Last updated: 2026-10-22

🦀 OpenClaw vs 🎨 Meta Muse

OpenClaw (open-source, self-hosted, model-agnostic) versus Meta Muse (meta's personal agent that works on errands in its own cloud computer). Same task, different tradeoffs. Here's how to pick.

At a glance

🦀 OpenClaw 🎨 Meta Muse
PricingFree (you pay provider costs)Free with a weekly limit; Power $20/mo (500M tokens a week); Max $100/mo (3B a week)
LicenseMITProprietary (hosted service)
Hostingself-hostedcloud-managed
Requires GPUNoNo
Open sourceYesNo
ProvidersAnthropic, OpenAI, Ollama, Ollama Cloud, OpenRouterMeta Muse Spark (no model choice)
Skill countClawHub public registry (community-published; vet before installing)Connectors including Gmail, Google Calendar, Outlook, Notion and GitHub
Primary languageTypeScriptN/A (hosted)
Time to first agent15 min5 min
Ease of setup●●○○○●●●●●
Power / flexibility●●●●●●●●○○
Stability●●●●○●●●○○
Privacy●●●●●●●○○○
Cost control●●●●●●●●●○

Pick OpenClaw if…

  • Largest skill ecosystem of any agent platform
  • Runs fully local with Ollama — no API bills
  • Full source access — audit or fork anything
  • You care about scheduled-automation, privacy, power-users, self-hosting, telegram-bots (OpenClaw covers these; Meta Muse does not).

Wins on: privacy, power, cost, stability

Pick Meta Muse if…

  • Free tier, and a Mac app that can drive your Mac when you give permission
  • Per Meta, each Muse runs in its own isolated VM and a separate Sentinel process approves connector actions and network access
  • Asks before sending email or spending money
  • You care about casual-use, email-triage, scheduled-tasks, beginners, zero-setup (Meta Muse covers these; OpenClaw does not).

Wins on: ease

Where each stumbles

OpenClaw weakness: Setup assumes comfort with a terminal

Meta Muse weakness: No model choice and no self-hosting

Which should you pick?

Short answer: if you're still deciding, run both for a week on a single real workflow you care about. The one you reach for on Friday is the right one. Switching costs depend on how much you have built inside each one: instruction files, skills and connectors do not move between products automatically.

Need harder numbers? See the benchmarks hub for side-by-side scores on SWE-bench, GAIA, and community tests.

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