Vanar Chain’s Agent Coordination Reply: Why Their Take on the “Brownie Recipe Problem” Resonated With My Testnet Builds
Spotted Vanar dropping a reply yesterday to that VentureBeat post about the “brownie recipe problem” (LLMs needing fine-grained context for real results). They said something like “modular, context-aware agents are essential. Splitting reasoning across specialized microagents.” Hit me hard because I’ve been building exactly that on their testnet.
Last night in Kyiv (power flickered once from the wind, but testnet stayed up), I split a simple agent into micro-pieces: one for compressing transaction history into Seeds, another for Kayon risk reasoning, a third for auto-approving small PayFi-like transfers if conditions met. Used their Python SDK—deployed in ~10 mins, fees negligible. It coordinated without me intervening, keeping context across steps thanks to persistent Seeds. No “forgetting” like I’ve seen on other chains.
Vanar’s comment nailed why this matters: real agentic AI isn’t one big brain; it’s specialized pieces talking on-chain. Their replies lately (to Fetch.ai, WIRED, a16z) show they’re tuned into the shift from chat to coordination/commerce. With Q1 subs for premium access coming, this feels like the infrastructure for agents that actually run businesses or games autonomously.
I added to my stake after reading it—yields solid, and if modular agents take off, $VANRY gas demand follows. Feels validating when the project echoes what I’m building.
Anyone else splitting agents modularly on Vanar? What’s your setup like?
