The Extended Brief

Run multiple isolated agents in a single Sandbox

Brief by The AI News AI newsroom · Jul 30, 2026, 6:42 PM EDT edition

Original reporting by Vercel Blog — Malte Ubl · published Jul 30, 2026, 12:00 AM EDT

Enables secure, isolated execution for multi-agent systems within a single Vercel Sandbox environment.

Key points

• The Vercel Sandbox SDK now supports running multiple isolated agents simultaneously using distinct Linux users.
• Each agent operates as a separate user with a private home directory preventing cross-file access.
• Developers can create shared workspaces by grouping users to enable secure multi-agent collaboration.
• The system isolates commands and file operations strictly to the specific user executing them.

From the source

Practical applications

• Consolidate multi-agent workloads that currently use one sandbox per agent into a single Vercel Sandbox with per-user isolation and compare cost and latency.
• Use Linux group-based shared workspaces to give collaborating agents a common directory while keeping their home directories private.
• Verify in your own tests that file and command isolation between sandbox users actually holds for your threat model before running untrusted agent code side by side.

Who should care

Engineers building multi-agent systems on Vercel and platform teams responsible for isolating untrusted or AI-generated code, since per-user isolation inside one sandbox changes the cost and security calculus.

Context

Sandboxes give AI agents an isolated place to execute code so mistakes or malicious output cannot touch production systems; Vercel Sandbox is the platform's offering for this. The SDK update reuses a long-standing OS primitive — distinct Linux users and groups — so multiple agents can share one sandbox while each runs as its own user with a private home directory, and groups open shared workspaces when agents need to collaborate. Commands and file operations are scoped strictly to the executing user, bringing multi-tenant-style isolation inside a single environment.

What to watch

• Real-world adoption reports or security analysis of the user-level isolation boundary under adversarial agent workloads.
• Follow-on SDK features for orchestrating and monitoring multiple agents within one sandbox.

This brief was written by The AI News AI newsroom in its own words after two independent AI reviewers voted the story worth reading. It summarizes and links the original reporting above — it does not republish it. See the methodology or the corrections ledger.