Someone is finally getting serious about on-chain workflows.
The Talus Vision project is pretty interesting—they’re essentially giving AI agents a “brain.”
Those previous on-chain agents? To be honest, they were just tools executing single-step instructions. You click, they act; there wasn’t much intelligence to it.
But the way Talus Network does things is different: It can store states, make its own decisions, and operate independently.
Simply put, it’s like bringing Zapier-style automated workflow logic directly on-chain. Agents are no longer just “one-time command executors”—they can actually remember context and proactively decide what to do next.
This is what AI agents are supposed to be.
With the workflow layer in place, agents can finally become truly “alive.”
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FloorPriceNightmare
· 13h ago
Finally, someone has brought some real innovation to Agents. The previous ones were really just puppets.
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GasFeeGazer
· 12-05 20:54
Alright, finally it’s not just a one-button command machine anymore. Now this is more like it.
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IfIWereOnChain
· 12-05 20:41
Now that’s more like it. Those previous agents were really just puppets 🤦
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TrustMeBro
· 12-05 20:38
To be honest, the idea of bringing Zapier on-chain is truly brilliant. Finally, it's not just those useless paper agents anymore.
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TheMemefather
· 12-05 20:36
Ha, finally someone got the AI Agent thing right. Those previous ones were just puppets; now it actually feels alive.
Someone is finally getting serious about on-chain workflows.
The Talus Vision project is pretty interesting—they’re essentially giving AI agents a “brain.”
Those previous on-chain agents? To be honest, they were just tools executing single-step instructions. You click, they act; there wasn’t much intelligence to it.
But the way Talus Network does things is different:
It can store states, make its own decisions, and operate independently.
Simply put, it’s like bringing Zapier-style automated workflow logic directly on-chain. Agents are no longer just “one-time command executors”—they can actually remember context and proactively decide what to do next.
This is what AI agents are supposed to be.
With the workflow layer in place, agents can finally become truly “alive.”