L ecosystem, GAME provides developers with a complete set of tools and resources, including the $VIRTUAL wallet, NFT market, and social graph, accelerating the development and iteration of AI agents.output: title: Agentic Economy: Exploring the New AI Age

In order to better achieve value capture, we will evaluate projects based on the following framework, covering multiple assessment items such as whether they are open source, key differentiators from existing AI protocols, long-term revenue channels, and ecosystem agent transaction volumes.

decentralized computing network and decentralized autonomous organization (DAO) structure, the project aims to establish a sustainable and open AI agent ecosystem.

GAME's technical architecture is centered on a decentralized computing network that provides powerful computing capabilities for AI agents. Developers can seamlessly integrate their agents into the network, allowing them to participate in various decentralized applications (dApps) and interact with other agents autonomously. This capability aligns with the concept of metaverse interoperability, facilitating the migration and aggregation of agents across different virtual worlds.

To enhance sustainability, GAME adopts a decentralized autonomous organization (DAO) structure, enabling community governance over the ecosystem. Token holders can participate in decision-making regarding the development direction, roadmap planning, and resource allocation of the AI agent platform. This governance model aims to ensure the long-term vitality and continuous innovation of the ecosystem.

GAME's value proposition lies in its focus on gaming and metaverse scenarios, offering a specialized framework for developers in these fields. Its decentralized computing network and DAO structure further contribute to the sustainability and openness of the ecosystem. However, it is worth noting that GAME's market positioning is relatively narrow compared to other frameworks, which may limit its broader applicability in other domains. In the future, expanding the framework's versatility and compatibility could enhance its overall value and market competitiveness.

8. Tools & Infrastructure

AI Agents in the crypto space are rapidly evolving, presenting a diverse range of applications from social interaction and community AI to DeFi automation and NFT traders. However, these agents often encounter technical difficulties during development, such as a lack of standardized interfaces for interacting with different platforms,不便快捷地接入主流社交平台、DeFi 应用、NFT 交易所等核心应用场景的 API，需要开发者自行爬虫或二次开发；难以实现多平台统一用户操作，用户在不同平台需要重新注册账户、导入私钥等繁琐操作，不利于提升用户粘性和留存率。针对这些痛点，AI Agent 工具及基础设施应从以下方面入手：统一不同平台的交互接口，提供开箱即用的社交平台、链上数据、DeF i、NFT 等主流应用场景的统一API，降低开发者接入成本；多平台兼容，支持主流区块链和社交平台，实现用户跨平台统一操作，提升用户体验和粘性；模块化、可扩展，抽象出基础功能，如向量存储、LLM 模型切换等模块，供开发者灵活组合，满足不同需求，无需重复开发。此外，考虑到当前阶段的 AI Agent 主要应用于 Web2 场景，Web2 数据的便捷接入也是考量指标之一。

Here is a detailed comparison of mainstream crypto AI Agent tools and infrastructure in various dimensions:

CyberConnect: Multi-chain Social AI Gateway

CyberConnect positions itself as a multi-chain social AI gateway, aiming to connect Web3 users, dApps, and AI Agents through its unified and decentralized network. Its core value lies in providing a seamless and efficient channel for interactions among these parties, facilitating the development and application of AI Agents in various Web3 scenarios.

CyberConnect's technical architecture is designed to integrate multiple Web3 ecosystems, forming a decentralized network that enables interoperability among different chains. Developers can easily deploy their AI Agents on this multi-chain platform, allowing them to interact with various dApps and protocols across different Web3 worlds. This capability aligns with the concept of metaverse interoperability, facilitating the migration and aggregation of agents in different virtual spaces.

To ensure user sovereignty and data privacy, CyberConnect adopts a decentralized identity (DID) system, enabling users to manage their digital identities and control their data independently. This approach aligns with the ethos of Web3, where users have the autonomy to decide how their data is used and shared, contributing to a more secure and user-centric Web3 environment.

CyberConnect's value proposition lies in its focus on multi-chain and social AI applications, offering a specialized gateway for these agents in the Web3 domain. Its decentralized network and DID system further contribute to the interoperability and privacy of the ecosystem. However, it is worth noting that CyberConnect's market positioning is relatively narrow compared to other frameworks, which may limit its broader applicability in other domains. In the future, expanding the framework's versatility and compatibility could enhance its overall value and market competitiveness.

9. Social AI: Multi-dimensional Value Creation

Social AI is a key application scenario for AI Agents in the crypto space, presenting a wide range of possibilities from community AI assistants and intelligent customer service to personalized social recommendations and AI-driven content creation. These agents can be integrated into various social platforms, such as Discord, X (Twitter), and Telegram, to enhance user engagement, optimize community operations, and create multi-dimensional value in the Web2 and Web3 worlds.

Here is a closer look at the value creation dimensions of Social AI:

Community AI Assistants: AI Agents can serve as community assistants, providing real-time and comprehensive support to community members. They can handle inquiries about project updates