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explainx.ai

On this page

  • TL;DR: the five agents side by side
  • Who owns the computer, and why does that decide everything?
  • How do the two open-source agents differ from each other?
  • What does each one cost in practice?
  • Where has each one already failed?
  • Which one should you pick?
  • Questions people are asking
  • Honest limitations of this comparison
  • What to do this week
  • Related reading
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Dots vs Grok Bot vs Muse vs OpenClaw vs Hermes: Which Agent to Run?

OpenAI, SpaceXAI, Meta AI, OpenClaw, Hermes Agent, Comparisons

Five always-on agents compared: OpenAI Dots, Grok Bot, Meta Muse, OpenClaw and Hermes Agent. Hosted vs self-hosted, cost, security, lock-in. Pick one.

Sep 30, 2026·9 min read·Yash Thakker
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Dots vs Grok Bot vs Muse vs OpenClaw vs Hermes: Which Agent to Run?

Five products now claim to be your always-on agent, and they split cleanly into two camps. Hosted: OpenAI's Dots (launched September 29, 2026), SpaceXAI's Grok Bot (August 11), and Meta's Muse (September 8-9). Self-hosted and open source: OpenClaw and Hermes Agent. This comparison of OpenAI Dots vs Grok Bot vs Meta Muse vs OpenClaw vs Hermes Agent is built on what explainx.ai has already verified, and it is meant to answer one question: which one should you actually run?

If you only want the three hosted products, read our three-way comparison. If you only want the two open-source ones, read Hermes Agent vs OpenClaw. This post is the bridge between them.

TL;DR: the five agents side by side

table · 6 cols
QuestionDotsGrok BotMuseOpenClawHermes Agent
TypeHosted (OpenAI)Hosted (SpaceXAI)Hosted (Meta)Open source, self-hostedOpen source, self-hosted
LicenseProprietaryProprietaryProprietaryMITMIT
Model choiceGPT-6 AstraSpaceXAI / Cursor modelsMuse Spark 1.3Any (Anthropic, OpenAI, Gemini, Ollama, more)Any (OpenRouter, Nous Portal, NIM, more)
Where it runsOpenAI cloud computerA Linux VM per memberMeta Secure VMYour machine or VPSYour machine or VPS
Cost to startFirst dot included with Pro / Business PremiumBundled in SuperGrok / Cursor plans, limited free trialFree to 100M tokens/week, then $20 / $100Software free; you pay tokens and hostingSoftware free; you pay tokens and hosting
Credential handlingPasswords hidden from the modelBots sign in as youSurrogate tokens, Sentinel brokerYou decide (config and env)You decide, tool approval on by default
Learns from useNotes to itselfRetains preferencesMemoryStatic skillsCurator writes new skills
ChannelsChatGPT, Slack, Teams, texting soonDesktop, iPhone, integrationsiOS, Android, web, WhatsApp24+ channelsTelegram, Discord, Slack, WhatsApp, Signal, CLI
AvailabilityEligible marketsWidely availableUS only at launchAnywhereAnywhere

Star counts and CVE figures for the two open-source projects come from our June 2026 comparison (Hermes about 188k stars, OpenClaw about 247k), so treat them as dated.

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Who owns the computer, and why does that decide everything?

The real split is not model quality. It is who runs the machine the agent lives on.

Hosted agents put the computer in the vendor's cloud. Dots gets its own cloud computer and browser, and you can inspect it. Grok Bot gives each member a Linux VM. Muse runs a per-user Secure VM. You get isolation you did not have to build, and you accept the vendor's data terms, plan gating, and roadmap.

Self-hosted agents run wherever you put them. OpenClaw is, in our earlier framing, a gateway architecture with an agent inside; Hermes is an agent with a learning loop wrapped around a gateway. Both run on a Mac mini or a cheap VPS, and neither needs a local GPU because inference goes to whatever provider you configure.

The consequence: with a hosted agent your threat model is mostly about the vendor and your own grants. With a self-hosted agent your threat model includes your firewall, your gateway exposure, and your patch cadence. Our MCP security guide applies to all five.

Two agent silhouettes divided by a line, used here to frame the open-source versus hosted split

How do the two open-source agents differ from each other?

Briefly, since the full comparison goes deeper.

OpenClaw is about breadth. It supports 24+ messaging channels, a large skill ecosystem (5,400+ claws at the time of our June comparison), and moved to a 501(c)(3) foundation. Its 2.0 release (v2026.8.1, August 31) added guided setup that detects existing AI subscriptions, a rebuilt Control UI, shared cloud sessions for teams, and SQLite-backed sessions, with breaking migrations you should read before upgrading.

Hermes Agent is about depth. Its Curator system reflects on finished tasks and writes Markdown skills it loads next time, so it improves on your recurring work. Newer releases added Bot Mode (named persistent bots that message each other) and manual subagent control. That makes it the closest open-source analogue to Grok Bot's multi-bot model. You can also run it on a remote VPS with Telegram.

