Promptbook versus Meta Muse
When to choose Promptbook
When you want multiple agents to handle a recurring company process, such as preparing materials from a company inbox and saving them in a project you manage.
When to choose Meta Muse
When you want to plan travel, arrange appointments or organize personal tasks through WhatsApp or the Muse app where the service is available.
| Feature | Promptbook | Meta Muse |
|---|---|---|
| Self-hosting | YesYour computer or server | NoMeta cloud |
| Runs with your computer off | ConditionalWhen hosted elsewhere | YesCloud sessions |
| Where your data lives | On your host: project files with Git change history. | Data in a dedicated service cloud VM |
| AI models | Claude, GPT, Gemini, Qwen, … including local. Automatic choice from available models for the task. | Meta’s Muse models |
| Scheduled tasks | YesRecurring agent tasks | Not documentedGoal-based work is documented |
| Integrations | Universal browser. Web apps even without a connector. | Browser, connectors and custom API/CLI tools |
| Passwords and credentials | Local encrypted Wallet; passwords outside the agent’s context. | Separate credential service in cloud VM; passwords hidden from agent |
| Trust model | Zero Trust: E2E App–engine. The relay cannot read working content. | Cloud VM, isolation and independent Sentinel for actions |
| Mobile and remote control | YesApp over E2E to your own engine | YesWeb and iOS/Android apps |
| AI tools and selection | Codex, Claude Code, Gemini CLI, Qwen Code, OpenCode, … Automatic choice by task and availability. | Built-in Muse runtime |
E2E protects the App–engine connection. External AI and services receive authorized inputs. Git keeps file history; it does not encrypt files or undo external actions. Wallet stays outside Git. Data and security ↗ Connection architecture ↗
Feature details
Self-hosting
PromptbookThe engine that runs and schedules agent work lives on your computer, company server or VPS under your control.
Meta MuseThe agent runs in a dedicated cloud environment, Muse Secure VM, managed by Meta.
Runs with your computer off
PromptbookClosing the controls leaves work running. Shutting down the engine host stops it. An engine on a running server can continue.
Meta MuseMuse works in the background on its cloud computer.
Where your data lives
PromptbookAgents, tasks and conversations stay in project files on your host, with an auditable Git change history. Git does not encrypt files or undo actions in external services; Wallet stays outside it.
Meta MuseData in a dedicated service cloud VM
AI models
PromptbookClaude, GPT, Gemini, Qwen and other models through supported tools and extensible integrations, including local models depending on the adapter and task. You are not tied to one vendor. External models receive the inputs they need.
Meta MuseMeta’s Muse models
Scheduled tasks
PromptbookGive a team of agents an ongoing responsibility, goal and rules. The engine runs one-off and recurring tasks.
Meta MuseMuse plans steps toward personal goals and asks for consent on sensitive actions.
Integrations
PromptbookA universal browser operates web apps much like a person, including services without a ready-made connector or API. Capabilities depend on access, permissions and each service’s restrictions.
Meta MuseBrowser, connectors and custom API/CLI tools
Passwords and credentials
PromptbookWallet is an encrypted credential vault on your host, separate from Git. A protected integration fills verified sign-in forms without putting passwords in the agent’s context. Protection requires keeping Wallet isolated from agent tools.
Meta MuseSeparate credential service in cloud VM; passwords hidden from agent
Trust model
PromptbookZero Trust for the App–engine connection: working content is encrypted between endpoints, and neither the relay nor central backend decrypts it. External AI and tools receive authorized inputs; account and operational metadata remain separate.
Meta MuseCloud VM, isolation and independent Sentinel for actions
Mobile and remote control
PromptbookUse the control App to assign work, follow chats and manage the project over an authenticated E2E connection to your own engine. The local Console has separate access on the engine host. Closing the App does not stop the operation.
Meta MuseWeb and iOS/Android apps
AI tools and selection
PromptbookCodex, Claude Code, Gemini CLI, Qwen Code, OpenCode, GitHub Copilot, … A shared interface supports further integrations. Promptbook automatically chooses a suitable available tool and model for the task, capabilities and configured accounts, respecting your choices and limits.
Meta MuseBuilt-in Muse runtime
Core features reviewed 10 November 2026. Integrations, models and access reviewed 11 November 2026.