OpenClaw vs.

OpenClaw vs. Hermes vs. Grok @bot，讲清楚： 三者都能设一个有特定职务的 agent，而且会在工作阶段之间留下文件和登录，而不是每次重来。 OpenClaw 和 Hermes 是自架，机器可以是笔电、VPS，或某人已经在付、登得进去的容器。 Grok Bot 跑在 SpaceXAI 供应并操作的机器上。它是一个账号一台电脑，不是一个 agent 一台。 那个账号上的每个 Bot 读同一批文件、带同一组浏览器登录，所以两个 Bot 交接不必重新登录或传档。 Hermes 和 OpenClaw 则是把 agent 隔开，记忆放在谁都能打开编辑的纯文件里。 Hermes 走得最远，因为 agent 会自己写 skill，背景策展者会删掉没人用的。 我认为 Grok Bot 做出新 skill 的摩擦最低。 你可以录最多十分钟、把一段工作流程走一次，它再做成可重用的指示并存成 skill。 再说模型：OpenClaw 和 Hermes 可用任何模型供应商。Grok Bot 跑 Grok。 我做了下面这张图，从托管、记忆一路拆到各自跑起来要花多少。 若要再往下，我在一堂 masterclass 里把 Grok Bot 讲完了，含共用电脑、记忆、skills、routines，以及 macOS 设置。 下面可读。

原文：OpenClaw vs. Hermes vs. Grok @bot, clearly explained: All three let you set up an agent with a specific job, and it keeps its files and logins between sessions instead of starting fresh. OpenClaw and Hermes are self-hosted, so the machine can be a laptop, a VPS, or a container that someone already pays for and can log into. Grok Bot runs on a machine SpaceXAI provisions and operates. It gives one computer per account rather than one per agent. Every Bot on that account reads the same files and carries the same browser logins, so handing work between two Bots does not require a re-login or file transfer. Hermes and OpenClaw isolate agents instead, and their memory sits in plain files anyone can open and edit. Hermes goes furthest since the agent writes its own skills and a background curator deletes the ones nobody uses. Grok Bot has the lowest-friction path to a new skill in my opinion. You can record up to ten minutes of one pass through a workflow, and it can then turn that into a reusable set of instructions and store it as a skill. Moving on, OpenClaw and Hermes run on any model provider. Grok Bot runs on Grok. I prepared the graphic below that has the full breakdown, from hosting and memory through to what each of them costs to run. And if you want to dive deeper, I covered Grok Bot in full in a masterclass, including the shared computer, memory, skills, routines, and the macOS setup. Read it below.

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