Inside Manus Sandbox: How Its Core Design Powers AI Tasks

Manus Sandbox is a dedicated cloud computer assigned to every AI task, eliminating the traditional “blind” workflow where AI generates code that users must manually copy, run, and debug on their own machines.

The sandbox equips the AI with a complete environment, including an operating‑system file system, network connectivity, a browser, and various software tools, as illustrated in the first diagram.

To keep costs manageable while supporting thousands of concurrent AI sessions, Manus implements a dynamic lifecycle:

On‑demand creation : a sandbox VM starts when a task begins.

Automatic sleep : after a period of inactivity (e.g., the user steps away), the sandbox sleeps, preserving files and data while releasing compute resources.

Seamless wake‑up : returning to the task automatically wakes the sandbox, similar to opening a laptop lid.

Data retention follows tiered rules: free users keep their sandbox for 7 days, while Pro users retain it for 21 days. When a sandbox is reclaimed, only essential assets—uploaded attachments and AI‑generated final outputs—are migrated; temporary files, intermediate code, and environment configurations are lost, making long‑running backend services unsuitable for permanent deployment inside a sandbox.

Security is enforced through a Zero‑Trust architecture that grants the AI full root privileges within the isolated VM. This allows unrestricted installation of dependencies and environment configuration, while the sandbox remains completely isolated from Manus’s core services and the user’s local machine. If the AI corrupts the system, the sandbox can simply be deleted and recreated.

Privacy and collaboration are carefully bounded. Sharing a task link exposes only the conversation and final results; collaborators cannot access the sandbox’s file system. Inviting collaborators, however, is equivalent to handing over remote‑desktop credentials, allowing them to view and modify any files inside the sandbox.

Recommendation: avoid storing sensitive data such as API keys or private code in a sandbox that will be shared. Instead, create a clean task, copy only necessary files, and then grant collaboration rights.