Meta Muse: review and open-source alternative
A plain description of Meta's hosted, always-on AI agent, the facts worth knowing before you rely on it, an honest review, and a side-by-side comparison with ControlClaw.
Updated November 7, 2026. Meta Muse details come from their public pages. Spotted something out of date? Tell us.
What is Meta Muse?
Meta Muse is Meta's hosted, always-on AI agent. Unlike a chat assistant that answers and forgets, Muse keeps running on Meta's servers, remembers what you have told it, and can act on your behalf across connected accounts: reading and drafting email, managing a calendar, browsing, and messaging through Meta's own apps.
It is closed source and fully hosted. The agent, its memory and the models it uses all live inside Meta's infrastructure; you interact through Meta's apps and a web console. You do not pick a region, a model or a server, and there is no self-hosted edition.
Muse is the most visible example of a category that OpenClaw created in the open: the persistent personal agent. The comparison below is really a comparison of two ways to get that: a closed service, or open-source software run for you with guardrails.
Meta Muse at a glance.
What Meta has published, and what it has not.
Muse is sold as a monthly subscription per person, bundled with Meta's AI features. Each subscriber gets one agent. Memory is stored by Meta and can be viewed and deleted from the app, but there is no documented export format and no way to run the same agent elsewhere. Models are Meta's own; there is no option to plug in another provider or your own API key.
Safety is handled by Meta's platform filters, which block categories of content and ask for confirmation before some actions. Those settings are not configurable by the user or an administrator, and there is no published admin console for teams. Data residency and processing locations follow Meta's general terms rather than a per-customer choice.
- Type
- Hosted, closed-source always-on agent
- Agents per plan
- One per subscriber
- Where it runs
- Meta's cloud; region not selectable
- Models
- Meta's models only
- Memory
- Stored by Meta; viewable, deletable, no export format
- Setup
- Minutes inside Meta's apps
- Safety controls
- Platform filters and confirmations, not configurable
- Team admin
- Not published
- Pricing
- Monthly subscription per person
- Open source
- No
Meta Muse review: polished, and entirely on their terms
We run the competing product, so read this with that in mind. We have tried to be fair; where Muse is better, we say so.
Muse is the easiest always-on agent to start using. There is nothing to install, it lives where many people already message, and the integration with Meta's apps is smoother than anything a third party can build. For one person who wants reminders, drafts and summaries handled in the background, it works well and the price is reasonable.
The trade is control. You cannot see the code, choose the model, pick where your data sits or take the agent with you. Memory is held by Meta, and the safety rails are Meta's, applied uniformly. That is fine for low-stakes personal use. It is a harder sell for anything involving customer email, company credentials or compliance, because you cannot set your own allow-lists, require approval for specific actions, or produce an audit trail that satisfies anyone outside Meta.
There is also a longevity question that applies to every hosted agent: if the product changes direction or is retired, the agent and its memory go with it. An open-source agent on a server you can export from does not have that problem.
What Muse does well
- Zero setup; works inside apps people already use
- Reliable always-on behaviour with no server to think about
- Smooth integration with Meta's messaging and calendar
- Reasonable per-person price
- Vendor handles safety filtering and updates
Where it falls short
- Closed source; no audit or fork
- No choice of model, region or server
- Memory held by the vendor, no portable export
- Safety controls not configurable; no allow-lists or approval queue
- One agent per person; no team console
A good personal assistant if you are comfortable living inside Meta's ecosystem. Not a fit when you need to know where the agent runs, govern what it may do, or keep the option to leave with your agent intact.
Both are always on. Only one is yours.
A persistent agent that works while you sleep
Both keep running without a laptop open, remember context and act across your tools.
Open and portable versus closed and hosted
ControlClaw runs OpenClaw you can read, fork and move. Muse runs code you cannot see, on infrastructure you cannot pick.
Teams with rules versus individuals
Muse is one assistant per person. ControlClaw is a fleet with allow-lists, approvals and a shared console.
Feature comparison: ControlClaw vs Meta Muse
| Feature | ControlClaw | Meta Muse |
|---|---|---|
| Ownership | ||
| Agent code | YesOpen-source OpenClaw, on GitHub | NoClosed source |
| Where it runs | Hetzner or AWS in EU, US, UK, Singapore, or your own cloud | Meta's cloud |
| Models | Any provider, or your own LLM subscription | Meta's models |
| Memory and data | YesYours; export any time, dedicated server per agent | PartialHeld by the vendor |
| Leaving | YesExport the agent and run OpenClaw anywhere | NoNo portable agent |
| Safety | ||
| Secrets | YesHeld by the Firewall, never on the agent | PartialHeld by the vendor |
| Prompt-injection screening | YesInbound content inspected, rules you set | PartialVendor safety filters, not configurable |
| Approvals | YesOne queue, full context, audit trail | PartialPer-action confirmations in the app |
| Email and calendar allow-lists | YesBy domain, address or group | NoNot offered |
| Spend and tool limits | YesPer agent, enforced outside the agent | UnknownNot published |
| Capabilities | ||
| Always on | YesDedicated server per agent | YesHosted |
| Own mailbox with AgentMail or your Gmail | Connected personal accounts | |
| Meetings and calls | YesJoins Meet, Zoom, Teams and phone calls | NoNot offered |
| Multiple agents | YesFleet, templates, shared Brain | PartialOne assistant per person |
| Browser and passwords | YesVaulted; the agent never sees them | PartialVendor-managed logins |
| Commercial | ||
| Price | From $19/mo including a Small server | Subscription per person |
| Data location | EU, US, UK or Singapore, your pick | NoNot selectable |
| Trial | Fourteen days, no charge, card required | See their terms |
"Not published" means we could not find it documented. If Meta publishes it, we will update the row.
Meta Muse or ControlClaw: match the job.
Pick Meta Muse
You want an assistant, not infrastructure.
- You are one person and already live in Meta's apps
- You do not need to choose model or region
- Nothing it does needs a second pair of eyes
- You are fine with memory staying with the vendor
Pick ControlClaw
You need to know where it runs and what it may do.
- Open-source code you can audit and fork
- EU or other data location on request
- Allow-lists and approvals before it emails or pays
- A team console for more than one agent
- The option to leave with your agent intact
Meta Muse vs ControlClaw pricing.
No per-message pricing on ControlClaw. Agents, seats, the firewall and starter AI usage are in the plan; bring your own LLM subscription if you have one.
Meta Muse vs ControlClaw: common questions.
Is there an open-source alternative to Meta Muse?
Yes. OpenClaw is the open-source always-on agent, and ControlClaw runs it for you with an AI Firewall, approvals and a team console, on servers in the region you choose.
Is OpenClaw as capable as Meta Muse?
It uses the same class of frontier models from any provider and has a large skill ecosystem. The difference is you can see and change what it does.
Can I move my Meta Muse history to ControlClaw?
Export what Meta lets you export and paste it into the agent's memory. There is no automatic import because Muse has no open format.
Why does a firewall matter if the model is already safe?
Models follow instructions, including hidden ones in a web page or email. The Firewall screens that content before the agent sees it and holds the credentials the agent would need to do damage.
Does ControlClaw work with Meta's apps?
Agents connect to WhatsApp and Messenger through their business APIs, alongside Slack, Teams, email and phone.