人工智能代理：加密货币创新的下一个前沿

2024 年最重要的新兴趋势之一是人工智能 (AI) 与加密生态系统之间的相互作用。

The interplay between artificial intelligence (AI) and the crypto ecosystem has emerged as one of the most significant trends of 2024. While this integration has historically been limited to the infrastructure level, affecting aspects like decentralized compute, storage, model training and inference, recent months have seen a shift towards a more prominent role for AI agents.

人工智能 (AI) 和加密生态系统之间的相互作用已成为 2024 年最重要的趋势之一。虽然这种集成历来仅限于基础设施级别，影响去中心化计算、存储、模型训练和推理等方面，但最近几个月来，人工智能代理的作用逐渐变得更加突出。

AI agents are essentially autonomous programs designed to perform specific tasks, ranging from sharing memes on X to executing complex on-chain transactions that optimize trade execution or yield farming strategies. Unlike standard bots, AI agents are capable of learning best practices over time and making undefined decisions to achieve predefined goals. They can be likened to highly skilled and evolving crypto participants that navigate the digital economy autonomously.

人工智能代理本质上是自主程序，旨在执行特定任务，从在 X 上共享模因到执行复杂的链上交易以优化交易执行或流动性耕作策略。与标准机器人不同，人工智能代理能够随着时间的推移学习最佳实践，并做出未定义的决策以实现预定义的目标。他们可以被比作高技能且不断发展的加密货币参与者，可以自主地驾驭数字经济。

The value of AI agents extends beyond their utility to include their potential for scaling human capabilities. These agents are no longer merely tools; they are emerging as participants in the on-chain economy, driving innovation across finance, gaming and decentralized social platforms.

人工智能代理的价值不仅限于其实用性，还包括其扩展人类能力的潜力。这些代理不再仅仅是工具，而是工具。他们正在成为链上经济的参与者，推动金融、游戏和去中心化社交平台的创新。

With protocols like Virtuals and open-source frameworks like ELIZA, building, deploying and iterating on AI agents is becoming increasingly simple for developers, enabling them to cater to a diverse set of use cases.

借助 Virtuals 等协议和 ELIZA 等开源框架，人工智能代理的构建、部署和迭代对于开发人员来说变得越来越简单，使他们能够满足各种不同的用例。

Emerging applications of AI agents

人工智能代理的新兴应用

This year offered glimpses of the potential applications for AI agents. From the bizarre rise of the Goatseus Maximus ($GOAT) memecoin to the rapid growth of agent-led experiments, AI agents are beginning to reshape how we interact with technology, culture and finance.

今年让人们看到了人工智能代理的潜在应用。从 Goatseus Maximus ($GOAT) 模因币的奇异崛起，到智能体主导的实验的快速发展，人工智能智能体正在开始重塑我们与技术、文化和金融互动的方式。

Terminal of Truths (ToT) , an AI agent trained on a satirical internet religion, received a grant from prominent venture capitalist Marc Andreesen and went on to amass over 200,000 followers, becoming crypto’s first AI KOL (key opinion leader) and millionaire as it drove $GOAT to a market cap of more than $1 billion.

Terminal of Truths (ToT) 是一位受过讽刺性互联网宗教训练的 AI 代理，它获得了著名风险投资家 Marc Andreesen 的资助，并积累了超过 20 万粉丝，成为加密货币领域的第一位 AI KOL（关键意见领袖）和百万富翁。 $GOAT 市值超过 10 亿美元。

While ToT might feel like an anomaly, it serves as a proof of concept for how AI agents can drive community-building, capture attention and fuel the next generation of on-chain activity. Since then over 11,000 agents have launched on the leading platform Virtuals, which may seem like a lot yet pales in comparison to pump.fun which is averaging 4x that every single day. While most of the agents launched are simple bots that simply propagate memes, we’re also seeing agents such as aixbt, which provides sophisticated investment research, and zerebro, which creates unique digital art. These applications may appear niche, but they offer a glimpse into the growing design space for AI agent innovation.

