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OpenClaw穿上西装以规避广泛的商业禁令OpenClaw slips on a suit to evade widespread business bans

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OpenClaw项目已启动企业版研发工作,旨在消除企业对该智能体AI项目的顾虑。OpenClaw是首批“AI辅助工具”之一,这类工具利用大语言模型创建数字助理以实现任务自动化。如果用户授权OpenClaw访问其电子邮件账户,它便能分析邮件并自动发送AI生成的回复,甚至可以处理会议邀请并在日历应用中预留时间。该工具由开发者彼得·斯坦伯格(Peter Steinberger)创建,发布之初曾广受好评,但随后因安全分析师发现其存在严重漏洞而引发担忧。

The OpenClaw project has started work on an enterprise edition in the hope that businesses lose their fear of the agentic AI project. OpenClaw was one of the first “AI harnesses” – tools that use a large language model to create a digital assistant that automates tasks. If users allow OpenClaw to access their email account, it can analyze messages and fire off AI-generated replies, even responding to meeting invitations and reserving time in a calendar app. The tool is the creation of developer Peter Steinberger, who released it to initial acclaim – and then consternation as security analysts found OpenClaw was a mess.

研究机构高德纳(Gartner)将该项目标记为企业用户“不可接受的网络安全风险”,中国国家计算机网络应急技术处理协调中心(CNCERT)也警告称其“默认安全配置极其薄弱”。尽管如此,OpenAI仍聘请了斯坦伯格,并将OpenClaw作为其构建个人AI智能体计划的核心。谈及OpenAI,有关OpenClaw企业版(OCE)的消息来自其员工凯文·林(Kevin Lin)的一篇帖子,他承认“持久性智能体的实际部署仍然有限”。

Analyst firm Gartner labelled the project a source of “unacceptable cybersecurity risk” for business users, and China’s Computer Emergency Response Team warned of “extremely weak default security configurations.”That didn’t stop OpenAI hiring Steinberger and making OpenClaw the center of its plans to build personal AI agents. Speaking of OpenAI, news of work on OpenClaw Enterprise (OCE) came from a post by one of its staffers, Kevin Lin, who admitted “actual deployment of persistent agents remains limited.”

“我们从各机构收到的主要反馈是,在全面采用智能体之前,需要建立更强大的通用安全、保障和治理标准。”

“The main feedback we hear from organizations is that a stronger common security, safety, and governance standard is needed before agents can be fully adopted. As a consequence, the default stance of IT in most organizations is to ban agentic platforms like OpenClaw altogether.”

因此,大多数组织中IT部门的默认立场是全面禁止使用OpenClaw等智能体平台。林表示:“这正是我们试图通过OCE解决的问题:如何在企业环境中安全地部署强大的智能体,同时不削弱其能力?”林称,OCE 1.0版本的开发工作正在进行中,该版本“为智能体引入了企业级控制平面,并在OpenClaw奠定的基础上,支持多租户、硬性安全边界以及标准化的智能体原语”。

“This is the problem we are trying to solve with OCE: how do we safely deploy powerful agents without nerfing their capabilities in enterprise environments?”Lin said work on version 1.0 of OCE is under way and that it “introduces an enterprise-grade control plane for agents and builds upon the foundation set by OpenClaw with support for multi-tenancy, hard security boundaries, and standardized agentic primitives.”

“OCE在智能体全生命周期中增加了治理和可审计性,同时确保harness、模型和沙箱等核心原语可以替换为第三方解决方案或内部实现。”林表示,该项目“最初在OpenAI启动,随后捐赠给了OpenClaw基金会”。红帽AI业务部门副总裁兼总经理乔·费尔南德斯(Joe Fernandes)将OCE比作RHEL和OpenShift,指出红帽旨在将一个开源项目打造为适合严肃生产环境使用的产品。

“OCE adds governance and auditability across the agent lifecycle while making sure that core primitives like the harness, model, and sandbox can be swapped out with third party solutions as well as internal implementations.”Lin said work on the project “originally started at OpenAI and then was donated to the OpenClaw Foundation.”Joe Fernandes, veep and general manager of Red Hat’s AI Business Unit, likened OCE to RHEL and OpenShift, in that Red Hat intends to make an open source project suitable for serious use.

他在周二的一篇帖子中写道:“Linux帮助企业将应用程序从专有Unix系统和专用硬件迁移到运行在行业标准基础设施上的开放操作系统上。后来,容器和Kubernetes推动了向由分布式微服务组成的云原生应用的又一次转型。”提及Kubernetes可能并非偶然,因为OCE的GitHub仓库鼓励开发者将该项目视为“智能体的Kubernetes”。

“Linux helped enterprises move applications from proprietary Unix systems and specialized hardware onto an open operating system running on industry-standard infrastructure,” he wrote in a Tuesday post. “Later, containers and Kubernetes helped drive another transformation toward cloud-native applications composed of distributed microservices.”That mention of Kubernetes is likely no accident, as the OCE GitHub repo urges coders to think of the project as “Kubernetes for agents.”

如果OCE能接近Kubernetes那样的行业接受度,那将是非常出色的成就。OCE发布的同一天,OpenAI推出了其自有的“dots”个人智能体;而在同一个月内,Meta也推出了一款名为“Muse”的产品,为个人和小型企业提供类似OpenClaw的自动化服务。®

If OCE can achieve anywhere near the industry acceptance of Kubernetes, it will have done very well indeed. OCE emerged on the same day that OpenAI debuted its own “dots” personal agents, and in the same month that Meta delivered a product called “Muse” that offers OpenClaw-like automation for individuals and small businesses. ®