This afternoon I had to call customer support, and the automated system asked me to type in my order number three separate times. Halfway through, I caught myself thinking: if I can’t even remember an order number, why are we calling this artificial intelligence? That’s not intelligence, that’s just automated frustration.
And honestly, this is the weak spot of on chain AI today.
Public blockchains are built with short memory by design. They can validate what you’re doing right now, but they don’t care what happened ten minutes ago. That stateless setup works fine for human transfers. For AI agents that are supposed to operate autonomously, it’s a nightmare. Every restart wipes context. Every interruption breaks continuity.
That’s why what I’m seeing from Vanar Chain caught my attention. They seem to be moving in a very grounded direction. Instead of talking about abstract intelligence layers, they’re focusing on something much more practical. Memory.
Using the Neutron API, they’re working directly with developers who are tired of agents forgetting what they were doing last week. That line alone hits hard if you’ve ever tried to run anything long lived on chain. Vanar isn’t trying to impress anyone. It’s trying to keep things alive.
To me, that’s the real shift. They’re externalizing memory so AI agents don’t reset every time something hiccups. No drama. No hype. Just continuity. It doesn’t sound exciting, but it’s the difference between toys and real workflows.
Yes, the market is quiet. $VANRY is sitting in a corner and nobody is talking about it. But this is exactly where I start paying attention. When everyone else argues about who has the smartest model, a few teams are solving the problem of keeping agents running without falling apart.
I’m not thinking about beliefs here. I’m thinking about production efficiency. If AI needs memory to create value, Vanar hasn’t played its strongest card yet.
