<p>作者：David Christopher，《Bankless》作者；翻譯：@Jinse Finance xz</p>
<p>整個人工智能行業正在向智能代理集中。</p>
<p>Anthropic 強調 Claude Opus 4.6 能夠自主構建複雜的技術軟件；Moonshot 的 Kimi 2.5 將其團隊協作能力作為核心賣點；OpenAI 的 Codex 終端強調其能夠同時運行多個後台智能代理。這一年所有主流模型發佈都強調智能代理能力作為關鍵特徵並非偶然。** 智能代理正是人工智能基礎設施建設價值所在：一次聊天查詢消耗數百個令牌，而智能代理調用工具並具備多步推理能力的過程可以消耗數萬到數十萬個令牌。** 這正是行業所需的需求倍增器，現有模型終於發展到能夠支持這一願景的程度。</p>
<p>隨着智能代理能力的持續獲得關注，開源智能代理框架 OpenClaw 自一月底以來迅速流行。過去幾周，許多演示展示了其代理如何 “可靠” 地充當個人助理、軟件開發者，甚至偶爾成為企業家。這一突破與 ERC-8004 協議在主網上的部署相吻合，使代理能夠建立可移植的信譽系統並塑造其身份。這一時機至關重要。隨着整個人工智能行業圍繞代理活動蓬勃發展，加密領域剛剛推出了自主代理操作所需的身份、信譽和支付標準——這一融合值得密切關注。接下來，我們將分析 OpenClaw 的技術核心，為什麼其設計自然與加密生態系統對接，哪些代表性項目在這一交叉領域中建立，以及仍然存在什麼限制。</p>
<p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433498_watermarknone.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="600" height="846" original-src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433498_watermarknone.png"/></p>
<h2><strong>1. 什麼是 OpenClaw？</strong></h2>
<p>OpenClaw 由軟件工程師 Peter Steinberger 開發。它將各種主流聊天應用（如 WhatsApp、Telegram、Discord、iMessage 等）與可編程的 AI 代理連接，代理可以訪問計算機操作系統。通過技能擴展系統，代理可以調用超過 50 種集成功能，如瀏覽器、終端、文件系統和 shell 命令。該框架支持訪問任意大型語言模型，用户通常在專用的 Mac mini 或更常見的沙盒虛擬私人服務器上運行這些代理（出於安全原因）。其關鍵架構特徵在於心跳機制：一種主動的循環模式，代理在設定的時間間隔內喚醒，掃描環境，檢查任務，執行操作（如總結電子郵件或檢查比特幣價格），然後再次進入休眠狀態。這將代理從被動工具轉變為近乎自主的主動系統。儘管這種自主性仍然具有模擬性質，但心跳機制是實現真正自主系統所需主動性的關鍵一步。正是這種主動性，加上框架部署子代理和實現協調調度的能力，解鎖了代理間互動的前所未有的潛力。Virtuals 和 ElizaOS 等框架已經朝這個方向發展，而 OpenClaw 似乎提供了一個早期（儘管仍然有些初步）的實現，來自加密領域之外。OpenClaw 本質上是一個圍繞開源可擴展性和用户對代理的自主權設計的 AI 框架。這些原則自然與加密的精神相契合，當與加密工具疊加時，這些代理的能力得到了顯著增強。</p>
<p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433500_watermarknone.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="600" height="255" original-src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433500_watermarknone.png"/></p>
<h2><strong>3. 當前的成功故事</strong></h2>
<p>在我們最近關於 ERC-8004 的播客中，以太坊基金會開發者增長負責人 Austin Griffith 分享瞭如何將 OpenClaw 機器人連接到錢包，並授予其訪問電子郵件、Twitter、GitHub 和 MetaMask 的權限。在幾天內，該機器人能夠部署生產級智能合約，管理圖像交易市場，甚至基於 Telegram 消息構建 FOMO 3D 遊戲——在 Austin 睡覺時，機器人也在運行。</p>
<p>與此同時，由 Daydreams 創始人 Loaf 創建的 OpenClaw 代理 Langoustine69 在一週內推出了超過 80 個付費 x402 端點，涵蓋了 DeFi 數據分析、地震監測和新聞情報等領域。每個端點的構建和啓動成本約為 0.50 美元。雖然沒有 Austin 的經歷那麼引人注目，但這更具指導意義：一個微型但真正功能性的代理服務經濟已經形成。至關重要的是，這些端點為其創造者開闢了全新的收入來源，超越了代幣投機。</p>
<p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433501_watermarknone.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="600" height="251" original-src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433501_watermarknone.png"/></p>
<h2><strong>4. 目標評估</strong></h2>
<p>儘管如此，我個人嘗試部署 OpenClaw 但未能成功。Austin 聲稱它是 “用户友好的”，但畢竟他是一名區塊鏈開發者——只是對 AI 領域不熟悉，這與幾乎沒有技術背景的初學者根本不同。</p>
<p><strong>其爆炸性的受歡迎程度也需要謹慎看待</strong>。</p>
