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AI agents are quickly becoming a core part of Web3, from trading and coordination to content and onchain automation. But today’s infrastructure isn’t built for their scale. If we want agents to evolve, collaborate, and interact meaningfully onchain, we need execution layers that can support them in real time.
Hyperion is that layer.
Frankly speaking, most Web3 AI today is still surface-level. A Telegram bot here, a meme agent there, novel for a second or two but ultimately forgettable. Our most impactful Web3 moments are usually driven by culture: timelines, charts, memes, and collective energy. Very few of those moments have involved AI. Not yet.
This is not for lack of vision however, it’s a failure of infrastructure.
If we want AI agents that can react to real-time markets, coordinate across apps, and grow alongside communities, we need blockchains that can keep up. That means fast execution, flexible coordination, and enough scalability to support swarms of memory-enabled agents acting in parallel. That’s where Hyperion comes in.
Hyperion is a high-throughput Layer 2 built with Metis technology. It’s designed for intelligent applications and persistent agent ecosystems.
Three key features make it ideal:
Together, these features unlock the kind of environment AI agents need: real-time, scalable, and automated from end to end.
It’s worth going deeper into the most critical feature: parallel execution. Most blockchains process transactions one at a time, like a single-lane road during rush hour. Each car (transaction) waits behind the one in front, crawling forward no matter how urgent the destination.
Now imagine that road becomes a freeway with a hundred lanes. Cars move side by side. Throughput skyrockets. Everyone still gets where they’re going.
That’s what parallel execution enables.
Hyperion doesn’t make agents wait. It gives them lanes. Space to move, act, and evolve in real time. Thousands of transactions can run simultaneously. Agents can mint, trade, message, and coordinate logic without clogging the chain.
LazAI shows what’s possible when agents evolve beyond static bots. It introduces Companion DATs (Data Anchoring Tokens): AI-powered identities that remember, grow, and adapt with their users.
These agents are more than collectibles. Lazbubu DATs are launched via Lazpad, then trained, upgraded, and shaped through interaction for personalization, gameplay, and monetization.
LazAI is built to interoperate with the Metis ecosystem, including scalable infrastructure like Hyperion. With the LazAI Testnet now live, users can begin exploring the next frontier of intelligent, interactive agents.
So what does this next leap in Web3 actually look like? In a word, it’s collective. That means:
This kind of real-time, composable coordination isn’t possible on chains that process transactions one at a time. It requires a network that can support many agents acting simultaneously, continuously, and without delay.
Hyperion unlocks that. It enables a new interaction model where onchain agents form an organism-like interconnectedness.
We’re only at the beginning of what agents can do onchain. The innovations of Hyperion and LazAI are moving us beyond simple LLM wrappers and Telegram hacks. The former gives agents the speed and scale they need. The latter gives them memory, identity, and purpose. Together, they make possible a new generation of AI-native applications, where intelligence flows across the network as freely as value.