What does each one cost in practice?

table · 3 cols
AgentWhat you payWhat you do not know yet
DotsFirst dot included on eligible Pro and Business Premium plansExtra dot prices are unpublished
Grok BotBundled; reported roughly $120 per seat per month on Cursor Premium Teams up to $300 on SuperGrok HeavyNo published standalone price
MuseFree to 100M tokens per week; $20 and $100 plansNon-US availability
OpenClawTokens plus hosting; can reuse a ChatGPT or Claude subscriptionYour own usage variance
Hermes AgentTokens plus hosting; Curator reflection uses extra tokensYour own usage variance

Open source is not automatically cheaper. A busy self-hosted agent on a frontier model can out-spend a flat hosted bundle, while a light personal agent on a $5 to $10 VPS is far cheaper. Budget by token volume, not by sticker price. Our OpenClaw subscription guide covers the reuse-your-plan route.

Where has each one already failed?

Track record matters more than a launch demo.

  • Muse: shared a YouTuber's address with a Marketplace buyer after Allow Always (incident record); tested human concierge calls and hot-fixed a Mac zero-day (trust week); blocked by Amazon (details).
  • Grok Bot: early-beta reliability complaints and a documented shared-VM caveat: "do not use separate Bots as a security boundary." See the credential risk discussion.
  • OpenClaw: nine CVEs disclosed in a four-day window in March 2026 (patched), plus an agent that used an unauthenticated booking API to cancel a stranger's reservation while doing an ordinary task (gym incident). Also see Is OpenClaw safe?.
  • Hermes Agent: no reported CVEs as of June 2026 and safer-by-default tool approval, but a shorter public incident history is not proof of safety.
  • Dots: nothing yet, because it is a day old.

The pattern repeats: failures are rarely the model being dumb. They are an agent doing something the user technically allowed. The open-source agents make that risk yours to manage; the hosted ones make it partly the vendor's, but with less visibility.

Muse's agentic image generation, from explainx.ai's earlier coverage of what Meta's agent stack can do.

Which one should you pick?

  1. You want the fastest start and already pay for ChatGPT Pro: Dots.
  2. You want a free trial and are in the US: Muse, with banking and DMs left disconnected.
  3. You live in Cursor and want several coordinated workers: Grok Bot.
  4. You want any model and 24+ channels: OpenClaw.
  5. You want an agent that gets better at recurring tasks, on your hardware: Hermes Agent.
  6. You need to pass a security review: Dots (read-only background research, hidden passwords) or Muse (Sentinel) on the hosted side; Hermes with tool approval on the self-hosted side.
  7. You want no lock-in: OpenClaw or Hermes, with instructions kept as portable agent skills.

For unattended coding specifically, none of the five replaces Codex persistent mode or a loop-engineering setup.

Questions people are asking

Is OpenClaw or Hermes a real alternative to Dots?

For personal automation, yes, and they add model choice and data location that Dots cannot. What you give up is the vendor-run cloud computer, the polished ChatGPT surface, and OpenAI's password vault. You build those guardrails yourself.

Which is best for a team?

OpenClaw 2.0's shared cloud sessions target team use, but its docs say they are collaboration controls, not a hostile-tenant security boundary. Dots offers an admin beta for Enterprise, Edu, and Healthcare. Grok Bot has had enterprise admin-panel activation since September 3.

Can I mix them?

Yes. A common setup is a hosted agent for personal errands and a self-hosted agent for recurring workflows you need to audit. Keep their accounts separate and revocable.

Here is the Grok Bot "teammate" thread again, since Hermes Bot Mode is the open-source answer to the same idea:

XSource postOpen on X ↗

Honest limitations of this comparison

  • Star counts and CVE numbers for OpenClaw and Hermes are from June 2026 and will have moved.
  • Dots is one day old, with no independent testing.
  • Grok Bot prices are reported bundle tiers, not a published rate.
  • Vendor architecture claims (Sentinel, the Dots vault) have no public independent audit we can cite.
  • We did not run all five head-to-head on one task. This is a synthesis of verified coverage, not a benchmark.

What to do this week

  1. Choose one hosted and, if you are technical, one self-hosted agent. Do not try all five.
  2. Start each on a research-only goal and read its activity log.
  3. Connect one low-stakes account per agent, never the same inbox everywhere.
  4. Write rules the way you write a CLAUDE.md: what it may read, what it must ask, what it must never send.
  5. Revisit in a week, then widen scope.

Follow @explainx_ai as each of these gets new releases and incident reports.

Related reading

  • OpenAI CFO called Dots “Muse” on CNBC
  • Dots vs Grok Bot vs Meta Muse: the hosted three-way comparison
  • Hermes Agent vs OpenClaw: which open-source agent to use
  • OpenAI Dots: always-on GPT-6 Astra agents
  • Meta Muse launch and Sentinel architecture
  • Grok Bot early beta
  • OpenClaw 2.0 release
  • Hermes Bot Mode
  • Top 10 things you can do with OpenClaw · with Hermes Agent

Official: Introducing Dots

Plans, prices, and incident details are accurate as of September 30, 2026. Open-source star counts and CVE figures date from June 2026 and should be re-checked on each project's repository.

Spotted something out of date? Let us know.
Yash Thakker

Written by

Yash Thakker

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