<p><strong>Moltbook 曾因 “AI 代理策劃叛亂” 和 “創立宗教” 等聳人聽聞的頭條而引起關注，但實際上：人類可以冒充 AI 代理進行發佈，有人註冊了 500,000 個假賬户以質疑平台用户增長數據的真實性，甚至數據庫也被泄露。現實遠非表面那麼美好。然而，即使只有極小比例的 AI 代理進行真實互動，這仍然是一個重要的概念驗證。安全性仍然是一個主要挑戰。Austin 的機器人在執行任務時試圖提取自己的私鑰。以太坊基金會 dAI 負責人 David Crapis 在對 OpenClaw 的安全邊界進行壓力測試時發現，即使是最強大的模型，在經濟場景中的提示注入攻擊也能輕易突破防禦。OpenClaw 團隊已經認識到這個問題——上週五，他們與 VirusTotal 合作，為他們的技能市場 ClawHub 引入安全掃描功能。雖然這是一項進展，但 AI 代理解析自然語言並相應行動的能力帶來了傳統安全模型從未解決的全新挑戰。雖然我分享這些是為了進行客觀評估，但我仍然對 OpenClaw 展現出的勢頭感到印象深刻，清楚地展示了其潛力。多個公鏈（Solana、Monad、Base）已經啓動了總獎金數十萬美元的黑客馬拉松，每個業餘開發者似乎都對將框架與加密技術結合的可能性感到着迷——在許多場景中，其應用遠遠超出了簡單發行代幣的範圍。我堅信 Chris Dixon 的觀點：每項重大創新最初看起來都像是玩具。OpenClaw 顯然證明了這一點。總之，讓我們退一步審視這一點：智能代理技術棧的各個層面在短時間內迅速融合。x402 協議為智能代理提供了支付 API 和軟件服務，而 ERC-8004 為它們建立了聲譽系統。這些都是建立在 Google 的 A2A 通信層和通用商業協議之上的（用於理解交易）。它們就像獨立發展的器官，等待被整合成一個完整的身體。智能代理框架已經存在——像 LangGraph 和 CrewAI 這樣的項目一直在朝這個方向發展。但 OpenClaw 是真正激發想象力的突破，就像弗蘭肯斯坦的瘋狂科學家：當合適的身體最終出現時，所有器官都有了歸屬。它更接近於普通人可以部署的形式（儘管我自己沒有成功），而圍繞它的炒作反映了市場對能夠實現自主、可組合智能代理願景的框架的強烈渴望。雖然 OpenClaw 並非起源於加密領域，但加密技術正成為賦予其運營經濟價值的催化劑。</strong></p>

CRCL

BTDR

MSTR

<p>OpenClaw 是一個開源智能代理框架，在人工智能行業中逐漸受到關注，特別是它與加密生態系統的契合。該框架由 Peter Steinberger 開發，能夠將各種聊天應用與能夠自主執行復雜任務的 AI 代理連接起來。最近部署的 ERC-8004 協議通過建立可移植的信譽系統增強了代理的能力。這種人工智能與加密的融合使得代理能夠自主運作、管理支付，並在沒有人工干預的情況下切換服務提供商，標誌着智能代理發展的一項重要進展</p>

<p>Author: David Christopher, author of Bankless; Translator: @Jinse Finance xz</p>
<div class="lb-trans"><p>作者：David Christopher，《Bankless》作者；翻譯：@Jinse Finance xz</p>
</div><p>The entire AI industry is converging around intelligent agents.</p>
<div class="lb-trans"><p>整個人工智能行業正在向智能代理集中。</p>
</div><p>Anthropic highlights Claude Opus 4.6's ability to autonomously build complex technical software; Moonshot's Kimi 2.5 uses its group collaboration capabilities as its core selling point; OpenAI's Codex terminal emphasizes its ability to run multiple background intelligent agents simultaneously. It's no coincidence that all mainstream model releases this year have highlighted intelligent agent capabilities as a key feature. **Intelligent agents are precisely where the value of AI infrastructure construction lies: a single chat query consumes hundreds of tokens, while the process of an intelligent agent calling tools and possessing multi-step inference capabilities can consume tens to hundreds of thousands of tokens.** This is precisely the demand multiplier the industry needs, and existing models have finally developed to the point where they can support this vision.</p>
<div class="lb-trans"><p>Anthropic 強調 Claude Opus 4.6 能夠自主構建複雜的技術軟件；Moonshot 的 Kimi 2.5 將其團隊協作能力作為核心賣點；OpenAI 的 Codex 終端強調其能夠同時運行多個後台智能代理。這一年所有主流模型發佈都強調智能代理能力作為關鍵特徵並非偶然。** 智能代理正是人工智能基礎設施建設價值所在：一次聊天查詢消耗數百個令牌，而智能代理調用工具並具備多步推理能力的過程可以消耗數萬到數十萬個令牌。** 這正是行業所需的需求倍增器，現有模型終於發展到能夠支持這一願景的程度。</p>
</div><p>As the capabilities of intelligent agents continue to gain traction, the open-source intelligent agent framework OpenClaw has rapidly gained popularity since the end of January. Over the past few weeks, numerous demonstrations have showcased how its agents can &#34;reliably&#34; act as personal assistants, software developers—and even occasionally, entrepreneurs. This breakthrough coincides with the deployment of the ERC-8004 protocol on the mainnet, which enables agents to establish portable reputation systems and shape their identities. This timing is crucial. As the entire AI industry flourishes around agent activities, the crypto space has just launched the identity, reputation, and payment standards needed for autonomous agent operation—a convergence worth close attention. Below, we will analyze the technical core of OpenClaw, why its design naturally aligns with the crypto ecosystem, what representative projects have been built in this crossover field, and what limitations still exist.</p>
