HTX Research Latest Report Deciphers OpenClaw: The Battle for Execution Entry and Huobi HTX's AI Strategic Path

marsbit發佈於 2026-03-24更新於 2026-03-24

文章摘要

HTX Research, the analytical arm of Huobi HTX, has released a report titled "From the Rise of OpenClaw: How AI Begins to Compete for the True Work Interface." The report analyzes the emerging trend of AI evolving from a conversational tool into an execution layer, using the rapid growth of the open-source project OpenClaw as a key example. OpenClaw is a personal AI assistant that operates on a user's local device. It receives tasks through messaging platforms like WhatsApp, Telegram, Slack, and others, and can execute actions by integrating with files, browsers, calendars, email, and terminals. This signifies a major shift: AI is moving beyond answering questions to actively performing tasks, competing for the "execution interface" of the digital age. The report identifies five converging trends enabling this shift: sufficient model capability for multi-step tasks, the high frequency of messaging apps as a natural interface, open-source distribution, self-hosted models addressing data privacy, and a strong market need for small teams to achieve more with fewer resources. It highlights a particular fit in the Chinese market, where many small and medium teams operate on message-driven platforms like WeCom and Feishu. Some Chinese cities have already begun offering support policies to foster an OpenClaw ecosystem. However, the report also outlines three major hurdles for such tools to become reliable infrastructure: security risks (noting recent malware incidents), the need ...

Recently, HTX Research, the research department under Huobi HTX, released its latest report "From the OpenClaw Surge: How AI Begins to Compete for the True Work Entry Point". It systematically analyzes the industry trend of AI evolving from a Q&A tool to an executable hosting layer, centered around the rapidly rising open-source project OpenClaw, and provides an in-depth analysis of Huobi HTX's product layout and differentiated competitive strategy in the AI direction.

The core issue of the report is: when AI no longer just "answers questions" but starts "executing tasks," who will control the next phase's work entry point.围绕这个问题,研报从产品形态、市场驱动力、人机分工演变、中国市场机会与风险门槛五个维度展开分析。

The Emergence of the AI Execution Layer: From "Better at Chatting" to "Actually Doing Things"

The reason OpenClaw has attracted widespread market attention is that its focus is not on answer quality, but on execution capability. It is defined as a personal AI assistant running on users' own devices, capable of receiving tasks through messaging entries like WhatsApp, Telegram, Slack, Feishu, Teams, and more, and联动 files, browsers, calendars, email, and terminals to complete actions. The report points out that it is competing not for a new chat interface, but for the execution entry point of the AI era—humans gradually retreat to the positions of goal definition and key judgment, while部分 execution chains begin to be undertaken by digital agents.

Behind this transformation, five trends have matured simultaneously: model capabilities have entered a "good enough phase," sufficient to support moderately complex multi-step tasks; the high-frequency nature of messaging entries allows AI to be embedded into existing work interfaces without requiring user migration; open-source distribution mechanisms enable projects to quickly break through the developer circle; the self-hosted model addresses data sovereignty concerns; and the practical need for small teams to "do more with fewer people" provides the most direct driving force.

Special Adaptability in the Chinese Market

The report特别指出 that the传播势能 of OpenClaw in the Chinese market cannot be ignored. A significant amount of real work for many small and medium-sized teams in China occurs between message-driven interfaces like企业微信, Feishu, and customer service backends, which are naturally suitable for the penetration of such execution layer tools. Cities like Shenzhen and Wuxi have already introduced subsidies, office space, and entrepreneurial support policies around the OpenClaw ecosystem, linking it to the "one-person company" narrative. High message-density scenarios such as content teams, agency operations, investment research monitoring, and customer service分流 are considered the most likely directions to achieve initial落地 success.

