-systems nightmare of vector stores, relational data, graphs, and homegrown orchestration. Here's how we unified memory, application data, and durable execution into one consistent backend.
Read post →Why agent memory shouldn't be a stack of databases
Most teams glue a vector database to a graph to a log store and spend their time keeping the three in sync. Here's why we think agent memory belongs in one consistent store - and what that unlocks.
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