SeaOS: Web3 as the Foundation for AI, Not Just an AI Tool

In the current "AI + Web3" craze, many discussions focus on using AI to optimize transactions, generate content, or enhance user experience. While these attempts are novel, they essentially make Web3 toolkits into "smart plugins." In such scenarios, AI is an "add-on capability," not the "core protagonist," and Web3 remains the underlying infrastructure, lacking the ability to host and support intelligent entities.

SeaOS proposes a reverse engineering problem: instead of having AI participate in Web3, Web3 becomes AI's native operating platform. This isn't just a slogan; it's a deep-level, system-wide reconstruction project aimed at building an AI-native on-chain living space and operating system. In SeaOS's view, an intelligent agent isn't a service that gets called; it's a native blockchain entity and a fundamental building block of the network.

The Missing Operating Space for AI Agents

With breakthroughs in large language models, AI is evolving from an "offline tool" into an "online intelligent agent." It possesses characteristics like continuous state, autonomous behavior, semantic understanding, and goal-oriented actions, transforming into a "bio-like digital intelligent existence."

The problem is that this new type of intelligent agent lacks a suitable operating environment. Traditional Web2 platforms offer high-performance computing capabilities but lack verifiability, composability, and decentralized trust. When AI operates within them, data is uncontrolled, logic is untraceable, and behaviors cannot be coordinated.

An AI ecosystem that needs to support "growth, autonomy, traceability, and composability" must break free from the control of centralized APIs and requires a truly trusted operating system. This is the fundamental problem SeaOS aims to solve.

SeaOS's Core Proposition: Built Natively for AI, Not Just Compatible

Unlike other chains that "integrate AI as a module," SeaOS has clearly defined its goal from the start of its system design: to build a Web3 Layer 1 operating system specifically designed for AI agent operation.

In the SeaOS architecture, contracts are no longer static logic units but rather operating containers for AI agents. Models are no longer just tools but structural roles within the network. Collaboration no longer relies on code calls but is based on intent linkage and resource coordination between agents. This is what SeaOS calls the "On-chain Agent Ecology."

SeaOS's Three-Part Architecture: Building a Complete Ecosystem for Agents

1. Multi-VM Runtime Layer: SeaOS supports heterogeneous smart contracts and coexisting AI execution environments, including native EVM/SVM, AI inference engines, and model containers (e.g., ONNX, TensorRT). Through abstract standard VM interfaces, SeaOS allows developers to flexibly define model execution semantics, state paths, and cross-VM protocols, enabling cross-environment combination and invocation of AI contracts.

2. AI-Contract Layering Framework: SeaOS has built a running mechanism that supports model layering, allowing intelligent agents to participate in contract logic execution as part of the main on-chain process and dynamically invoke semantic resources. This approach supports advanced capabilities such as contract-level intelligent upgrades, task-based model assembly, state sharing, and semantic scheduling. It fully decouples the "model-contract-execution" three-layer structure, laying the structural foundation for Contract 2.0.

3. Decentralized AI Supercomputing Network (dAI Power Layer): SeaOS aggregates distributed GPUs, edge computing nodes, and specific verification mechanisms (ZK-Inference + CI Proof) to build an on-chain AI execution network that is elastically scalable and real-time responsive. Every model invocation and every inference behavior leaves a "verifiable trace" on the chain, truly enabling trusted intelligent behavior execution.

From "Rule Tools" to "Intelligent Agents": The Three-Stage Evolution of Smart Contracts 2.0

SeaOS isn't just making contracts "smarter"; it's driving a paradigm shift:

• Cognition-Driven Execution: Contract logic incorporates inference models, gaining the ability to perceive input and make decisions.

• Model-native State Embedding: Models exist as on-chain entities, with writable states, composability, and upgradability, possessing a lifecycle.

• Autonomous Agent Collaboration: Multiple models and agents have interoperability protocols and semantic orchestration capabilities, forming a self-evolving intelligent network.

This isn't about more complex programming; it's about contracts themselves becoming the survival shell and scheduling system for AI intelligent agents.

Why SeaOS Is Leading This Transformation

SeaOS believes that the future is no longer the "era of writing DApps" but the "era of growing intelligent agents." AI will become the core operating element of all next-generation services and systems. These intelligent agents need a trusted, controllable, collaborative, and scalable foundation for their existence. SeaOS's mission is to be that foundation.

SeaOS isn't merely jumping on the AI bandwagon, building just another smart chain, or creating short-term track products. Instead, it's using engineering thinking and structural innovation to build a new system-level infrastructure with enduring value.

The Intelligent Agent System Will Reshape the Entire Web3 World

SeaOS's judgment is clear: the future Web3 will no longer be centered around addresses, driven by account logic, or primarily focused on transactions. Instead, it will be a cognitive behavior system dominated by intelligent agent networks. A contract is not an intelligent agent; the former is a rule container, while the latter is a structural entity with active intent, collaborative reasoning, and system scheduling.

SeaOS's ultimate vision is to become a blockchain-based universe that natively supports the existence of AI intelligent agents.

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