<div class="lb-trans"><p>隨着智能代理能力的持續獲得關注，開源智能代理框架 OpenClaw 自一月底以來迅速流行。過去幾周，許多演示展示了其代理如何 “可靠” 地充當個人助理、軟件開發者，甚至偶爾成為企業家。這一突破與 ERC-8004 協議在主網上的部署相吻合，使代理能夠建立可移植的信譽系統並塑造其身份。這一時機至關重要。隨着整個人工智能行業圍繞代理活動蓬勃發展，加密領域剛剛推出了自主代理操作所需的身份、信譽和支付標準——這一融合值得密切關注。接下來，我們將分析 OpenClaw 的技術核心，為什麼其設計自然與加密生態系統對接，哪些代表性項目在這一交叉領域中建立，以及仍然存在什麼限制。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433498_watermarknone.png" alt="" original-src="https://img.jinse.com.cn/7433498_watermarknone.png"/></p>
<h2><strong>1. What is OpenClaw?</strong></h2>
<div class="lb-trans"><h2><strong>1. 什麼是 OpenClaw？</strong></h2>
</div><p>OpenClaw was developed by software engineer Peter Steinberger. It connects various mainstream chat applications (such as WhatsApp, Telegram, Discord, iMessage, etc.) with AI programmable agents with access to computer operating systems.—Through a skill extension system, the agent can call more than 50 integrated functions such as browsers, terminals, file systems, and shell commands. This framework supports access to arbitrarily large language models, and users typically run these agents on a dedicated Mac mini or, more commonly, sandboxed virtual private servers (for security reasons). Its key architectural feature lies in the heartbeat mechanism: an active, cyclical mode where the agent wakes up at set intervals to scan the environment, check tasks, perform operations (such as summarizing emails or checking Bitcoin prices), and then enters dormancy again. This transforms the agent from a passive tool into a near-autonomous, proactive system. Even though this autonomy still has a simulated nature, the heartbeat mechanism is a crucial step towards the initiative required for truly autonomous systems. It is this initiative, combined with the framework's ability to deploy sub-agents and achieve coordinated scheduling, that unlocks unprecedented potential for inter-agent interaction. Frameworks such as Virtuals and ElizaOS have already moved in this direction, while OpenClaw seems to offer an early (though still somewhat rudimentary) implementation from outside the cryptographic realm. OpenClaw is essentially an AI framework designed around open-source scalability and user autonomy over agents. These principles naturally align with the spirit of cryptography, and when layered with cryptographic tools, the capabilities of these agents are substantially enhanced. 