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亿邦智库发布“龙虾”产业生态图谱

亿邦智库黄斌 2026-03-19 13:39
亿邦智库黄斌 2026/03/19 13:39

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亿邦智库发布的“龙虾”产业生态图谱系统梳理了AI助理智能体产业,分为三层七板块,提供实操干货。

1.图谱结构清晰:顶层包括大模型域(如MiniMax)、协同应用域(如社交助理)和连接通讯域(如飞书),直接面向用户。中间层涵盖数据服务域(如北京数交所)、ClawHub(分四类虾)和协同AI Agent域,负责技术整合。底层是硬件与安全支撑域(如腾讯云、家庭服务器),提供物理保障。

2.关键组成部分实用:ClawHub细分为通用标准虾(OpenClaw)、专业虾(如Kimi Claw)、企业虾(如Zeelin-Claw)和嵌入式虾(zClaw),代表不同AI应用形态。外围包括政府、园区等支撑机构。

3.共建机会实操:企业可联系亿邦智库加入图谱,联系电话1860153158,微信参与共建,成为生态一员,推动产业未来。

图谱揭示AI助理在品牌营销和产品研发中的机会,反映消费趋势和用户行为。

1.品牌营销渠道:协同应用域如内容制作和社交助理,可作为品牌内容创作工具,提升用户互动。连接通讯域如飞书平台,提供AI交互界面,帮助品牌嵌入日常场景。

2.产品研发启示:代表企业如MiniMax提供大模型基础,支持品牌开发智能产品。ClawHub中的专业虾(如Kimi Claw)专注于特定领域,启示品牌定制化研发。消费趋势显示AI助理普及,用户行为转向智能化服务。

3.代表企业案例:数据服务域如产业互联网平台,提供用户数据洞察;硬件设备如机器人,可结合品牌产品设计,满足新兴需求。

图谱解读增长市场和合作机会,提供事件应对和风险提示。

1.增长市场机会:协同AI Agent域代表新兴数字劳动力,是消费需求变化点,卖家可切入此增长市场。ClawHub的企业虾(如Zeelin-Claw)针对企业流程,提供商业模式学习点。

2.合作与扶持政策:共建图谱邀请企业参与,是直接合作方式,联系电话1860153158,微信支持,视为扶持政策。外围机构如孵化器,提供资源链接,降低风险。

3.机会与风险提示:正面影响是生态汇聚传播,促进信息互通;风险在于生态动态发展,卖家需关注迭代,避免滞后。可学习点包括图谱三层架构,帮助应对市场变化。

图谱突出硬件生产和设计需求,提供商业机会和数字化启示。

1.产品生产需求:底层硬件与安全支撑域包括个人设备(如孚润家庭服务器、机器人)和云服务(如腾讯云),工厂可瞄准这些硬件生产。嵌入式虾(zClaw)作为轻量化模块,启示设计需求。

2.商业机会挖掘:代表企业如硬件服务商,提供合作案例;数据服务域(如北京数交所)支持数据驱动生产,机会在供应链整合。

3.推进数字化启示:图谱整体生态展示电商化路径,工厂可借鉴ClawHub分类,推进智能硬件数字化,如结合AI模块优化生产流程。

图谱展示行业趋势和新技术,解决客户痛点。

1.行业发展趋势:AI智能体生态快速扩张,协同AI Agent域成为新劳动力趋势,服务商可跟踪。数据服务域汇集数据源,反映数据流通需求。

2.新技术应用:大模型域如MiniMax提供基础“思考”能力;ClawHub的四类虾(如通用标准虾)代表智能体技术,服务商可集成。

3.客户痛点解决方案:客户痛点在AI能力分发,图谱三层架构提供解决方案,如连接通讯域解决交互问题;安全支撑体系规避风险,确保可信运行。

图谱聚焦平台需求和做法,涉及招商和运营管理。

1.平台需求与做法:ClawHub作为核心平台,分四类虾(如企业虾),管理生态需求;最新做法是开放共建,邀请企业加入。连接通讯域如飞书,展示平台交互设计。

2.平台招商机会:共建图谱是直接招商方式,联系电话1860153158,微信链接,平台商可借此扩展合作。代表企业如云服务商(腾讯云),提供支撑案例。

3.运营管理与风向规避:硬件与安全支撑域确保平稳运行,运营需关注安全体系;风险规避在动态生态迭代,平台商应持续更新,避免滞后。

图谱揭示产业新动向和商业模式,提供政策启示。

1.产业新动向:AI助理生态快速发展,三层架构厘清新结构;协同AI Agent域代表新劳动力问题。动态迭代需求是新挑战。

2.商业模式分析:ClawHub分四类虾(如专业虾、企业虾),展示多样化模式;数据服务域整合数据源,反映商业模式创新点。

3.政策法规启示:图谱发布目的包括建立行业共识,启示政策制定;外围政府机构参与,提供管理框架,研究者可据此提出法规建议。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

The 'Lobster' Industrial Ecosystem Map, released by EBang Think Tank, systematically outlines the AI assistant/agent industry across three layers and seven domains, providing practical insights.

