The New Trend of Web3 and AI Integration: AI Agents and Their Potential Projects Analysis

In the first half of this year, the total market capitalization of the cryptocurrency market grew by 37.3%. Among them, Memecoin, AI, and RWA performed the strongest. Especially AI-related projects, second only to Memecoin, continue to maintain strong momentum.

The combination of Web3 and AI has become a focal point of interest for major venture capitalists, and it's not just a passing trend. With the development of the traditional AI sector, the Web3 x AI field is also continuously innovating. In the first half of this year, a large number of Web3 x AI Agent projects were launched, such as Spectral and Olas Network, while some older projects like Fetch.AI and Phala are also keeping up with this trend. At the recently concluded ETHCC conference, many Web3 developers and top venture capitalists focused their attention on the new narrative of AI Agents.

Overview of AI Agent

AI Agent is an "agent" based on the large language model (LLM), capable of perceiving the environment, understanding autonomously, independent thinking, decision-making, and executing actions. Its core functions can be summarized in three steps: perception, planning, and action.

Unlike AI chatbots like ChatGPT, AI Agents are designed to perform autonomous tasks and have the capability to take independent actions. Users only need to provide a goal, and the AI Agent can automatically complete the relevant tasks.

The New Transformation Brought by the Combination of Web3 and AI Agents

Web3 can bring the following advantages to AI Agents:

1. Anti-censorship: Decentralized LLM can reduce information censorship.
2. Decentralization/Ownership: Core data is no longer centralized with AI providers
3. Monetization: Providing new monetization avenues for AI Agent developers and investors.
4. Composability: Achieving interoperability between AI Agents

AI Agents can also bring new possibilities to Web3:

1. Conversational AI Agent on Chain: Simplifying the Web3 User Chain Research Process
2. Liberating on-chain user operations: changing the way users interact with Web3, promoting large-scale applications.

Currently, Web3 x AI Agents are mainly divided into two categories:

• Web2-style on-chain dialogue AI Agent: used for learning professional knowledge and on-chain research, does not include on-chain operations.
• Web3 Native AI Agent: Includes on-chain operations, able to assist users in achieving specific on-chain interactions.

Typical Project Analysis

Spectral( has on-chain operational capabilities)

Spectral is a machine intelligence network that allows users to build on-chain AI Agents, forming an on-chain agency economy. Its main products include:

• Spectral Syntax: Officially developed collection of Agents
• Spectral Nova: Decentralized Machine Learning Inference Platform
• Agent Wallets: Wallets integrated with AI Agents
• Inferchain: A Layer 1 based on AI Agents

Spectral achieves ecological incentives through the $SPEC token, has been listed on multiple exchanges, and has a circulating market value of $85 million.

GaiaNet( does not have on-chain operation capabilities)

GaiaNet is a distributed AI infrastructure that is developing into a decentralized AI Agent ecosystem. Its core components include:

• GaiaNet Node: A software stack for the rapid deployment of AI Agents
• GaiaNet Domain: A collection of specialized AI Agents in specific fields
• GaiaNet DAO: ecological governance mechanism

GaiaNet brings the Web2 AI Agent ecosystem on-chain, making it easier for developers to deploy AI Agents in specialized fields.

Other Early Projects

• Zotto: Users can create AI Agents to realize trading intentions.
• AgentLayer: A Layer 2 built on the OP Stack
• Olas Network: Off-chain AI Agent Ecosystem
• Theoriq: Modular and Composable AI Agent Foundation Layer
• AgentCoin: Universal Web3 AI Agent
• Giza: Web3 AI Agent Framework

The combination of AI agents and Web3 is opening up new possibilities, making it worthwhile to continuously pay attention to innovations and developments in this field.