Building multi-agent systems made me realize memory is harder than orchestration

I recently built a small multi-agent memory experiment using Statewave to see how multiple agents could share context over time. Going into it, I assumed the hard part would be orchestration. It wasn't. The hard part was memory. As soon as multiple agents started reading and writing shared context, a few problems showed up: Agents operating on outdated information Different agents reaching different conclusions from the same history Context handoffs losing important details Previously resolved issues resurfacing weeks later Shared memory becoming harder to trust as it grew What I found interesting about Statewave is that it approaches memory as a lifecycle rather than a retrieval problem. Instead of treating memory as an ever-growing collection of chunks, it records events and turns them into structured memories that can evolve over time. That ended up being much more useful than simply adding another vector store. I open-sourced the experiment. Curious how others are handling shared memory and context consistency across multiple agents.