1. Introduction

1.1 The wave of intelligent autonomy in the digital economy

In the context of the rapid evolution of the global digital economy, the integration of artificial intelligence (AI) and decentralized networks (Web3) is reshaping the paradigm of value creation and distribution. According to market research firm Gartner, the global AI market will exceed US$1.2 trillion by 2027, and the compound annual growth rate (CAGR) of Web3-related infrastructure is expected to reach 41.6%. The core driver of this trend isIntelligent autonomy——A capability to achieve efficient, transparent and fair resource allocation through distributed systems, autonomous decision-making and trustless execution.

Intelligent autonomy requires not only technological efficiency, but also ensuring trust, privacy, and dynamic adaptability in a decentralized environment. Multi-Agent Systems (MAS), as a cutting-edge technology in the field of AI, can achieve task decomposition, strategy optimization and real-time response in complex and dynamic environments through the collaboration and competition of multiple autonomous agents. Combined with Web3's blockchain technology and smart contracts, the multi-agent system provides unprecedented possibilities for decentralized finance (DeFi), distributed data management, cross-chain interoperability and other scenarios.

However, the current AI and Web3 ecosystem still faces many challenges:

• AI centralization bottleneck: Traditional AI services rely on centralized computing power and data islands, which limits their application in decentralized environments.
• Web3 is not efficient enough: Existing Web3 infrastructure suffers from high latency and high cost issues in cross-chain interaction, data processing, and intelligent decision-making.
• The conflict between trust and privacy: While users are pursuing efficiency, it is difficult to balance data privacy and operational transparency in a decentralized environment.

Omni Labs was born as a direct response to these challenges. We are committed to building a modular, scalableAI-Web3 Infrastructure Platform, through multi-agent systems and decentralized technology stacks, to provide global users with safe, efficient, and autonomous intelligent services.

1.2 The transformative potential of multi-agent systems

Multi-Agent Systems (MAS) are a core pillar of Omni Labs’ technology vision. Unlike traditional single-model AI, MAS is composed of multiple independent but collaborative agents, each focusing on a specific task (such as market prediction, risk assessment, or transaction execution) and working together through distributed protocols. This architecture demonstrates significant advantages in the following areas:

• dynamic adaptability: The agent can adjust strategies based on real-time data and environmental changes to adapt to complex and changing market conditions.
• Modular expansion: Developers can add new agents through standard interfaces and quickly build customized applications.
• Decentralized collaboration：Through blockchain and zero-knowledge proof (ZK) technology, intelligent agents achieve transparent and verifiable interactions in a trustless environment.

In the Web3 ecosystem, multi-agent systems have a wide range of application scenarios. For example, in DeFi, MAS can coordinate multiple agents for market analysis, liquidity management, and arbitrage execution; in DAO governance, MAS can optimize resource allocation and proposal evaluation through distributed decision-making; in GameFi and NFT markets, MAS can achieve dynamic pricing and cross-chain asset management. These applications not only improve efficiency, but also ensure user sovereignty and data privacy through decentralized mechanisms.

1.3 Omni Labs’ mission and vision

Omni Labs’ mission isBuild a global intelligent autonomous infrastructure through the deep integration of AI and Web3. We believe that the future digital economy should not rely on centralized "black box" services, but should empower every participant through open and transparent protocols. Omni Labs aims to be a cornerstone of this change, providing individuals, developers and organizations with the following core values:

• Inclusive intelligence: Lower the technical threshold through modular AI-as-a-Service (AIaaS), allowing non-technical users to enjoy AI-driven decision support.
• Decentralized trust: Utilize blockchain and ZK technology to ensure that all operations are verifiable and do not require intermediaries.
• Ecological synergy: Build a prosperous Web3 AI ecosystem through open developer tools and incentive mechanisms.