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智能体 infoq.com · @Daniel Dominguez

OpenClaw 2.0发布:简化安装并支持协作Agent

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开源个人AI Agent OpenClaw发布2.0版本(2026.8.1),主要更新包括简化安装流程、重构浏览器界面、引入共享云会话以支持多人协作。该版本由933名开发者贡献,支持多种模型和通信渠道,保持模型无关和自托管架构。社区反应不一,部分用户升级顺利。

AI推荐理由 InfoQ报道了OpenClaw 2.0的发布,包含具体版本号、开发者贡献数等细节,信息密度较高,来源可信。但内容多为功能概述,缺乏实测数据,且社区反应未完整呈现。对关注开源AI Agent的开发者有参考价值。

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InfoQ主页 新闻 OpenClaw 2.0发布,简化设置并支持协作代理 人工智能、机器学习与数据工程 OpenClaw 2.0发布,简化设置并支持协作代理 2026年9月1日 2 分钟阅读 作者 Daniel Dominguez 关注我们 YouTube232K关注者 Linkedin26K关注者 Instagram新 RSS19K读者 X57.1万关注者 Facebook21K点赞 Bluesky新 OpenClaw已发布OpenClaw 2.0,这是对开源个人AI代理的重大更新,改变了其安装过程、浏览器界面、内存、技能、自动化、插件、安全和协作功能。该版本对应版本2026.8.1,包含来自933名开发者的贡献,涉及超过16,000个拉取请求。 主要变化之一是简化的设置过程。OpenClaw现在可以检测用户计算机上已有的资源,包括ChatGPT或Claude订阅、API密钥和本地安装的模型。该项目减少了安装期间所需的配置量,将额外设置转移到代理启动后的对话中。 浏览器应用程序也已重建为主要界面,而不是次要控制面。用户现在直接进入与代理的对话,并可以在同一界面中配置代理、监控正在进行的任务以及与工作流交互。这些更改旨在使浏览器成为操作OpenClaw的完整方式,而无需用户单独管理大多数配置。 OpenClaw 2.0还引入了用于协作代理工作流的共享云会话。多个用户可以参与现有的代理会话,同时保留其上下文,从而允许任务在人与人之间共享或移交。这将OpenClaw从主要面向个人自动化扩展到面向家庭和开发团队的共享工作流。 该版本保留了OpenClaw的模型无关架构。它可以与托管模型、现有AI订阅、基于API的提供商和本地模型一起工作,而状态可以保留在用户控制的基础设施上。OpenClaw还继续支持通过WhatsApp、Telegram、Discord、Slack、Signal和iMessage等渠道进行通信。 OpenClaw在日益增长的持久AI代理类别中运作。Hermes Agent提供了类似的开源方法,专注于持久内存和跨平台消息传递,而ChatGPT Agent和Grok Bot等托管系统通过供应商托管的基础设施提供基于计算机和浏览器的任务执行。n8n等工作流平台涵盖了一些相同的自动化用例,但更依赖于显式配置的触发器和流程。OpenClaw的主要架构区别仍然是其自托管、模型无关的方法,使用户负责更多的基础设施和安全配置。 最初的社区反应褒贬不一。一些用户报告升级顺利并欢迎新版本,而另一些用户在更新后遇到了迁移问题、网关损坏、自动化丢失或模型认证问题。与团队相关的意见将OpenClaw 2.0描述为长时间暂停后的里程碑式发布,以及比计划大得多的重写。 OpenClaw的首席架构师Vincent Koc发帖称: 我们发布了有史以来最大的龙虾。自项目启动以来,所有PR中有50%包含在此次发布中。我们一直等到体验达到超凡脱俗的水平。从UI/UX到本地模型推理,我们现在正在用OpenClaw构建OpenClaw。 与此同时,OpenClaw的创建者Peter Steinberger评论道: 两个月前,我们开始了“用OpenClaw构建OpenClaw”的使命,并一点一点地将每个人从使用本地编码工具转移到使用http://team.openclaw.ai——我们的共享代理,它知道每个人在做什么并协调一切。多人编码+无限计算与节点和云会话已经改变了我们的构建方式。本地工具现在感觉像是过去的遗物。 此次发布是在项目异常长的开发期之后进行的。OpenClaw表示,它此前在230天内发布了106个版本,但此更新的开发持续了近七周,因为最初专注于安装和浏览器界面的更改扩展为对项目的更广泛重组。 关于作者 Daniel Dominguez 显示更多显示更少 此内容属于AI、ML与数据工程主题 相关主题: AI、ML与数据工程 OpenAI Anthropic 人工智能 ChatGPT 大型语言模型 代理 Claude 相关编辑内容 相关赞助商 InfoQ热门内容 Kubernetes将KYAML提升为更安全、更一致的处理清单的方式 Airbnb通过服务器驱动架构将认证代码减少60% OpenClaw 2.0发布,简化设置并支持协作代理 Foundry模型路由器从两个区域扩展到28个,刷新其模型池 DoorDash的Flux通过基于云的代理运行130,000个工程任务 Scott Jenson谈桌面操作系统演进、本地优先和代理式用户体验 InfoQ通讯 每周二发送上周InfoQ内容的摘要。加入超过250,000名高级开发者的社区。 查看示例 我们保护您的隐私。
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InfoQ Homepage News OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents AI, ML & Data Engineering OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents Sep 01, 2026 2 min read by Daniel Dominguez Follow us on Youtube232K Followers Linkedin26K Followers InstagramNew RSS19K Readers X57.1k Followers Facebook21K Likes BlueskyNew OpenClaw has released OpenClaw 2.0, a major update to the open-source personal AI agent that changes its installation process, browser interface, memory, skills, automations, plugins, security, and collaboration features. The release corresponds to version 2026.8.1 and includes contributions from 933 developers across more than 16,000 pull requests. One of the main changes is a simplified setup process. OpenClaw can now detect resources already available on a user's computer, including ChatGPT or Claude subscriptions, API keys, and locally installed models. The project has reduced the amount of configuration required during installation, moving additional setup into conversations with the agent after it starts running. The browser application has also been rebuilt as a primary interface rather than a secondary control surface. Users now enter directly into a conversation with their agent and can configure it, monitor ongoing tasks, and interact with