Security and Governance: Three Thresholds from a Hot Project to Infrastructure

However, OpenClaw still needs to cross three thresholds to become infrastructure. First is the security threshold—recently, there have been cases of malicious installation packages being spread through伪造 GitHub repositories and search ads. Second is the governance threshold—enterprises need clear permission auditing, action replay, and manual approval mechanisms. Third is the template threshold—if a general platform lacks industry-level access templates, it will be difficult to cross the chasm from "trying it out" to "long-term use."

Huobi HTX's AI Path: From Model Aggregation to Platform-Level Service Entry

As a global crypto exchange deeply involved in the AI field, Huobi HTX's path in the AI direction complements the trend represented by OpenClaw. OpenClaw represents the direction of "AI as an execution layer," while Huobi HTX is advancing the practical落地 of "AI as a platform service entry and ecosystem connector."

The self-developed AINFT product launched within the Huobi HTX system aggregates the capabilities of mainstream large models including OpenAI, Anthropic, and Google. Users can call upon different models through a single entry point without switching between multiple platforms. At the login level, AINFT uses TronLink wallet signatures,无需绑定手机号或信用卡, aligning with crypto-native user habits. At the payment level, it adopts a "Pay-as-you-go" mechanism, breaking away from the traditional monthly subscription logic of AI products, which better suits the high-frequency, small-amount, elastic usage characteristics of on-chain users.

This product design demonstrates that Huobi HTX's understanding of AI has upgraded from an "efficiency tool" to a "platform capability extension"—in the future, users may enter the platform not necessarily just for trading, but also to use AI and intelligent services, which subsequently leads them back to trading and platform activities.

In terms of competitive strategy, against the backdrop of current trading platforms纷纷推出 AI Skills, Huobi HTX has adopted a more focused, differentiated approach: HTX AI Skills initially covered spot and contract trade execution upon launch, with subsequent plans to supplement market analysis, market intelligence, and a built-in AI assistant within the App, aiming to establish a closed loop around the four key layers of "trade execution, risk assessment, market intelligence, user entry." The report points out that the core of competitiveness lies not in the堆叠 of Skill quantity, but in who最先串联 execution, risk, intelligence, and entry into a complete user experience.

The Track is Still Early, But the Direction is Clear

The evolution of AI from a tool layer to an execution layer is still at a very early stage, with security, governance, and ecosystem maturity far from being in place. However, the surge of OpenClaw has already allowed the market to see relatively clearly that the next step of AI competition may no longer be just about parameter and answer quality comparisons, but will extend to comprehensive aspects of entry control, permission governance, skill ecology, and organizational trust. Huobi HTX's提前布局 in this direction provides a noteworthy industry sample for how crypto platforms can transform AI from an external capability into a long-term asset that is operable and capable of growth.

About HTX Research

HTX Research is the exclusive research department under Huobi HTX, responsible for conducting in-depth analysis on a wide range of areas including cryptocurrency, blockchain technology, and emerging market trends, writing comprehensive reports, and providing professional assessments. HTX Research is committed to providing data-based insights and strategic foresight, playing a key role in shaping industry perspectives and supporting informed decision-making in the digital asset field. With rigorous research methods and cutting-edge data analysis, HTX Research is always at the forefront of innovation, leading the development of industry thought, and promoting a deeper understanding of the constantly changing market dynamics.Visit Us.

If you wish to communicate, please contact [email protected]

相關問答

QWhat is the core issue discussed in HTX Research's latest report on OpenClaw?

AThe core issue is who will control the next stage of work entry points as AI transitions from merely 'answering questions' to actively 'executing tasks'.

QWhat are the five trends that have matured to enable AI's shift towards becoming an execution layer?

AThe five trends are: model capabilities reaching a 'usable stage' for moderately complex multi-step tasks; the high-frequency nature of messaging interfaces allowing AI integration; open-source distribution enabling rapid developer adoption; self-hosted models addressing data sovereignty concerns; and the practical need for small teams to 'do more with less' providing direct traction.

QWhy does the report highlight the special adaptability of OpenClaw in the Chinese market?

