If you’re only tracking AI tokens on
@base , you’re probably missing half the picture.
Agents now need compute, payments, execution, and memory.
I mapped the 5 layers underneath them:
> Layer 1 - Inference & Compute.
> Layer 2 - Payments & Agent Rails.
> Layer 3 - Launch & Ownership.
> Layer 4 - Execution / DeFAI.
> Layer 5 - Data, Memory & Verticals.
Let’s explore here.
Layer 1 - Inference & Compute
Giving agents a brain.
This is where agents access models and compute.
@AskVenice -
$VVV private inference for AI agents.
@OpenGradient - local/private AI agents through DreamFort.
@usedotai -
$DOT high scale inference; the source notes 7.71B tokens processed in 2 weeks.
@OpenProtocolFND 500+ models, datasets, and GPU access through one API, with x402 settlement
AI compute is becoming a resource that agents can discover, consume, and pay for on their own.
Layer 2 - Payments & Agent Rails
Giving agents a bank account and permissions.
Once agents start using APIs or managing assets, they need to spend autonomously without having unlimited control.
@BlockRunAI lets agents pay for AI requests through x402.
@openservai -
$SERV reasoning infrastructure connected with Coinbase AgentKit.
@ClawBankHQ -
$CLAWBANK scoped API keys, risk classes, and verifiable actions.
@wardenprotocol -
$WARDEN identity, balances, and delegated spending for agents.
An agent wallet is evolving from a place to hold tokens into a payment + identity + permission layer.
Layer 3 - Launch & Ownership
Turning agents into economic assets.
Base already has strong token-launch infrastructure, so AI is naturally getting its own ownership layer.
@virtuals_io -
$VIRUALs tokenized agents and AI-managed teams/treasuries.
@clanker_world -
$clanker social/Farcaster-native token launches.
@gitlawb deploy a token and lock LP in one transaction.
@flaunchgg air-launch infrastructure using Uniswap v4 hooks.
Base isn’t just hosting AI apps. It’s also building markets where agents can be owned and monetized.
Layer 4 - Execution / DeFAI
Giving agents the ability to actually do things.
This is probably the most important layer.
@bankrbot limit, TWAP, stop, and DCA orders.
@DopaMintLabs turns chat/iMessage commands into on-chain actions.
@basemateagent stablecoin routing through SMS.
@aeonframework autonomous agents running through GitHub Actions and paying through x402.
AI is moving from answering to executing.
Instead of users clicking through multiple DeFi interfaces, they give an intent and let the agent handle execution.
Layer 5 - Data, Memory & Verticals
Giving agents memory and specialization.
Without memory, an agent is still mostly a stateless chatbot.
@reppo datanets for agents.
@sibylcap agent memory infrastructure and benchmarks.
@hellominds_ persistent agents with memory, identity, and skills.
@QuotientHQ forecasting agents.
@Auki AI agents moving into robotics and spatial infrastructure.
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After DeFi agents, the stack is starting to branch into forecasting, consumer AI, music, and robotics.
AI agents brought attention to Base.
But the real buildout is now happening one layer deeper across the infra they depend on.
Compute, payments, execution, ownership, and memory: these are the 5 sectors I’m watching.