workflows from the same interface. The changes are intended to make the browser a complete way of operating OpenClaw without requiring users to manage most configurations separately. OpenClaw 2.0 also introduces shared cloud sessions for collaborative agent workflows. Multiple users can participate in an existing agent session while retaining its context, allowing a task to be shared or handed from one person to another. This extends OpenClaw from primarily personal automation toward shared workflows for families and development teams. The release retains OpenClaw's model-independent architecture. It can work with hosted models, existing AI subscriptions, API-based providers, and local models, while state can remain on infrastructure controlled by the user. OpenClaw also continues to support communication through channels including WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. OpenClaw operates in a growing category of persistent AI agents. Hermes Agent provides a similar open-source approach centered on persistent memory and cross-platform messaging, while managed systems such as ChatGPT Agent and Grok Bot provide computer and browser-based task execution through vendor-hosted infrastructure. Workflow platforms such as n8n cover some of the same automation use cases but rely more heavily on explicitly configured triggers and workflows. OpenClaw's main architectural distinction remains its self-hosted, model-agnostic approach, leaving users responsible for more of the infrastructure and security configuration. Initial community reaction has been mixed. Some users reported smooth upgrades and welcomed the new release, while others experienced migration problems, broken gateways, lost automations, or model authentication issues after updating. Team-adjacent voices framed OpenClaw 2.0 as a landmark release after a long pause and a much larger rewrite than planned. OpenClaw’s chief architect Vincent Koc posted: We shipped the biggest lobster ever. 50% of all PRs since project inception in this one release. We waited till the experience on this was out of this world. From UI/UX to local model inference we are now building openclaw with openclaw. Meanwhile OpenClaw’s creator Peter Steinberger commented: Two months ago, we started the mission to “build OpenClaw with OpenClaw,” and bit by bit, we moved everyone from using their local coding harness to using http://team.openclaw.ai - our shared agent that knows what everyone’s working on and orchestrates it all. Multiplayer coding + infinite compute with nodes and cloud sessions has been a game changer for how we build. Local harnesses feel like relics of the past now. The release follows an unusually long development period for the project. OpenClaw says it previously shipped 106 releases over 230 days, but development of this update lasted nearly seven weeks as changes originally focused on installation and the browser interface expanded into a broader restructuring of the project. About the Author Daniel Dominguez Show moreShow less This content is in the AI, ML & Data Engineering topic Related Topics: AI, ML & Data Engineering OpenAI Anthropic Artificial Intelligence ChatGPT Large language models Agents Claude Related Editorial Related Sponsors Popular across InfoQ Kubernetes Promotes KYAML as a Safer, More Consistent Way to Work with Manifests Airbnb Cuts Authentication Code by 60% with Server Driven Architecture OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents Scott Jenson on Evolving Desktop OS, Local-First, & Agentic UX The InfoQ Newsletter A round-up of last week’s content on InfoQ sent out every Tuesday. Join a community of over 250,000 senior developers. View an example We protect your privacy.

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