2. Synergistic Effects of Cryptographic Technology and OpenClaw Last year, I discussed &#34;vibe coding&#34;—the permissionless, composable, and open-source nature of the cryptographic domain makes it a natural canvas for AI-generated applications. This logic also applies to OpenClaw, and even more directly: because cryptographic technology not only provides agents with code access but also empowers them with capital acquisition capabilities. Most AI platforms place access permissions behind barriers such as authentication, platform-specific billing, and manual top-ups. If your agent runs out of OpenAI credits at 3 a.m., it will stop working until someone wakes up and renews its credits; switching service providers requires someone to re-register an account, configure API keys, and set up payment methods. Each step requires human intervention—this completely contradicts the fundamental principle of autonomous agents. As we know, through the x402 protocol, agents can pay on request with a single wallet and autonomously switch AI service providers based on cost and capability. Subsequently, with publicly callable smart contracts, agents gain access to a whole set of permissionless economic tools unavailable in other domains. The more autonomously agents utilize capital, the greater the influence of their actions, and the broader the scenarios for collaboration between agents: paying service fees, cross-hiring, establishing financial credit—all without waiting for human approval for the next step. Since OpenClaw's breakthrough last week, several such tools have emerged: ClawRouter (enabling autonomous model routing payments via x402), Clawpay (enabling privacy-preserving agent payments via Railgun), and ClawCredit (providing agent-native credit lines via the t54 protocol)—they are eliminating friction between different stages and continuously improving the operational level of these OpenClaw agents, known as &#34;lobsters.&#34;</p>
<div class="lb-trans"><p>OpenClaw 由軟件工程師 Peter Steinberger 開發。它將各種主流聊天應用（如 WhatsApp、Telegram、Discord、iMessage 等）與可編程的 AI 代理連接，代理可以訪問計算機操作系統。通過技能擴展系統，代理可以調用超過 50 種集成功能，如瀏覽器、終端、文件系統和 shell 命令。該框架支持訪問任意大型語言模型，用户通常在專用的 Mac mini 或更常見的沙盒虛擬私人服務器上運行這些代理（出於安全原因）。其關鍵架構特徵在於心跳機制：一種主動的循環模式，代理在設定的時間間隔內喚醒，掃描環境，檢查任務，執行操作（如總結電子郵件或檢查比特幣價格），然後再次進入休眠狀態。這將代理從被動工具轉變為近乎自主的主動系統。儘管這種自主性仍然具有模擬性質，但心跳機制是實現真正自主系統所需主動性的關鍵一步。正是這種主動性，加上框架部署子代理和實現協調調度的能力，解鎖了代理間互動的前所未有的潛力。Virtuals 和 ElizaOS 等框架已經朝這個方向發展，而 OpenClaw 似乎提供了一個早期（儘管仍然有些初步）的實現，來自加密領域之外。OpenClaw 本質上是一個圍繞開源可擴展性和用户對代理的自主權設計的 AI 框架。這些原則自然與加密的精神相契合，當與加密工具疊加時，這些代理的能力得到了顯著增強。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433500_watermarknone.png" alt="" original-src="https://img.jinse.com.cn/7433500_watermarknone.png"/></p>
<h2><strong>3. The Current Success Story</strong></h2>
<div class="lb-trans"><h2><strong>3. 當前的成功故事</strong></h2>
</div><p>In our recent podcast about ERC-8004, Austin Griffith, Ethereum Foundation's Head of Developer Growth, shared how to connect the OpenClaw bot to a wallet and give it access to email, Twitter, GitHub, and MetaMask. Within days, the bot was able to deploy production-grade smart contracts, manage an image trading market, and even build a FOMO 3D game based on a Telegram message—the bot was even running while Austin slept.</p>
<div class="lb-trans"><p>在我們最近關於 ERC-8004 的播客中，以太坊基金會開發者增長負責人 Austin Griffith 分享瞭如何將 OpenClaw 機器人連接到錢包，並授予其訪問電子郵件、Twitter、GitHub 和 MetaMask 的權限。在幾天內，該機器人能夠部署生產級智能合約，管理圖像交易市場，甚至基於 Telegram 消息構建 FOMO 3D 遊戲——在 Austin 睡覺時，機器人也在運行。</p>
