人工智慧代理：加密貨幣創新的下一個前沿

2024 年最重要的新興趨勢之一是人工智慧 (AI) 與加密生態系統之間的相互作用。

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.

人工智慧(AI) 和加密生態系統之間的相互作用已成為2024 年最重要的趨勢之一。 ，但最近幾個月來，人工智慧代理的作用逐漸變得更加突出。

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.

人工智慧代理本質上是自主程序，旨在執行特定任務，從在 X 上共享模因到執行複雜的鏈上交易以優化交易執行或流動性耕作策略。與標準機器人不同，人工智慧代理能夠隨著時間的推移學習最佳實踐，並做出未定義的決策以實現預先定義的目標。他們可以被比作高技能且不斷發展的加密貨幣參與者，可以自主地駕馭數位經濟。

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.

人工智慧代理的價值不僅限於其實用性，還包括其擴展人類能力的潛力。這些代理不再只是工具，而是工具。他們正在成為鏈上經濟的參與者，推動金融、遊戲和去中心化社交平台的創新。

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 等協定和 ELIZA 等開源框架，人工智慧代理的建置、部署和迭代對於開發人員來說變得越來越簡單，使他們能夠滿足各種不同的用例。

Emerging applications of AI agents

人工智慧代理的新興應用

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.

今年讓人們看到了人工智慧代理的潛在應用。從 Goatseus Maximus ($GOAT) 迷因幣的奇異崛起，到智能體主導的實驗的快速發展，人工智慧智能體正在開始重塑我們與技術、文化和金融互動的方式。

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) 是一位受過諷刺性網路宗教訓練的AI 代理，它獲得了著名創投家Marc Andreesen 的資助，並累積了超過20 萬粉絲，成為加密貨幣領域的第一位AI KOL（關鍵意見領袖）和百萬富翁。

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.

雖然 ToT 可能感覺有些異常，但它可以作為人工智慧代理商如何推動社區建設、吸引註意力並推動下一代鏈上活動的概念證明。從那時起，超過 11,000 個代理商在領先的平台 Virtuals 上推出，這可能看起來很多，但與每天平均 4 倍的 Pump.fun 相比卻相形見絀。雖然推出的大多數代理商都是簡單的機器人，只是傳播模因，但我們也看到了諸如提供複雜投資研究的 aixbt 和創造獨特數位藝術的 zerebro 等代理商。這些應用程式可能看起來很小眾，但它們讓我們得以一睹人工智慧代理創新不斷增長的設計空間。

Why crypto is the frontline for AI agent development

為什麼加密貨幣是人工智慧代理開發的前沿

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.

與 OpenAI 和 Anthropic 的圍牆花園背後開發的核心基礎人工智慧模型不同，人工智慧代理商正在加密世界的戰壕中進行創新。這是有充分理由的。區塊鏈提供了理想的基礎設施，因為它們提供了無需許可且無摩擦的金融軌道，使代理商能夠自主播種錢包、交易和發送資金——使用傳統金融系統無法完成這些任務。

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，加密貨幣的開源性質允許開發人員利用現有框架以比以往更快的速度啟動和迭代代理。隨著像 Top Hat 這樣的無程式碼平台越來越受歡迎，任何人都可以在幾分鐘內輕鬆啟動代理程式。再加上經濟激勵，獲得吸引力的代理商往往會像普通的迷因幣一樣價格上漲，有可能使創造者賺到巨額錢，你可以看到這種環境如何吸引人人才和加速進步。

What AI agents will do in 2025

2025 年人工智慧代理將做什麼

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

如果 2024 年為人工智慧代理奠定了基礎，那麼 2025 年將是它們規模化的一年。三個趨勢將推動這一演變：

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，智能體與智能體之間以及人與智能體之間的互動將會激增。像 Warpcast 這樣的去中心化社交平台已經展示了代理商如何發行代幣、自主交易以及與社群互動。隨著創建代理的工具變得越來越容易使用，這些互動將成為鏈上體驗的決定性特徵。

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，人工智慧代理將主導鏈上金融活動。隨著開發人員建立能夠優化交易、管理錢包和自動化收益策略的代理，加密貨幣的金融基礎設施將變得越來越自治。區塊鏈的效率與代理商的適應性相結合，將使加密貨幣成為金融人工智慧的首選環境。

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.

最後，代理主導的生態系統將重塑遊戲和娛樂。 Wayfinder 和 Echelon Prime 的 Parallel Colony 等計畫預示著未來，人工智慧代理商不僅可以參與遊戲，還可以管理資產、協調策略並推動整個遊戲內經濟。這些代理商將模糊玩家、開發人員和自動化參與者之間的界限，為虛擬世界創造新的動力。

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

人工智慧代理的興起標誌著人工智慧和區塊鏈技術的新篇章。雖然我們到目前為止看到的應用程式——從模因幣到代理主導的社區——可能感覺是實驗性的，但它們標誌著這些代理將產生的影響的預覽。