AIt highlights China's market because a significant amount of work for small and medium-sized teams occurs on message-driven interfaces like WeCom, Feishu, and customer service platforms, which are naturally suited for such execution-layer tools. Additionally, local governments have introduced supportive policies, linking it to the 'one-person company' narrative.

QWhat are the three major thresholds OpenClaw must overcome to evolve from a hot project to infrastructure?

AThe three thresholds are: security, due to cases of malicious installation packages; governance, requiring clear permission auditing, action replay, and manual approval mechanisms; and templates, as a lack of industry-specific integration templates hinders the transition from trial to long-term use.

QHow does HTX's AI strategy, particularly with its AINFT product, differentiate itself in the competitive landscape?

AHTX's strategy differentiates by aggregating major AI models into a single entry point, using TronLink wallet for login without needing phone or credit card details, and implementing a pay-as-you-go payment model. It focuses on creating a closed-loop user experience around trading execution, risk assessment, market intelligence, and user entry, rather than just stacking the number of AI Skills.

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什麼是 $S$

什麼是 AGENT S

Agent S:Web3中自主互動的未來 介紹 在不斷演變的Web3和加密貨幣領域,創新不斷重新定義個人如何與數字平台互動。Agent S是一個開創性的項目,承諾通過其開放的代理框架徹底改變人機互動。Agent S旨在簡化複雜任務,為人工智能(AI)提供變革性的應用,鋪平自主互動的道路。本詳細探索將深入研究該項目的複雜性、其獨特特徵以及對加密貨幣領域的影響。 什麼是Agent S? Agent S是一個突破性的開放代理框架,專門設計用來解決計算機任務自動化中的三個基本挑戰: 獲取特定領域知識:該框架智能地從各種外部知識來源和內部經驗中學習。這種雙重方法使其能夠建立豐富的特定領域知識庫,提升其在任務執行中的表現。 長期任務規劃:Agent S採用經驗增強的分層規劃,這是一種戰略方法,可以有效地分解和執行複雜任務。此特徵顯著提升了其高效和有效地管理多個子任務的能力。 處理動態、不均勻的界面:該項目引入了代理-計算機界面(ACI),這是一種創新的解決方案,增強了代理和用戶之間的互動。利用多模態大型語言模型(MLLMs),Agent S能夠無縫導航和操作各種圖形用戶界面。 通過這些開創性特徵,Agent S提供了一個強大的框架,解決了自動化人機互動中涉及的複雜性,為AI及其他領域的無數應用奠定了基礎。 誰是Agent S的創建者? 儘管Agent S的概念根本上是創新的,但有關其創建者的具體信息仍然難以捉摸。創建者目前尚不清楚,這突顯了該項目的初期階段或戰略選擇將創始成員保密。無論是否匿名,重點仍然在於框架的能力和潛力。 誰是Agent S的投資者? 由於Agent S在加密生態系統中相對較新,關於其投資者和財務支持者的詳細信息並未明確記錄。缺乏對支持該項目的投資基礎或組織的公開見解,引發了對其資金結構和發展路線圖的質疑。了解其支持背景對於評估該項目的可持續性和潛在市場影響至關重要。 Agent S如何運作? Agent S的核心是尖端技術,使其能夠在多種環境中有效運作。其運營模型圍繞幾個關鍵特徵構建: 類人計算機互動:該框架提供先進的AI規劃,力求使與計算機的互動更加直觀。通過模仿人類在任務執行中的行為,承諾提升用戶體驗。 敘事記憶:用於利用高級經驗,Agent S利用敘事記憶來跟蹤任務歷史,從而增強其決策過程。 情節記憶:此特徵為用戶提供逐步指導,使框架能夠在任務展開時提供上下文支持。 支持OpenACI:Agent S能夠在本地運行,使用戶能夠控制其互動和工作流程,與Web3的去中心化理念相一致。 與外部API的輕鬆集成:其多功能性和與各種AI平台的兼容性確保了Agent S能夠無縫融入現有技術生態系統,成為開發者和組織的理想選擇。 這些功能共同促成了Agent S在加密領域的獨特地位,因為它以最小的人類干預自動化複雜的多步任務。隨著項目的發展,其在Web3中的潛在應用可能重新定義數字互動的展開方式。 Agent S的時間線 Agent S的發展和里程碑可以用一個時間線來概括,突顯其重要事件: 2024年9月27日:Agent S的概念在一篇名為《一個像人類一樣使用計算機的開放代理框架》的綜合研究論文中推出,展示了該項目的基礎工作。 2024年10月10日:該研究論文在arXiv上公開,提供了對框架及其基於OSWorld基準的性能評估的深入探索。 2024年10月12日:發布了一個視頻演示,提供了對Agent S能力和特徵的視覺洞察,進一步吸引潛在用戶和投資者。 這些時間線上的標記不僅展示了Agent S的進展,還表明了其對透明度和社區參與的承諾。 有關Agent S的要點 隨著Agent S框架的持續演變,幾個關鍵特徵脫穎而出,強調其創新性和潛力: 創新框架:旨在提供類似人類互動的直觀計算機使用,Agent S為任務自動化帶來了新穎的方法。 自主互動:通過GUI自主與計算機互動的能力標誌著向更智能和高效的計算解決方案邁進了一步。 複雜任務自動化:憑藉其強大的方法論,能夠自動化複雜的多步任務,使過程更快且更少出錯。 持續改進:學習機制使Agent S能夠從過去的經驗中改進,不斷提升其性能和效率。 多功能性:其在OSWorld和WindowsAgentArena等不同操作環境中的適應性確保了它能夠服務於廣泛的應用。 隨著Agent S在Web3和加密領域中的定位,其增強互動能力和自動化過程的潛力標誌著AI技術的一次重大進步。通過其創新框架,Agent S展現了數字互動的未來,為各行各業的用戶承諾提供更無縫和高效的體驗。 結論 Agent S代表了AI與Web3結合的一次大膽飛躍,具有重新定義我們與技術互動方式的能力。儘管仍處於早期階段,但其應用的可能性廣泛且引人入勝。通過其全面的框架解決關鍵挑戰,Agent S旨在將自主互動帶到數字體驗的最前沿。隨著我們深入加密貨幣和去中心化的領域,像Agent S這樣的項目無疑將在塑造技術和人機協作的未來中發揮關鍵作用。

