Most chains optimize for execution speed. Vanar Chain is optimizing for memory.
Under the hood, the architecture is clear. Neutron compresses raw data into lightweight, queryable “Seeds.” Not just files, but structured context. Kayon sits on top, turning plain intent into structured retrieval and reasoning. Axon connects it all into operational flows, so memory is not static storage but something agents can act on.
That stack matters.
AI does not struggle with sending transactions. It struggles with remembering what it used, proving the source, and retrieving context without dragging an entire dataset every time. Vanar’s bet is that verifiable, compressed memory becomes a first-class primitive on-chain.
If Seeds can truly reduce heavy data into provable fragments at scale, and if querying that memory remains economically viable, the demand profile changes. Fees are no longer just swaps and minting. They become memory writes and context reads. Different behavior. Different revenue logic.
Most L1s are playgrounds for contracts.
Vanar is positioning itself as infrastructure for agents.
The question is not TPS.
The question is whether on-chain memory becomes a necessity.