Ox – A local agent that uses the internet for you
Show HN: Ox – A local agent that uses the internet for you
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Most service integrations today are still built ahead of time: someone writes an API integration, connector, MCP server, or browser automation and then maintains it as the service changes. T
- 来源:Hacker News(发现于 2026-09-24)
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- 主题:AI Agent
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中文辅助译文(全文)
我一直在构建 Ox,一个本地、开源的智能体(agent),可以替你使用互联网。Ox 充当你与互联网之间的智能代理。它代表你使用网站和应用,让你摆脱那些吞噬注意力的界面和缓慢的遗留服务。在工作过程中,它可以将学到的东西转化为可复用的操作(基本上就是函数调用),使未来的交互变得确定且更快。当今大多数服务集成仍然是预先构建的:有人写一个 API 集成、连接器、MCP 服务器,或浏览器自动化,然后在服务变化时对其进行维护。但互联网正变得更加动态,我们的智能体也应如此。使用 Ox,你不必再等待连接器,只需说:“像连接我这里的服务”。Ox 可以通过已有的能力研究一个网站或工作流,将其学到的内容转化为类型化的操作和可复用的技能,验证它们,并立即使其可用。这促使我转向本地智能体。本地智能体运行在你自己的设备、网络和现有已认证的浏览器会话中,而不是依赖共享的数据中心基础设施。这也使得它更不容易遇到针对数据中心 IP 或集中式浏览器自动化的拦截。模型不需要你的密码、cookie 或会话令牌。身份验证和浏览器状态由 Host 拥有,而智能体通过可以被授权的显式操作进行交互。Ox 完全免费且开源。你可以使用任何模型提供商,包括本地或自托管模型,同时让你的智能体数据保留在设备上。随着本地模型的改进,我认为这种架构会变得越来越有用,因为智能体可以变得更强,而不需要让更多数据离开你的设备。安全模型也是设计的重要组成部分。Ox 在执行敏感操作前会询问,将凭据与模型隔离,限制智能体代码可以访问的内容,并允许你随时停止执行。应用底层是 OpenOx,一个面向自演化智能体的开放协议。
它将接口、智能体、模型提供商、持久状态、执行环境和外部能力分离开来。智能体可以在一个能力受限的 VM 中运行 JavaScript。该 VM 没有直接的网络访问、Host 文件系统访问、shell、Node.js 或 DOM。VM 之外的任何东西都必须通过 Host 暴露的显式 ox.* 能力来访问。服务为网站、设备能力或 MCP 服务器提供类型化的操作。技能提供组合这些操作的可复用指令。新的服务和技能可以在运行时附加,无需等待新版本的应用。它们可以保持本地,也可以记录在 Git 中并通过仓库共享,因此每个 Ox 可以独立演化,同时受益于其他人学到的能力。智能体的持久状态保存在一个可移植的 Ox Profile 中,其中包含它的身份、记忆、技能、工件和对话。目标是让该状态独立于任何 par…
译文由上游机器翻译生成,可能有误;判断请以英文原文为准。
英文原文(来源本站未改写)
I’ve been building Ox, a local, open-source agent that uses the internet for you.Ox acts as an intelligent proxy between you and the internet.It uses websites and apps on your behalf, freeing you from attention-hungry interfaces and slow legacy services.As it works, it can turn what it learns into reusable actions (basically function calls), making future interactions deterministic and way faster.Most service integrations today are still built ahead of time: someone writes an API integration, connector, MCP server, or browser automation and then maintains it as the service changes.But the internet is becoming more dynamic so have our agents.
With Ox, instead of waiting for a connector, you can say something like: “Connect to .” Ox can study a website or workflow through capabilities it already has, turn what it learns into typed actions and reusable skills, validate them, and make them available immediately.That pushed me toward local agents.A local agent operates from your own device, network, and existing authenticated browser sessions instead of relying on shared datacenter infrastructure.This also makes it less likely to hit blocks aimed at datacenter IPs or centralized browser automation.The model doesn’t need your passwords, cookies, or session tokens.
Authentication and browser state are owned by the Host, while the agent interacts through explicit actions that could be gated.Ox is completely free and open source.You can use any model provider, including local or self-hosted models, while keeping your agent’s data on device.As local models improve, I think this architecture becomes increasingly useful because the agent can become more capable without requiring more of your data to leave your device.The security model is also a big part of the design.Ox asks before taking sensitive actions, keeps credentials isolated from the model, limits what agent code can access, and lets you stop execution at any time.
Underneath the app is OpenOx, an open protocol for self-evolving agents.It separates the interface, agent, model provider, persistent state, execution environment, and external capabilities.The agent can run JavaScript inside a capability-limited VM.The VM has no direct network access, Host filesystem access, shell, Node.js, or DOM.Anything outside the VM has to go through an explicit ox.* capability exposed by the Host.Services provide typed actions for websites, device capabilities, or MCP servers.Skills provide reusable instructions for combining those actions.New services and skills can be attached at runtime without waiting for a new version of the app.
They can remain local or be recorded in Git and shared through repositories, so each Ox can evolve independently while benefiting from capabilities learned by others.The agent’s persistent state lives in a portable Ox Profile containing its identity, memory, skills, artifacts, and conversations.The goal is for that state to stay independent of any particular in
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