860 人學過發佈於 2025.01.14更新於 2025.01.14

什麼是 AGENT S

如何購買S

歡迎來到HTX.com!在這裡,購買Sonic (S)變得簡單而便捷。跟隨我們的逐步指南,放心開始您的加密貨幣之旅。第一步:創建您的HTX帳戶使用您的 Email、手機號碼在HTX註冊一個免費帳戶。體驗無憂的註冊過程並解鎖所有平台功能。立即註冊第二步:前往買幣頁面,選擇您的支付方式信用卡/金融卡購買:使用您的Visa或Mastercard即時購買Sonic (S)。餘額購買:使用您HTX帳戶餘額中的資金進行無縫交易。第三方購買:探索諸如Google Pay或Apple Pay等流行支付方式以增加便利性。C2C購買:在HTX平台上直接與其他用戶交易。HTX 場外交易 (OTC) 購買:為大量交易者提供個性化服務和競爭性匯率。第三步:存儲您的Sonic (S)購買Sonic (S)後,將其存儲在您的HTX帳戶中。您也可以透過區塊鏈轉帳將其發送到其他地址或者用於交易其他加密貨幣。第四步:交易Sonic (S)在HTX的現貨市場輕鬆交易Sonic (S)。前往您的帳戶,選擇交易對,執行交易,並即時監控。HTX為初學者和經驗豐富的交易者提供了友好的用戶體驗。

1.8k 人學過發佈於 2025.01.15更新於 2026.06.02

如何購買S

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