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THE WORKROOM / MAKING THE MOVE

Bring the work.
Make room for a team.

Switching to Muster starts with one familiar task. Bring your context, meet your teammates, and review the result together.

The short version

Your workspaceOther toolsMuster
Team modelVaries by productRooms of specialist bots
SourceVaries by productSource-available · BSL 1.1
BackupsVaries by productEncrypted desktop backup and restore; Drive setup is separate
Proof of workHistory and exports varyJob receipts per task
PricingCheck the current planFree app · bring your own AI key; provider usage costs apply

Coming from Skales

Bring your Agent Skills (SKILL.md) — Muster reads the same format. Set up scheduled work as routines and find your bots in the roster + Automations. Muster gives each bot its own identity, with a shared Brain and optional Vaultgram backups for the files you choose.

Coming from OpenClaw or Hermes

Your MEMORY.md files carry over directly — each Muster bot keeps its own memory in exactly that format. Point your old working folders at new bots during onboarding; Project Scout suggests a full team lineup from any codebase automatically.

Coming from Sintra

Start with one recurring job and create the specialist bots it needs. Add them to a shared room, supply your team context, and review their output and task receipts. Try the workflow in the workspace Muster hosts, using your own model provider.

Compare

Compare the documented features.

This table summarizes an August 2026 snapshot of public READMEs. A dash means the feature was not documented in that snapshot, not that the product lacks it.

Muster Osaurus Rakazo OpenBot
Platforms macOS · Windows · Ubuntu · hosted web macOS (Apple Silicon) Web · Desktop (Electron) · Mobile (Expo) Web, self-hosted (Docker)
License BSL 1.1 (source-available) MIT Apache-2.0 MIT
Hosted workspace Yes — Muster Cloud Model routing only (Router, pay-as-you-go) — —
Price Free Muster app; AI provider usage billed separately Free app; Router pay-as-you-go credits — —
Privacy tech Optional on-device Privacy Shield with counts-only receipts per turn; supported flows depend on setup On-device privacy filter (classifier + regex), fail-closed scrubbing, wire-level verification Connector credentials encrypted server-side, never returned by the API Policy gateway + audit trail, fail-closed CEL rules, encrypted credentials, secrets kept out of transcripts
Computer providers Cloud Linux desktop per bot (Box) or your own machine Local sandbox VM (Apple Containerization) + per-agent browser Docker · E2B · Daytona · local machines One container per bot (browser + workspace), optional gVisor
Voice mode Spoken replies + bot calls (free built-in voice; ElevenLabs optional); on-device dictation On-device voice input — transcription, wake word, global hotkey Speak replies, dictate, call bots — BYO ElevenLabs / OpenAI / Cartesia —
Mobile apps Built — store listings pending — Yes — Expo app —

README comparison, August 2026. Features and availability may have changed; this is not a runtime benchmark.

Start with the workflows you need: setting up a bot, reviewing an approval, and checking the result. The Muster guides explain how to try them.

ONE TASK TO BEGIN WITH

Make the first move a small one.

  1. Choose your workspace. Open Muster in your browser, or download the desktop app for work on your computer.
  2. Add your first teammate. Connect your model provider, give the bot context, and choose a task you can check.
  3. Build out the team. Browse the team library and review the members, tools and routines before importing a pack.
  4. Bring over the files you need. Follow the setup guide for backup and Drive connections.
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