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Theoriq: AI Agent Cluster Leading the Innovation in Decentralized Finance Liquidity Management
The Rise of AI Agents in the Web3 World
Since the beginning of 2024, AI Agents have rapidly emerged in the Web3 field, with numerous related experiments underway. From the perspective of the entire AI chain, AI Agents not only play the role of "interaction and execution layer" but also represent an intelligent product form aimed at users. As a bridge between model capabilities and specific applications, it encapsulates underlying AI models into intelligent agents with task-oriented and autonomous capabilities, directly executing tasks for users and generating economic activities.
AI Agent Protocol Stack Levels
The AI Agent protocol stack can be divided into three main layers:
Infrastructure Layer: Provides underlying operational support for agents, including core modules such as Agent Framework, Agent OS, as well as supporting modules like Agent DID and Agent Wallet.
Coordination and Scheduling Layer: Focus on multi-agent collaboration, task scheduling, and incentive mechanisms, including Agent Orchestration, Agent Swarm, and Agent Incentive Layer.
Application Layer: Includes distribution subcategories ( such as Agent Launchpad ), application subcategories ( such as AgentFi ), and consumption subcategories ( such as Agent Social ).
AgentFi: Practical Engineering and Verifiable Value Implementation Direction
AgentFi is currently the most promising direction to achieve a balance between "engineering feasibility + business availability." It mainly focuses on the following sectors:
Theoriq: The Evolution of Liquidity Management for Agent Swarm
Theoriq aims to achieve agent economy by coordinating a cluster of AI agents. Its flagship product Alphaswarm has chosen liquidity management, which has the highest technical threshold, as its entry point.
Theoriq Alpha Protocol is a communication and execution protocol stack designed for Agent collaboration, featuring messaging and coordination mechanisms, a public registration system for Agents, and configurable Agent templates.
Alphaswarm is the first multi-agent system built on Theoriq Alpha Protocol, consisting of three core agents: AlphaSwarm Portal Agent, Knowledge Agent, and LP Assistant Agent.
Theoriq Ecosystem Cooperation and Community Development
Theoriq is building an ecological network covering AI infrastructure, data collaboration, computing power acceleration, and community co-construction. It has reached cooperation with Google Cloud, NVIDIA, and others, gaining substantial cloud resources and GPU support.
At the community level, Theoriq launched the "Infinity Swarm" global ambassador program, which quickly gathered a large number of active members through various incentive measures.
Token Economic Model and Governance Mechanism
The $THQ token of Theoriq is the core "fuel" of the decentralized agent network. The total supply is fixed at 1 billion tokens, allocated to core contributors, investment institutions, community incentives, and the treasury.
$THQ holders can participate in the network and earn incentives through various means, including protocol access fees, staking rewards, delegation mechanisms, etc.
Project Financing and Team Background
Theoriq has completed two rounds of financing, with a team composed of AI experts and blockchain engineers from tech and financial giants such as Google and ConsenSys.
Competitive Landscape of the Agent Market
Theoriq has relatively few competitors in the niche direction of liquidity management in AgentFi+DeFi. Unlike general-purpose Agent networks like Olas and Talus, Theoriq explicitly focuses on on-chain application scenarios that are capital-intensive and have frequent interactions in DeFi.
Summary
Theoriq represents the key path for AgentFi from concept to practicality, focusing on the core pain points of DeFi. Its engineering implementation is challenging but feasible, and once breakthroughs are made, it will build a very high barrier to entry. Theoriq has the potential to become a benchmark project for AgentFi's long-term infrastructure.