1. Clear Structure: The top layer includes the large model domain (e.g., MiniMax), collaborative application domain (e.g., social assistants), and connectivity/communication domain (e.g., Feishu), directly serving end-users. The middle layer encompasses the data services domain (e.g., Beijing Data Exchange), ClawHub (categorized into four types of 'claws'), and collaborative AI Agent domain, responsible for technology integration. The foundational layer consists of the hardware and security support domain (e.g., Tencent Cloud, home servers), providing physical infrastructure.

2. Practical Components: ClawHub is subdivided into General Standard Claws (OpenClaw), Professional Claws (e.g., Kimi Claw), Enterprise Claws (e.g., Zeelin-Claw), and Embedded Claws (zClaw), representing different forms of AI application. The ecosystem also includes supporting entities like government agencies and industrial parks.

3. Co-creation Opportunity: Companies can contact EBang Think Tank (Tel: 1860153158, WeChat) to join the map, participate in ecosystem co-construction, and help shape the industry's future.

The map reveals opportunities for AI assistants in brand marketing and product R&D, reflecting consumer trends and user behavior.

1. Marketing Channels: Collaborative application domains like content creation and social assistants can serve as tools for brand content generation, enhancing user engagement. Connectivity domains like Feishu offer AI interaction interfaces, enabling brands to integrate into daily scenarios.

2. R&D Insights: Leading companies like MiniMax provide foundational large models, supporting brands in developing intelligent products. Specialized claws within ClawHub (e.g., Kimi Claw) focus on specific fields, offering insights for customized R&D. Consumer trends indicate growing adoption of AI assistants, with user behavior shifting towards intelligent services.

3. Case Studies: The data services domain, including industrial internet platforms, offers user data insights; hardware like robots can be integrated into product design to meet emerging demands.

The map interprets growth markets and partnership opportunities, offering guidance on market response and risk awareness.

1. Growth Markets: The collaborative AI Agent domain represents emerging digital labor, a key shift in consumer demand that sellers can target. Enterprise claws in ClawHub (e.g., Zeelin-Claw) address business processes, providing learnable business models.

2. Partnerships & Support: Participating in the map's co-construction is a direct partnership avenue (Contact: 1860153158, WeChat), viewed as a support mechanism. Peripheral entities like incubators offer resource connections, mitigating risks.

3. Opportunities & Risks: The positive impact includes ecosystem aggregation and information exchange; the risk lies in the ecosystem's dynamic evolution, requiring sellers to monitor updates to avoid obsolescence. Learnable aspects include the three-layer framework for adapting to market changes.

The map highlights hardware production and design needs, revealing commercial opportunities and digitalization insights.

1. Production Demand: The foundational hardware and security support domain includes personal devices (e.g., home servers, robots) and cloud services (e.g., Tencent Cloud), representing production targets for factories. Embedded claws (zClaw) as lightweight modules inform design requirements.

2. Commercial Opportunities: Case studies from hardware service providers offer partnership models; the data services domain (e.g., Beijing Data Exchange) supports data-driven production, highlighting supply chain integration opportunities.

3. Digitalization Path: The ecosystem demonstrates an e-commerce-oriented digital transformation path. Factories can leverage ClawHub's categorization to advance smart hardware digitalization, such as integrating AI modules to optimize production processes.

The map illustrates industry trends and emerging technologies, addressing client pain points.

1. Industry Trends: The AI agent ecosystem is rapidly expanding, with the collaborative AI Agent domain representing a new digital labor trend for providers to track. The data services domain aggregates data sources, reflecting growing data circulation needs.

2. Technology Applications: The large model domain (e.g., MiniMax) provides foundational 'thinking' capabilities; ClawHub's four claw types (e.g., General Standard Claws) represent agent technologies for integration.

3. Client Solutions: Key client pain points involve AI capability distribution. The three-layer framework offers solutions—e.g., the connectivity domain addresses interaction challenges, while the security support system mitigates risks for reliable operation.

The map focuses on platform requirements and practices, covering merchant recruitment and operations management.

1. Platform Strategies: ClawHub serves as a core platform, managing ecosystem needs through its four claw categories (e.g., Enterprise Claws). A key practice is open co-construction, inviting enterprises to join. Connectivity domains like Feishu exemplify platform interaction design.

2. Recruitment Opportunities: Co-creating the map is a direct merchant recruitment channel (Contact: 1860153158, WeChat), enabling platform expansion. Case studies from cloud service providers (e.g., Tencent Cloud) offer support models.

3. Operations & Risk Management: The hardware and security domain ensures stable operations, requiring focus on safety systems. Risk mitigation involves adapting to the ecosystem's iterative nature to avoid lagging behind.

The map reveals industry dynamics and business models, offering policy implications.

1. Industry Trends: The AI assistant ecosystem is developing rapidly, with the three-layer framework clarifying its new structure. The collaborative AI Agent domain represents emerging labor dynamics, while iterative adaptation poses new challenges.

2. Business Model Analysis: ClawHub's four claw categories (e.g., Professional, Enterprise Claws) demonstrate diversified models; the data services domain integrates data sources, reflecting business model innovation.

