People running AI agents this year have gotten into a habit: leaving their laptop lid half-open so the agent can keep working. Close it, and the task dies.

That's the fate of local agents. Hosted solutions solved this problem long ago, and over the past year they've been steadily improving memory persistence. Devin restores machine snapshots per session, Manus hibernates sandboxes, and ChatGPT Work retains browser cookies. Each stores its own data, and manages its own state.

Grok Bot from SpaceXAI takes a different approach: instead of assigning one machine per task, it gives one machine per account. The machine stays running 24/7, bound to your account, and all bots under the account share it.

Avi Chawla created a comparison chart that clearly lays out the differences between OpenClaw, Hermes, and Grok Bot.

All three solutions let agents retain files and login sessions across conversations. The differences lie in who owns the infrastructure and where state is stored.

**OpenClaw and Hermes are self-hosted**. You can run them on your home laptop, a VPS, or an existing container—whatever you've already paid for. **Grok Bot runs on cloud machines provided by SpaceXAI**: one machine per account, not one per agent.

The direct outcome of this design: all bots under the same account share files and browser login sessions. A research bot saves a file, and a writing bot can access it immediately—no uploads, no re-logging in. Handover costs are zero.

The tradeoff is equally straightforward. Any website one bot logs into, all other bots can access. The documentation states this clearly: don't store credentials you don't want other bots to see here.

One netizen offered an analogy: It's like four roommates each buying their own fridge. Each agent stores its own login credentials, they can't access each other's data, it's wasteful and takes up extra space. Grok Bot flips this around: one kitchen, one fridge, anyone can open it. It's convenient, but your yogurt might get eaten by a roommate.

The flip side of sharing is the loss of isolation. As some users have pointed out, what self-hosted solutions really give you is a second machine: if two tasks absolutely cannot see each other, you run two separate hosts, and the boundary is physical. The one-machine-per-account model doesn't offer this option.

Hermes takes isolation further than any other option here. Agents write their own skills, and a background curator regularly deletes unused skills. Memory is stored as plaintext files that anyone can open and edit. SOUL.md stores identity, MEMORY.md stores facts, and skills are Markdown files with frontmatter.

This week, Nous Research released Hermes' Bot Mode: each bot has its own role, model, memory, skills, and avatar. Bots can communicate with each other, and support any model. Avi noted he hadn't seen the release before and is planning to test it out.

Grok Bot's memory mechanism is not public. The documentation only states it is maintained per bot, and does not specify whether the underlying implementation uses summary buffers, disk files, or retrieval indexes.

The most user-friendly feature of Grok Bot is skill recording. Record one full operation, which takes at most 10 minutes, and it converts the process into a reusable instruction set saved as a skill. For people who don't want to write process documentation, this drastically lowers the barrier to entry.

Avi reminds readers in his tutorial: recorded skills need to be retested. If a website changes its layout, the workflow will break. A workflow learned from a single demo doesn't hold up well to website changes.

For sensitive operations like passwords, verification codes, and payments, Grok Bot hands control back to you, and retakes over once you finish. Connected services use secure encrypted requests, so sensitive values never end up in conversation logs.

It also supports scheduled routines: cron jobs keep running normally even when you close your laptop. That's exactly the core advantage hosted solutions have over local agents.

One user inspected the Grok Bot cloud machine environment and reported it's roughly Debian, with 8 vCPUs, 16GB of RAM, hundreds of gigabytes of disk space, and no GPU. SpaceXAI has not published official specifications.

In community discussions, one user summed it up pretty accurately: OpenClaw excels at control, Hermes excels at polish, and Grok excels at speed. Avi responded that Grok's speed refers to setup speed; in actual testing, browser navigation and skill creation are actually a bit slow. He also added that Hermes also offers full control, and OpenClaw just adds support for a few extra messaging platforms.

Another user shared their real-world experience: the setup cost of OpenClaw never paid off for them, Hermes became their daily workhorse, and Grok Bot is interesting but not compelling enough to switch to.

In terms of model support: OpenClaw and Hermes run on any model provider, while Grok Bot only supports Grok. For costs: the two open-source solutions are free, but you still pay for inference; Grok Bot requires a premium subscription, and also carries a higher operational burden. Some users hope Grok Bot will add support for connecting to your own VM, which is not possible currently.

At its core, this is a question of choice: who absorbs the operational burden. Hermes gives you inspectable files and true isolation, but requires you to run and maintain the machines yourself. Grok Bot takes away the maintenance work, but it also takes away the isolation.

Avi lays out the choice very clearly in his tutorial: Are you willing to store your credentials on a machine you can't see?