OpenClaw 2.0 发布：引导式模型设置、控制界面启动提速至 575ms
OpenClaw Releases OpenClaw 2.0: Guided Model Setup, 575 ms Control UI Startup, and One Trust Boundary Per Gateway
The OpenClaw team has just released OpenClaw 2.0. The team shipped nothing for nearly seven weeks, after 106 releases in the previous 230 days. The update rewrites installation and rebuilds the browser Control UI. It also moves sessions and transcripts into SQLite and adds shared cloud sessions.
OpenClaw 团队刚刚发布了 OpenClaw 2.0。团队在之前230天内发布了106个版本后，近七周没有发布任何内容。此次更新重写了安装过程，并重建了浏览器控制界面。它还将会话和转录记录迁移到SQLite，并增加了共享云会话功能。
Is it deployable?
它可以部署吗？
Yes for single-operator and single-team deployments. No for multi-tenant products.
对于单操作员和单团队部署，答案是肯定的。对于多租户产品，答案是否定的。
Setup starts from credentials you already have
设置从您已有的凭据开始
Guided setup now looks for AI access already on the machine. It can reuse verified Codex, ChatGPT or Claude CLI sign-ins, accept an API key, run a provider sign-in, or find installed Ollama and LM Studio models. It then proves the exact choice can answer before saving that model and credential. Fresh OpenAI setups default to GPT-5.6. On the local side, node-llama-cpp was replaced with a managed llama-server, Gemma 4 became the RAM-gated llama.cpp default, and the llama.cpp default context was raised to 64K.
引导式设置现在会查找机器上已有的AI访问权限。它可以重用已验证的Codex、ChatGPT或Claude CLI登录，接受API密钥，运行提供商登录，或查找已安装的Ollama和LM Studio模型。然后，在保存该模型和凭据之前，它会验证确切的选择能够回答。新的OpenAI设置默认使用GPT-5.6。在本地方面，node-llama-cpp被替换为托管的llama-server，Gemma 4成为受RAM限制的llama.cpp默认模型，llama.cpp默认上下文长度提高到64K。
The browser app is now the primary surface
浏览器应用现在是主要界面
The rebuilt Control UI puts conversations at the center, with files, approvals and live work beside the chat. In a simulated default-chat test with a mocked Gateway and 50 ms HTTP/1.1 latency, JavaScript requests fell from 140 to 45 and startup fell from roughly 1.6 seconds to 575 ms.
重建的控制界面将对话置于中心位置，文件、审批和实时工作位于聊天旁边。在模拟的默认聊天测试中，使用模拟网关和50毫秒HTTP/1.1延迟，JavaScript请求从140次降至45次，启动时间从约1.6秒降至575毫秒。
Docked panels add a workspace file editor, a git-backed Changes panel with pull-request status and CI summaries, a browser panel with element inspection and screenshot annotation, and a full-screen web terminal. The limits are stated plainly: the file editor cannot create or delete files, Changes is read-only, and Create PR hands off to GitHub rather than submitting inside OpenClaw. Approval requests appear inside the conversation that triggered them, with a rolling 30-day history. A /btw command opens a side conversation so a quick question does not pollute the main transcript.
停靠面板增加了工作区文件编辑器、基于git的更改面板（包含拉取请求状态和CI摘要）、浏览器面板（包含元素检查和截图注释）以及全屏Web终端。限制明确说明：文件编辑器不能创建或删除文件，更改面板是只读的，创建拉取请求会跳转到GitHub而不是在OpenClaw内部提交。审批请求出现在触发它们的对话中，并带有滚动30天的历史记录。/btw命令打开一个侧边对话，这样快速问题不会污染主转录记录。
Storage moved to SQLite, and downgrades are not free
存储迁移到SQLite，降级并非免费
Sessions and transcripts now live in SQLite. Before rolling back to an older file-backed release, the current CLI must restore archived legacy transcript artifacts, and sessions created after the migration will not appear in older releases. Take a verified backup before upgrading.
会话和转录记录现在存储在SQLite中。在回滚到旧的文件支持的版本之前，当前CLI必须恢复归档的旧版转录工件，迁移后创建的会话将不会出现在旧版本中。升级前请进行已验证的备份。
Multiplayer, with an explicit ceiling
多人游戏，但有明确的上限
Shared cloud sessions let a second person join live work or take it over with context intact. Owners and administrators choose whether someone may read, suggest changes, work in a draft, or participate directly. The documentation is direct about the ceiling: these controls are not tenant isolation and not a security boundary. Incognito is off by default, keeps its conversation in process memory, and still sends messages to the model provider.
共享云会话允许第二个人实时加入工作或在上下文完整的情况下接管工作。所有者和管理员可以选择某人是否可以阅读、建议更改、在草稿中工作或直接参与。文档直接说明了上限：这些控制不是租户隔离，也不是安全边界。隐身模式默认关闭，其对话保留在进程内存中，但仍会将消息发送给模型提供商。
Security posture to review before rollout
发布前需审查的安全态势
The Gateway binds to loopback by default, and most chat channels answer an unknown DM sender with a pairing code. openclaw security audit checks inbound access, tool blast radius, network exposure, browser control exposure and plugin allowlists.
网关默认绑定到回环地址，大多数聊天频道会向未知的DM发送者回复配对码。openclaw security audit检查入站访问、工具爆炸半径、网络暴露、浏览器控制暴露和插件白名单。
Model choice is treated as the first mitigation for prompt injection. OpenClaw cites a 2026 crowdsourced arena of 272K attacks across 41 agent scenarios, scored only when the agent both executed the harmful action and hid it from the user: 0.5% success against Claude Opus 4.5, 1.0% against Sonnet 4.5, 1.3% against Haiku 4.5, and 8.5% against Gemini 2.5 Pro. The same page warns that adaptive human attackers still exceed 80% success against state-of-the-art defenses, so tool policy, exec approvals and sandboxing remain the hard enforcement layer.
模型选择被视为针对提示注入的第一道缓解措施。OpenClaw引用了2026年众包竞技场的数据，该竞技场在41个智能体场景中进行了272K次攻击，仅在智能体既执行了有害行为又对用户隐藏了该行为时才计分：对Claude Opus 4.5的成功率为0.5%，对Sonnet 4.5为1.0%，对Haiku 4.5为1.3%，对Gemini 2.5 Pro为8.5%。同一页面警告说，适应性强的人类攻击者针对最先进的防御措施成功率仍超过80%，因此工具策略、执行审批和沙箱仍然是硬性执行层。
Interactive explainer
交互式讲解
Key Takeaways
关键要点
- v2026.8.1 lands 16,000+ PRs from 933 contributors, about half of OpenClaw's total merge history.
- Guided setup reuses existing subscriptions, API keys and local models, and verifies the model before saving.
- Rebuilt Control UI cut test-harness startup from ~1.6 s to 575 ms and JS requests from 140 to 45.
- Shared cloud sessions add real multiplayer, but the docs say they are not a security boundary.
- v2026.8.1版本包含了来自933位贡献者的16,000多个PR，约占OpenClaw总合并历史的一半。
- 引导式设置重用现有订阅、API密钥和本地模型，并在保存前验证模型。
- 重建的控制UI将测试工具启动时间从约1.6秒缩短至575毫秒，JS请求从140个减少到45个。
- 共享云会话增加了真正的多人协作功能，但文档指出它们不是安全边界。
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查看发布说明和OpenClaw 2.0技术细节。另外，欢迎在Twitter上关注我们，别忘了加入我们的150k+ML SubReddit并订阅我们的新闻通讯。等等！你在Telegram上吗？现在你也可以在Telegram上加入我们。
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