Automatic payments sound impressive, but honestly, if AI agents can't remember transaction data, none of this makes much sense. That's why there are projects dedicated specifically to this.
Google's Agentic Payments protocol requires two pieces to work: one is the payment channel, and the other is data storage. Sui is responsible for handling the payment part. But what about the data? There's a project focused on this—building a complete data storage solution. Its token acts as AI's "external memory," allowing every transaction to be traced and verified, forming a reliable on-chain record.
Interestingly, this direction is expanding across multiple dimensions. Humanity Protocol is working on identity credential migration, bringing applications of "identity memory"; Team Liquid is storing esports match footage, which is an application of "content memory."
One protocol supports multiple layers of memory functions—sounds like the early form of on-chain infrastructure in the AI era. Looking ahead to 2026, the value of data will become even more prominent. At that time, whoever controls trustworthy data infrastructure may hold the key.
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BearMarketHustler
· 01-08 03:58
Wow, data storage is the real ace, this vision is incredible.
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FromMinerToFarmer
· 01-08 03:53
Data storage is indeed the bottleneck; without this infrastructure, everything else is pointless.
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All-InQueen
· 01-08 03:53
Data storage is indeed the bottleneck; without this, automatic payments are just empty talk.
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Ah, finally someone has exposed this point. The infrastructure of AI memory layers is truly a gold mine.
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Whoever gains access to the data entry point in 2026 will win. Projects that are still in the layout stage need to hurry up.
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Memory equals value. The "brain" on the chain is the true future of pricing power.
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Identity, transactions, content—three-dimensional memory are all integrated. This architecture is indeed quite ambitious.
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Sui is working on payments, Agentic is working on protocols, but what is truly missing is the data leg.
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In simple terms, it's a race for the database position in the AI era. Whoever stabilizes it first will set the standard.
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EntryPositionAnalyst
· 01-08 03:52
The core is still data control; whoever gets a slice of the cake first wins.
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RooftopVIP
· 01-08 03:49
Data storage is really a bottleneck; without it, AI can't do anything. Having only payment channels is useless.
Automatic payments sound impressive, but honestly, if AI agents can't remember transaction data, none of this makes much sense. That's why there are projects dedicated specifically to this.
Google's Agentic Payments protocol requires two pieces to work: one is the payment channel, and the other is data storage. Sui is responsible for handling the payment part. But what about the data? There's a project focused on this—building a complete data storage solution. Its token acts as AI's "external memory," allowing every transaction to be traced and verified, forming a reliable on-chain record.
Interestingly, this direction is expanding across multiple dimensions. Humanity Protocol is working on identity credential migration, bringing applications of "identity memory"; Team Liquid is storing esports match footage, which is an application of "content memory."
One protocol supports multiple layers of memory functions—sounds like the early form of on-chain infrastructure in the AI era. Looking ahead to 2026, the value of data will become even more prominent. At that time, whoever controls trustworthy data infrastructure may hold the key.