虽然 ToT 可能感觉有些异常，但它可以作为人工智能代理如何推动社区建设、吸引注意力并推动下一代链上活动的概念证明。从那时起，超过 11,000 个代理在领先的平台 Virtuals 上推出，这可能看起来很多，但与每天平均 4 倍的 Pump.fun 相比却相形见绌。虽然推出的大多数代理都是简单的机器人，只是传播模因，但我们也看到了诸如提供复杂投资研究的 aixbt 和创造独特数字艺术的 zerebro 等代理。这些应用程序可能看起来很小众，但它们让我们得以一睹人工智能代理创新不断增长的设计空间。

Why crypto is the frontline for AI agent development

为什么加密货币是人工智能代理开发的前沿

Unlike the core foundational AI models that are developed behind the walled gardens of OpenAI and Anthropic, AI agents are being innovated in the trenches of the crypto world. And for good reason. Blockchains provide the ideal infrastructure as they offer permissionless and frictionless financial rails, enabling agents to seed wallets, transact and send funds autonomously — tasks that would be unfeasible using traditional financial systems.

与 OpenAI 和 Anthropic 的围墙花园背后开发的核心基础人工智能模型不同，人工智能代理正在加密世界的战壕中进行创新。这是有充分理由的。区块链提供了理想的基础设施，因为它们提供了无需许可且无摩擦的金融轨道，使代理能够自主播种钱包、交易和发送资金——使用传统金融系统无法完成这些任务。

In addition, the open-source nature of crypto allows developers to leverage existing frameworks to launch and iterate on agents faster than ever before. With more no-code platforms like Top Hat gaining traction, it’s only getting easier for anyone to be able to launch an agent in minutes. Add in the financial incentive in which agents that gain traction tend to have a rise in price similar to your run-of-the-mill memecoin, potentially making the creator huge amounts of money, and you can see how this environment is ripe for attracting talent and accelerating progress.

此外，加密货币的开源性质允许开发人员利用现有框架以比以往更快的速度启动和迭代代理。随着像 Top Hat 这样的无代码平台越来越受欢迎，任何人都可以在几分钟内轻松启动代理。再加上经济激励，获得吸引力的代理往往会像普通的模因币一样价格上涨，有可能使创造者赚到巨额钱，你可以看到这种环境如何吸引人人才和加速进步。

What AI agents will do in 2025

2025 年人工智能代理将做什么

If 2024 laid the foundation for AI agents, 2025 will be the year they scale. Three trends will drive this evolution:

如果 2024 年为人工智能代理奠定了基础，那么 2025 年将是它们规模化的一年。三个趋势将推动这一演变：

First, agent-to-agent and human-to-agent interactions will proliferate. Decentralized social platforms like Warpcast have already shown how agents can launch tokens, trade autonomously and interact with communities. As tools for creating agents become more accessible, these interactions will become a defining feature of the on-chain experience.

首先，智能体与智能体之间以及人与智能体之间的交互将会激增。像 Warpcast 这样的去中心化社交平台已经展示了代理如何发行代币、自主交易以及与社区互动。随着创建代理的工具变得越来越容易使用，这些交互将成为链上体验的一个决定性特征。

Second, AI agents will dominate financial activity on-chain. As developers build agents capable of optimizing trades, managing wallets and automating yield strategies, the financial infrastructure of crypto will become increasingly autonomous. Blockchain’s efficiency, combined with agents’ adaptability, will position crypto as the preferred environment for financial AI.

其次，人工智能代理将主导链上金融活动。随着开发人员构建能够优化交易、管理钱包和自动化收益策略的代理，加密货币的金融基础设施将变得越来越自治。区块链的效率与代理的适应性相结合，将使加密货币成为金融人工智能的首选环境。

Finally, agent-led ecosystems will reshape gaming and entertainment. Projects like Wayfinder and Echelon Prime’s Parallel Colony point to a future where AI agents not only participate in games but also manage assets, coordinate strategies and drive entire in-game economies. These agents will blur the lines between players, developers and automated participants, creating new dynamics for virtual worlds.

最后，代理主导的生态系统将重塑游戏和娱乐。 Wayfinder 和 Echelon Prime 的 Parallel Colony 等项目预示着未来，人工智能代理不仅可以参与游戏，还可以管理资产、协调策略并推动整个游戏内经济。这些代理将模糊玩家、开发人员和自动化参与者之间的界限，为虚拟世界创造新的动力。

The rise of AI agents marks a new chapter for both artificial intelligence and blockchain technology. While the applications we’ve seen so far — from memecoins to agent-led communities — may feel experimental, they mark a preview of the impact these agents will have as they

人工智能代理的兴起标志着人工智能和区块链技术的新篇章。虽然我们到目前为止看到的应用程序——从模因币到代理主导的社区——可能感觉是实验性的，但它们标志着这些代理将产生的影响的预览。