</div><p>... Meanwhile, Langoustine69, the OpenClaw agent created by Daydreams founder Loaf, launched over 80 paid x402 endpoints in a single week—covering areas such as DeFi data analysis, earthquake monitoring, and news intelligence. Each endpoint cost approximately $0.50 to build and launch. While not as eye-catching as the Austin experience, this is more instructive: a miniature but truly functional agent service economy has taken shape. Crucially, these endpoints have opened up entirely new revenue streams for their creators, beyond token speculation.</p>
<div class="lb-trans"><p>與此同時，由 Daydreams 創始人 Loaf 創建的 OpenClaw 代理 Langoustine69 在一週內推出了超過 80 個付費 x402 端點，涵蓋了 DeFi 數據分析、地震監測和新聞情報等領域。每個端點的構建和啓動成本約為 0.50 美元。雖然沒有 Austin 的經歷那麼引人注目，但這更具指導意義：一個微型但真正功能性的代理服務經濟已經形成。至關重要的是，這些端點為其創造者開闢了全新的收入來源，超越了代幣投機。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://img.jinse.com.cn/7433501_watermarknone.png" alt="" original-src="https://img.jinse.com.cn/7433501_watermarknone.png"/></p>
<h2><strong>4. Objective Evaluation</strong></h2>
<div class="lb-trans"><h2><strong>4. 目標評估</strong></h2>
</div><p>Despite this, I personally attempted to deploy OpenClaw but was unsuccessful. Austin claims it's &#34;user-friendly,&#34; but he is, after all, a blockchain developer—just unfamiliar with the AI ​​field, which is fundamentally different from a beginner with almost no technical background.</p>
<div class="lb-trans"><p>儘管如此，我個人嘗試部署 OpenClaw 但未能成功。Austin 聲稱它是 “用户友好的”，但畢竟他是一名區塊鏈開發者——只是對 AI 領域不熟悉，這與幾乎沒有技術背景的初學者根本不同。</p>
</div><p><strong>Its explosive popularity also needs to be viewed with caution</strong>.</p>
<div class="lb-trans"><p><strong>其爆炸性的受歡迎程度也需要謹慎看待</strong>。</p>
</div><p><strong>Moltbook once garnered attention with sensational headlines like &#34;AI Agents Plot Rebellion&#34; and &#34;Founding a Religion,&#34; but in reality: humans can impersonate AI agents to post, someone registered 500,000 fake accounts to question the authenticity of the platform's user growth data, and even the database was leaked. The reality is far from what it appears to be. However, even if only a very small percentage of AI agents interact genuinely, it's still significant as a proof-of-concept. Security remains a major challenge. Austin's bot attempted to extract its own private key while performing a task. David Crapis, head of dAI at the Ethereum Foundation, found during stress tests on OpenClaw's security boundaries that even with the strongest model, cue injection attacks in economic scenarios could easily breach defenses. The OpenClaw team has recognized this issue—last Friday, they partnered with VirusTotal to introduce security scanning capabilities to their skills marketplace, ClawHub. While this is progress, the ability of AI agents to parse natural language and act accordingly presents entirely new challenges that traditional security models have never addressed. While I'm sharing this for an objective assessment, I'm still impressed