介绍iagent：用于培训，拥有和货币化AI代理商的分散框架

人工智能景观正在发展。传统的AI模型仍然依赖于静态文本数据和公司控制。

Vancouver, Canada, March 18th, 2025, Chainwire

加拿大温哥华，2025年3月18日，链条

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, reliant on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data.

人工智能景观正在发展。传统的AI模型仍然集中，依赖于静态文本数据和公司控制。 Iagent正在推出一个分散的AI框架，其中使用现实世界的视觉数据在链子上训练，拥有和货币化。

Backed by a recent $3 million investment, iAgent has forged several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. With over 700,000 users on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation.

在最近的300万美元投资的支持下，Iagent与Base，LoyeZero，Avalanche，Aethir，Dionmum和Xai Games等领先项目建立了多个战略合作伙伴关系。 Iagent在其AGNTXP平台上拥有超过700,000个用户，位于AI X Gaming X Depin Innovation的最前沿。

Now, with TGE live, iAgent is laying the foundation for AI Agents to become a new digital asset that can be trained, validated, and exchanged transparently.

现在，随着TGE Live，Iagent为AI代理商成为一个可以透明培训，验证和交换的新数字资产奠定了基础。

“AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations.” — Jamie Batzorig, Co-Founder of iAgent.

“人工智能应分散，透明和货币化。 - 艾格特（Iagent）的联合创始人杰米·巴佐里格（Jamie Batzorig）。

iAgent’s product hub: Powering the AI economy

Iagent的产品中心：为AI经济提供动力

iAgent’s ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework. Each component is designed to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems.

Iagent的生态系统由一套相互联系的产品组成，旨在通过分散的框架来支持AI开发，部署和货币化。每个组件旨在增强各种生态系统中AI模型的可验证性，可伸缩性和可访问性。

Visual learning model (VLM): Adaptive AI training

视觉学习模型（VLM）：自适应AI培训

Unlike traditional AI that relies on text-based training (LLMs), iAgent’s Visual Learning Models (VLMs) enable AI agents to learn from real-world gameplay footage. This approach allows AI to analyze, strategize, and adapt dynamically, making them more intelligent and applicable in real-world scenarios.

与依靠基于文本的培训（LLM）的传统AI不同，Iagent的视觉学习模型（VLMS）使AI代理可以从现实世界中的游戏录像中学习。这种方法使AI可以动态分析，策略和适应，使其在现实世界中更聪明和适用。

iAgent’s VLM-powered AI utilizes real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications:

Iagent的VLM驱动的AI利用房地产商相互作用来增强其适应性，从而在竞争性游戏环境和其他应用程序中对性能进行连续优化：

ERC-** Agent standard: A new AI digital asset class

ERC- **代理标准：新的AI数字资产类别

iAgent’s ERC-** standard will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets. This aims to enable true ownership, trading, and cross-chain utilization without centralized control. While enhancing trust and transparency through provable authenticity and ownership history.

Iagent的ERC- **标准将使AI代理在链上成为可验证，安全和可互操作的数字资产。这旨在实现真正的所有权，交易和跨链利用，而无需集中控制。同时通过可证明的真实性和所有权历史来增强信任和透明度。

AI Agent marketplace: The open AI economy

AI代理市场：开放AI经济

The AI Agent Marketplace serves as the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization. Developers can list AI-powered agents for rental or sale, while businesses and game studios can purchase or integrate AI models tailored to their needs.

AI代理市场是Iagent分散生态系统的基础，实现了无缝的AI模型部署，交易和货币化。开发人员可以列出租赁或销售的AI驱动代理商，而企业和游戏工作室可以购买或集成满足其需求的AI模型。

iAgent DEV hub: Decentralized AI infrastructure

Iagent Dev Hub：分散的AI基础设施

The iAgent DEV Hub acts as the backbone of the protocol, offering developers and AI researchers a comprehensive suite of tools, SDKs, and APIs to build and optimize AI models. It provides a trustless AI validation framework, leveraging on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking.

Iagent Dev Hub充当协议的骨干，为开发人员和AI研究人员提供了全面的工具，SDK和API，以构建和优化AI模型。它提供了一个无信任的AI验证框架，利用链上验证节点，跨模键计算集成和AI执行跟踪。

AI in Gaming: The next evolution of intelligent agents

游戏中的AI：智能代理的下一个演变

Gaming offers high-quality, labeled data, making it a suitable environment for training advanced AI models. iAgent is introducing adaptive AI agents to gaming, facilitating:

游戏提供高质量的标签数据，使其成为培训高级AI模型的合适环境。 Iagent正在将自适应AI代理引入游戏，促进：

iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries.

Iagent的分散AI基础设施将超越游戏，从而创造出适用于行业的开放AI经济。

“Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications.” — MHL Solutions, iAgent Advisor.

“游戏是第一个主要用例，但是我们的AI基础架构将扩展到多个行业。 - MHL Solutions，Iagent Advisor。

Roadmap: From foundation to AI eeconomy

路线图：从基础到AI的自治

2023-2024: Establishing the iAgent protocol

2023-2024：建立Iagent协议

2025: Scaling AI deployment & monetization

2025：扩展AI部署和货币化

March 2025: TGE

2025年3月：TGE

April 2025: First game integration

2025年4月：第一场比赛集成

May 2025: Introducing V2 of the protocol

2025年5月：引入协议的V2

June 2025: Expanding to another major blockchain

2025年6月：扩展到另一个主要区块链

Q3 2025: Launching the AI Agent marketplace

Q3 2025：推出AI代理市场

Q4 2025: Expanding to another DePIN

Q4 2025：扩展到另一个depin