3. Policy Implications: The map's release aims to build industry consensus, informing policy formulation. Government participation provides a regulatory framework, enabling researchers to propose tailored regulations.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】3月19日,亿邦智库正式对外发布《“龙虾”产业生态图谱》(网址:https://www.ebrun.com/tc/openclaw/,以下简称“图谱”)。该图谱旨在系统梳理以Openclaw为标志产品的AI助理智能体产业生态格局,立体呈现从基础技术支撑到上层应用协同、从体系内部分类到协同生态及至周边环境的完整产业生态,为行业管理、从业者、投资者及研究机构提供一份全景式的产业生态形象展示。

01“龙虾”产业生态

“龙虾”产业并非指传统的水产养殖,而是对当前蓬勃发展的以Openclaw为旗帜性产品的AI大模型智能体(Agent)应用生态的一个形象比喻。“养龙虾”即寓意培育和发展这一新兴技术产业。在这个生态中,大模型是“虾苗”,数据与服务是“养料”,各类硬件与应用则是“生长环境”,最终共同孕育出能够解决实际问题的、具备自主能力的AI“成虾”。

02 图谱的三层架构与七大板块

亿邦智库的《“龙虾”产业生态图谱》将整个生态划分为三个核心层次,涵盖七个关键组成部分,清晰地描绘了从技术底座到终端应用的完整路径。以下为架构图:

第一层(顶层):技术与应用入口层

这一层是生态的“大脑”和“五官”,直接面向用户与开发者。

1.大模型域(LLM域):位于顶层左侧,是整个生态的智力核心。图谱囊括了国内外主流的大模型服务商,如MiniMax等,它们为上层应用提供基础的“思考”能力。

2.协同应用域:位于顶层中间,是AI能力直接转化为生产力的场景。包括社交助理、邮件助理、内容制作等,它们通过“Skills”(技能)模块,将大模型的能力无缝嵌入到日常工作与生活中。

3.连接通讯域:位于顶层右侧,是AI与人类交互的桥梁。图谱收录了如飞书、IMAG等平台,它们作为AI助理的“栖息地”,让用户可以在熟悉的界面中完成交互。

第二层(中间层):核心生态与能力层

这一层是生态的“心脏”和“血脉”,负责技术整合、数据流通与能力分发。

4.数据服务域:位于中间层左侧。数据是AI的养料,此部分汇集了各类数据来源与服务机构,如北京数交所、产业互联网平台及专业数据服务商,为生态提供持续的动力。

5.ClawHub(龙虾内部生态域):位于图谱正中央,是整个图谱的焦点。它代表AI智能体的核心平台,并根据其形态和功能细分为四类“虾”:

通用标准虾(OpenClaw):以OpenClaw为代表,是开源、通用的AI助理内核,为生态奠定了技术基座。

专业虾(如Kimi Claw):专注于特定领域或功能的AI助理。

企业虾(如Zeelin-Claw):为企业级应用定制,满足特定业务流程需求的AI解决方案。

嵌入式虾(zClaw):可被嵌入到各类硬件或软件中的轻量化AI模块。

6.协同AI Agent域:位于中间层右侧,代表那些能够独立执行复杂任务、协同工作的AI智能体,它们正在成为数字世界的新“劳动力”。

第三层(底层):硬件与安全基座层

这一层是生态的“骨骼”和“血液”,为整个体系提供物理支撑和安全保障。

7.硬件与安全支撑域:包含四大板块。左侧为云服务平台(如腾讯云);中间部分包括个人与具身设备(如孚润家庭服务器、Mini Mac、PC/手机,以及机器人BOT、机器狗等);右侧则为安全支撑体系,确保整个生态的平稳、可信运行。

外围环绕:生态的土壤

图谱外围还囊括了支撑产业发展的各类外部机构,如政府、园区、OPC基地、孵化器、媒体、研究机构及培训机构等,它们共同构成了产业发展的良性土壤。

03 图谱发布:汇聚力量,共育未来


亿邦智库希望通过图谱的编制与发布,达成以下目的:

1.厘清脉络,建立共识:在当前AI技术飞速发展、概念层出不穷的背景下,以直观的方式厘清“龙虾”产业的生态结构,帮助行业建立共同的语言和理解框架。

2.汇聚传播,链接价值:系统性地汇聚并展示生态中的代表性企业、产品及服务平台,促进产业链上下游的信息互通与价值链接,推动优秀解决方案的广泛传播。

3.开放共建,持续迭代:产业生态是动态发展的,图谱也需要持续更新。亿邦智库诚邀人工智能、大数据、云计算、智能硬件、行业应用等各个领域的优秀企业和服务平台,积极参与图谱的共建。

04 共建图谱:欢迎推荐与自荐

若您的企业或您所了解的产品、服务平台符合“龙虾”产业生态的定位,欢迎随时与亿邦智库联系,提交相关信息。经亿邦智库团队确认后,您的信息将被正式纳入图谱,成为“龙虾”产业生态的一员。

让我们携手,共同描绘并推动这一充满活力的智能产业新未来。我们的联系微信:


文章来源:亿邦智库

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