VANRY After the TVK Era: A 1:1 Swap, a Dubai Operator, and the Long Gap Between Partnerships and Proof
Vanar Neutron is one of the few projects I’ve looked at that’s fixated on a boring, expensive failure mode: AI systems that can’t hold onto context.
Their idea is to turn “memory” into a concrete object. Neutron compresses raw stuff—docs, images, even video—into small semantic units they call Seeds, meant to be verifiable and queryable later, not just stored and forgotten. Vanar even puts a number on it: 25MB → ~50KB using layered compression methods (semantic + heuristic + algorithmic), with demos framed around reconstructing the original from that Seed.
What makes it feel more like a builder’s tool than a concept deck is the way they talk about where Seeds live: their docs describe a hybrid approach—stored off-chain for speed, with on-chain verification/ownership when needed.
And they’re not keeping it abstract. myNeutron is positioned as a personal “external memory” layer—one knowledge base you carry across different AI tools—basically admitting the real market is people tired of rebuilding context from scratch.
It’s still early, but the pull is obvious: not faster blocks—just fewer resets.