Most chains treat data like luggage: you can store it, move it, prove you have it but it doesn’t do anything. Vanar’s pitch with myNeutron is different. The claim is that data should behave like working memory onchain, so apps and agents can use it directly instead of constantly reloading context from the outside.
The way they frame it is semantic compression. Instead of keeping every raw detail in full, you compress meaning into a smaller representation that’s still useful for retrieval and reasoning. Think of it like you don’t need the entire conversation transcript every time what you need is the parts that matter, in a form that can be recalled fast.
That’s where “Seeds” come in. A Seed is basically a compact, structured memory unit a snapshot of “what matters” about some data or event. Not a giant blob. More like a distilled reference you can query, recombine, and update. The benefit is that onchain workflows can point to Seeds and stay lightweight while still being context aware.
Why does Vanar care? Because AI and automation break when context is off chain. If an agent has to fetch memory from five external services, you get latency, inconsistencies, and trust gaps. If memory is native compressed, queryable, and settled you can build agents and apps that don’t just store information, but operate on it.
So when Vanar says “data should work onchain,” they’re really saying the chain shouldn’t just be a settlement layer. It should also be a reliable memory layer that products can use without brittle dependencies. That’s the myNeutron angle: turning storage into usable state, not passive archives.