Agent comparison · October 2026 · Facts verified 2026-10-15

Meta Muse vs OpenClaw: which personal agent should you use?

Pick Meta Muse if you want OpenClaw's idea with none of the setup: a personal agent on your phone and in WhatsApp, free for most use, on Meta's Muse Spark in a computer Meta manages, in the US only. Pick OpenClaw if you want to choose the model and keep your data on your own machine: it is free, MIT-licensed, works with any OpenAI- or Anthropic-compatible API and reaches you in 20+ chat apps. Meta's Nat Friedman has said Muse was "heavily inspired as a product by openclaw".

Meta Muse and OpenClaw side by side

	Meta Muse	OpenClaw
What it is	Meta's managed personal agent	The open-source personal agent Muse was inspired by
License	Proprietary	MIT, about 392,000 GitHub stars, run by the nonprofit OpenClaw Foundation
Where it runs	A Meta-managed virtual machine per person	Your own computer or server; a gateway that stays on
Reach it from	iOS, Android, Mac, iPad, muse.ai and WhatsApp	Apps for macOS, iOS, Android, Windows and Linux, and 20+ chat apps incl. WhatsApp, iMessage, Telegram, Slack and Discord
Model choice	Muse Spark only	Any: a custom provider takes an OpenAI- or Anthropic-compatible base URL
Extensions	Meta's connectors: Ticketmaster, OpenTable, Spotify, Google Workspace	Skills from the ClawHub registry: browser, email, files, shell, APIs
Price	Free for most use; Power $20 and Maximum $100 a month (reported)	Free. You pay for the models it calls
Availability	US only at launch	Anywhere you can run it
Training on your data	Used for training unless you opt out; not shared with Meta's ad systems	Local-first; your model provider's policy applies

Sources: Meta's Muse announcement, Muse's paid tiers as reported by TechCrunch, connectors and training opt-out per Engadget; OpenClaw's repo and custom providers docs; Friedman's remark via Forklog. Checked October 15, 2026.

What Meta Muse is

Meta launched Muse on September 8, 2026 as "a secure, private personal AI agent that proactively helps with people's goals and suggests ideas" (Meta). It sends emails, books travel, fills in forms and keeps working after you close the app, from a virtual machine Meta runs for each person, with a separate Sentinel agent approving what goes to the internet. It runs on Muse Spark only, with no model or API key setting, and started in the US on iOS, Android, muse.ai and WhatsApp.

It is free for most use; TechCrunch reports paid plans at $20 (Power) and $100 (Maximum) a month (TechCrunch). Interactions are used for training unless you opt out (Engadget).

What OpenClaw is

OpenClaw is the open-source agent that made "an AI that does things through your chat apps" popular. It runs a gateway on your own computer or server, answers in WhatsApp, iMessage, Telegram, Slack, Discord and 20+ more, and acts through skills from the ClawHub registry: browsing, email, files, shell commands and APIs (repo). Since July 2026 the MIT-licensed project has been run by the nonprofit OpenClaw Foundation.

Meta's Nat Friedman said Muse was built from scratch but "heavily inspired as a product by openclaw" (Forklog). The difference is who runs it and which model it uses: OpenClaw's custom provider takes any OpenAI- or Anthropic-compatible base URL (custom providers).

Best model for OpenClaw

Where Meta Muse is better

No setup. OpenClaw's gateway, channels and permissions take real configuration, and it needs a computer that stays on.
Free for most people, model included. With OpenClaw you pay for, or host, the model.
A managed, isolated computer per person with Sentinel reviewing what goes out. OpenClaw's broad access makes sandboxing and permissions your job, and community skills deserve review before you install them.
A phone-first app with Meta's consumer connectors built in.

Where OpenClaw is better

Model choice: any OpenAI- or Anthropic-compatible API, a local model, or a cheap model for routine steps and a frontier one for hard ones.
Availability: Muse launched in the US only. OpenClaw runs anywhere.
Privacy: Muse trains on interactions unless you opt out. OpenClaw is local-first and sends prompts only to the model API you configure.
Reach: iMessage, Telegram, Slack, Discord and 20+ more chat apps, not only WhatsApp, plus apps on every desktop and phone platform.
Breadth: the ClawHub skills registry and the largest open agent community, with about 392,000 GitHub stars.

Run OpenClaw on one API

A personal agent that reads your inbox, browses and runs routines makes many model calls a day. One OpenAI-compatible endpoint keeps it to one key and one bill.

Cost first: send the model standardcompute and the router sends each step to the cheapest model that can do it. Routine steps such as reading pages, filling forms, summarizing and scheduled check-ins can go to low-cost models, and Claude Fable 5.1 or GPT-6 Astra handle the steps that need them. An exact model ID, such as anthropic/claude-sonnet-5.5, always stays on that model.
For every model we vet providers for price, uptime and speed, with automatic fallback when one fails, so a bot that runs overnight does not stop because one host is down.
Opt-in Compliance rules restrict a key, team or company to provider endpoints in Europe or the US. They cover where the model runs. The bot's computer runs wherever you host the project.
We don't train on your prompts or store them.
Plans start at $19 a month for a fixed compute budget. At the end of the budget requests stop with HTTP 402 until renewal, so a looping bot cannot run up a bill.

Set up OpenClaw on Standard Compute

Install OpenClaw, then the Standard Compute launcher, and run standardcompute launch openclaw.
Without the launcher: in the onboarding wizard choose More… → Custom Provider, or add a provider under models.providers in ~/.openclaw/openclaw.json with baseUrl https://api.stdcmpt.com/v1, your key as apiKey and api: "openai-completions".
Use the model standardcompute, or an exact ID such as anthropic/claude-sonnet-5.5 when a task needs one model.

OpenClaw setup guide

The catch

OpenClaw is a project you run: you keep its gateway up, review the skills you install and decide what it may touch, and an agent with your email, browser and shell can do real damage if a prompt injection lands. If you are in the US and won't do that, Muse gives you most of the idea with Meta running the computer.

Where Standard Compute fits

One OpenAI- and Anthropic-compatible key for OpenClaw, with a router that sends each step to the cheapest model that can do it, providers vetted for price, uptime and speed, opt-in Europe or US rules and no training on prompts. Plans start at $19 a month.

Get an API key OpenClaw setup

FAQ

Is Meta Muse based on OpenClaw?

Not on its code. Meta's Nat Friedman said Muse was built from scratch but "heavily inspired as a product by openclaw": a personal agent that acts for you through the apps you already use.

Is OpenClaw better than Meta Muse?

For model choice, privacy and use outside the US, yes. For a personal agent with no setup, Muse is easier: it is free for most use, includes the model and runs in a computer Meta manages.

Can Meta Muse use another model or my own API key?

No. Muse runs on Muse Spark only, with no model picker, API key or base URL setting. OpenClaw takes any OpenAI- or Anthropic-compatible endpoint.

Is OpenClaw free?

Yes. OpenClaw is MIT-licensed and free; you pay for the models it calls, or nothing on a local model. A fixed-price API keeps an always-on agent's bill from growing with every loop.

Which is more private, Meta Muse or OpenClaw?

OpenClaw can be. Muse uses interactions for training unless you opt out, though Meta says they are not shared with its ad systems. OpenClaw runs on your machine and sends prompts to the model API you configure: Standard Compute doesn't train on them or store them, and an opt-in Europe or US Compliance rule limits which provider endpoints may serve the key.