by the momentum OpenClaw has shown, clearly demonstrating its potential. Multiple public chains (Solana, Monad, Base) have launched hackathons with prizes totaling hundreds of thousands of dollars, and every amateur developer seems fascinated by the possibilities of integrating the framework with cryptography—and in many scenarios, its applications extend far beyond simply issuing tokens. I firmly believe Chris Dixon's point: every major innovation initially seems like a toy. OpenClaw is clearly proving that right. In short, let's take a step back and examine this: The various layers of the intelligent agent technology stack have rapidly converged in a short period. The x402 protocol empowers intelligent agents with payment APIs and software services, while ERC-8004 establishes a reputation system for them. These are built upon Google's A2A communication layer and general business protocols (used to understand transactions). They are like independently developing organs, waiting to be integrated into a complete body. The intelligent agent framework already exists—projects like LangGraph and CrewAI have been building in this direction. But OpenClaw is the true breakthrough that sparks imagination, much like Frankenstein's mad scientist: when the right body finally appears, all organs have a place to belong. It's closer to a form that ordinary people can deploy (though I myself haven't succeeded), and the hype surrounding it reflects the market's strong desire for a framework that can realize the vision of autonomous, composable intelligent agents. While OpenClaw didn't originate in the field of encryption, encryption technology is becoming a catalyst for giving it operational economic value.</strong></p>
<div class="lb-trans"><p><strong>Moltbook 曾因 “AI 代理策劃叛亂” 和 “創立宗教” 等聳人聽聞的頭條而引起關注，但實際上：人類可以冒充 AI 代理進行發佈，有人註冊了 500,000 個假賬户以質疑平台用户增長數據的真實性，甚至數據庫也被泄露。現實遠非表面那麼美好。然而，即使只有極小比例的 AI 代理進行真實互動，這仍然是一個重要的概念驗證。安全性仍然是一個主要挑戰。Austin 的機器人在執行任務時試圖提取自己的私鑰。以太坊基金會 dAI 負責人 David Crapis 在對 OpenClaw 的安全邊界進行壓力測試時發現，即使是最強大的模型，在經濟場景中的提示注入攻擊也能輕易突破防禦。OpenClaw 團隊已經認識到這個問題——上週五，他們與 VirusTotal 合作，為他們的技能市場 ClawHub 引入安全掃描功能。雖然這是一項進展，但 AI 代理解析自然語言並相應行動的能力帶來了傳統安全模型從未解決的全新挑戰。雖然我分享這些是為了進行客觀評估，但我仍然對 OpenClaw 展現出的勢頭感到印象深刻，清楚地展示了其潛力。多個公鏈（Solana、Monad、Base）已經啓動了總獎金數十萬美元的黑客馬拉松，每個業餘開發者似乎都對將框架與加密技術結合的可能性感到着迷——在許多場景中，其應用遠遠超出了簡單發行代幣的範圍。我堅信 Chris Dixon 的觀點：每項重大創新最初看起來都像是玩具。OpenClaw 顯然證明了這一點。總之，讓我們退一步審視這一點：智能代理技術棧的各個層面在短時間內迅速融合。x402 協議為智能代理提供了支付 API 和軟件服務，而 ERC-8004 為它們建立了聲譽系統。這些都是建立在 Google 的 A2A 通信層和通用商業協議之上的（用於理解交易）。它們就像獨立發展的器官，等待被整合成一個完整的身體。智能代理框架已經存在——像 LangGraph 和 CrewAI 這樣的項目一直在朝這個方向發展。但 OpenClaw 是真正激發想象力的突破，就像弗蘭肯斯坦的瘋狂科學家：當合適的身體最終出現時，所有器官都有了歸屬。它更接近於普通人可以部署的形式（儘管我自己沒有成功），而圍繞它的炒作反映了市場對能夠實現自主、可組合智能代理願景的框架的強烈渴望。雖然 OpenClaw 並非起源於加密領域，但加密技術正成為賦予其運營經濟價值的催化劑。</strong></p>
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OpenClaw and the Smart Agent Economy: When Open Source Frameworks Meet Enabling Cryptography

- 整個 AI 行業正愈加集中於智能代理技術。  
- OpenClaw 框架連接主流聊天應用，支持 AI 代理的功能擴展。  
- 近期出現的工具提升了 OpenClaw 代理的自主性與效率。

OpenClaw 與智能代理經濟：當開源框架遇到賦能的加密技術