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Sandbox0: Persistent Cloud Sandboxes for AI Agents

sandbox0.ai ↗
This page's summary, key points, and answers are generated by AI and may be inaccurate — always verify on the original source. How this works.

Sandbox0 is a cloud-based development environment designed for AI agents, offering persistent, automatically growing root filesystems with on-demand compute.

  • Persistent root filesystem across sessions
  • Automatically grows to meet storage needs
  • Pause and resume compute to minimize costs
  • Native support for AI agent workflows
Who it's for: Software developers and AI engineers building persistent, autonomous agent workflows that require stateful filesystems. AI
#ai agents21 #cloud computing18 #sandbox1 #devops13 #virtualization2
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Overview AI

Sandbox0 provides isolated cloud-based environments specifically optimized for long-running AI agents. It decouples storage from compute, allowing developers to maintain a persistent, writable root filesystem while pausing the compute instances between tasks. This model helps teams manage costs effectively by only paying for active processing power while keeping user files and configurations intact. It integrates seamlessly into standard agent workflows via a dedicated CLI.

Gemini review AI

The real elegance of Sandbox0 lies in its refusal to treat the cloud as a ephemeral, stateless void. By treating the filesystem as a persistent, living artifact that grows alongside an agent, it solves the recurring headache of re-provisioning environments for long-running tasks. I find the move toward per-second compute billing for paused states both fair and necessary for the current wave of agent development. It is an impressive piece of engineering, though those hoping for a self-hosted or local-first experience will find themselves constrained by the cloud-only model. For builders focused on agentic persistence, this is a refined, highly pragmatic choice.

Rated and reviewed by Gemini (gemini-3.1-flash-lite) from the page content at scan time — an AI-generated opinion, not a human review.

Pros & cons AI
Pros
  • Preserves entire filesystem across sessions
  • Automatic storage scaling
  • Efficient cost management through compute pausing
  • Developer-friendly CLI tools
Cons
  • Compute resume time depends on availability
  • Self-hosting is currently not supported
  • Limited to cloud-managed runtime
4 pros 3 cons

Sandbox0 vs E2B AI

Sandbox0
sandbox0.ai
VS
E2B
e2b.dev

Sandbox0 emphasizes persistent root filesystems and long-term state, while E2B is highly tuned for low-latency, rapid-start environments for AI applications.

Aspect Sandbox0 E2B ↗
Primary Focus Persistent, growing filesystems for long-running agents. Fast-starting, secure sandboxes for transient AI tasks.
Compute Model Pause/resume compute to save costs. On-demand execution with rapid spin-up.
Persistence Fully persistent root filesystem. Ephemeral by default, requires external storage.
Developer Experience s0 CLI for management and orchestration. Comprehensive SDKs for major programming languages.
Storage Scaling Automatically expands as files are added. Standard block storage limits per sandbox.
Questions & answers AI
What happens to my files when the sandbox is paused?
The entire writable root filesystem, including your files and system configuration, is preserved during pauses.
Does the filesystem size stay static?
No, the filesystem supports automatic growth, expanding as your agent writes more data or installs more software.
How are costs calculated?
Costs are based on retained storage for the filesystem and per-second billing for active compute usage.
What's inside
  • Keep the whole RootFS. Release idle compute.
  • A full system for each user.
  • Stop paying for paused compute.
  • Wake the same environment.
  • The whole filesystem grows with your agent.
  • Start small. Grow as needed.
  • Save the changes, reuse the rest.
  • Read what the agent needs.
  • Access files without waking compute.
  • The same controls for humans and agents.

Section headings detected on the page.

Page details
Original title
Agent Sandbox with Persistent RootFS | Sandbox0
Original description
A cloud agent sandbox for running code and installing tools. Keep the whole writable filesystem, pause idle compute, and resume the same environment on demand.
Site
Sandbox0
Author
Sandbox0 Team
Reading time
~4 min · 817 words
Language
en
Theme color
#000000
Mobile-friendly
Yes
Indexable
Yes
Canonical
https://sandbox0.ai
Tech details
Next.jsCloudflareVercel
Secure (HTTPS)
Yes · HSTS
HTTP status
200 OK
Server
cloudflare
Powered by
Next.js
Page size
15 KB
Load time
494 ms
Resolved URL
https://sandbox0.ai/
Scanned
2026-11-06 03:28:38
Performance · Google Lighthouse
98
Performance
93
Accessibility
100
Best practices
100
SEO
First Contentful Paint
1.9 s
Needs work
Largest Contentful Paint
1.9 s
Good
Total Blocking Time
13 ms
Good
Visual Stability (CLS)
0.00
Good

Lab data from Google Lighthouse via the PageSpeed Insights API (mobile) · tested Nov 6, 2026. Scores can vary between runs.

Structured data · schema.org
Type
Organization
Headline
Sandbox0

Alternatives & similar resources

Other resources that cover similar ground — and how they differ.

Vercel: The Agentic Infrastructure Platform
Development · Product · vercel.com · 85%
Cloud Browser for AI Agents — Persistent Chrome | Cloudbrowser
AI & ML · cloudbrowser.tv · 85%

Similar sites around the web AI

Other places worth a look — suggested by AI, including sites not in our directory.

E2B ↗
Offers secure, isolated cloud sandboxes optimized for AI agents and code execution.
 + Add
Fly.io ↗
Provides infrastructure for running applications and virtual machines close to users.
 + Add
Railway ↗
A platform for deploying and hosting applications with simple scaling and management.
 + Add

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Topics radiating out from this resource — click one to search the directory.

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