Best cloud dev environments for AI agents in 2026, ranked (vs Codespaces, Ona and others)
Updated October 24, 2026 .md
Short answer: For coding agents we rank Sandboxer first: a full Ubuntu microVM per agent with root, Docker and agents preinstalled, which keeps memory across a stop. Prized and exe.dev also give agents full Linux boxes. Pick Codespaces if your work lives in GitHub, Namespace for macOS, Lightning AI for GPUs, and Ona for environments inside your own VPC.
Published by Sandboxer, and we're on this list. We ranked by the criteria below and say where others are the better choice. Every fact about another platform comes from its own docs or pricing page, checked on the date shown; follow each name for the full comparison and sources.
Dev environments for people vs for agents#
Cloud dev environments started as remote workspaces for developers: open an IDE in the browser, code, close the tab. Coding agents need something slightly different:
- they run unattended for hours, so session caps and idle timeouts matter;
- they need root and Docker to install and run whatever the task needs;
- you want many in parallel, each isolated from the others;
- and pausing without losing the session, so you can stop paying while the agent waits for you.
How to compare them#
- A full machine: root and Docker.
- Isolation: its own VM or microVM.
- State across sleep or stop: whether running processes survive.
- Session length: no short cap for unattended runs.
- Preview URLs: a URL for what the agent builds.
- Self-serve: you can sign up and start today.
We apply the criteria in this order; later ones break ties. Platforms not open to new customers are listed last.
Comparison table#
| # | Platform | Isolation | Resume keeps running processes | Docker / full Linux | Nested KVM | 4 vCPU / 8 GB, per hour | Checked |
|---|---|---|---|---|---|---|---|
| 1 | Sandboxer | microVM (Cloud Hypervisor, its own kernel) | Yes | Yes | Yes | $0.036 | 2026-10-24 |
| 2 | Prized | Firecracker microVM (sandboxes); dedicated VM (boxes) | Partly | Yes | No | $0.26 | 2026-10-24 |
| 3 | exe.dev | VM (own VMM process per VM) | Not documented | Yes | Not documented | $0.21 | 2026-10-24 |
| 4 | Namespace Devboxes | full VM | Not documented | Yes | Not documented | — | 2026-10-24 |
| 5 | Amp Orbs | Not documented | Yes | Partly | Not documented | $0.33 | 2026-10-24 |
| 6 | Lightning AI Studios | Not documented | Partly | Partly | Not documented | — | 2026-10-24 |
| 7 | boxes.dev | separate cloud machine per agent | Partly | Not documented | Not documented | $0.60 | 2026-10-24 |
| 8 | GitHub Codespaces | container on a VM | Not documented | Not documented | Not documented | — | 2026-10-24 |
| 9 | Zo Computer | Not documented | Partly | Not documented | Not documented | — | 2026-10-24 |
| 10 | Cube Computer | Not documented | No | Not documented | Not documented | $0.036 | 2026-10-24 |
| 11 | Sealos DevBox | Kubernetes-based (isolation not stated) | Not documented | Not documented | Not documented | — | 2026-10-24 |
| 12 | Ona | VM per environment | Not documented | Partly | Not documented | — | 2026-10-24 |
"Not documented" means the platform's public docs don't say. Prices are list prices for one 4 vCPU, 8 GB machine-hour; a dash means the platform doesn't sell that size by the hour or doesn't publish a price for it.
The environments, ranked#
1. Sandboxer#
At a glance (source: our docs and pricing): isolation: microVM (Cloud Hypervisor, its own kernel) · resume keeps processes: Yes · longest session: No limit on paid plans · price: $0.036/hour.
Best for: agents that run unattended, many in parallel. Every sandbox is a Cloud Hypervisor microVM with Ubuntu 24.04, root, systemd and Docker, with Claude Code, Codex and other agents preinstalled and driven over the CLI or API. Stopping saves memory, any port becomes an HTTPS URL, and you can SSH in or open a desktop.
Where others win: no macOS or Windows environments, no GPUs, and no browser IDE built in (use SSH, for example VS Code Remote-SSH).
2. Prized#
At a glance (source: Prized docs, checked 2026-10-24): isolation: Firecracker microVM (sandboxes); dedicated VM (boxes) · resume keeps processes: Partly · longest session: free tier: 60 minutes per sandbox · price: $0.26/hour · full comparison and sources.
Best for: a dedicated cloud Linux box that syncs with your laptop, plus short-lived Firecracker sandboxes with live-process forks.
Where it's weaker for this use: the sandboxes are in beta, and nested KVM isn't available inside a box.
3. exe.dev#
At a glance (source: exe.dev docs, checked 2026-10-24): isolation: VM (own VMM process per VM) · resume keeps processes: Not documented · longest session: Not documented · price: $0.21/hour · full comparison and sources.
Best for: many persistent VMs on one flat monthly pool, reachable as root over SSH with HTTPS URLs, in nine regions (one closed to new accounts).
Where it's weaker for this use: whether a paused VM keeps its memory isn't documented.
4. Namespace Devboxes#
At a glance (source: Namespace Devboxes docs, checked 2026-10-24): isolation: full VM · resume keeps processes: Not documented · longest session: 3 h (Developer, Devbox Plus), 5 h (Team), 24 h (Business) · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: macOS devboxes on Apple Silicon, or teams already on Namespace for CI. Full VMs with Docker, persistent storage, SSH and shareable authenticated URLs.
Where it's weaker for this use: sessions are capped at 3 hours on the Developer and Devbox Plus plans.
5. Amp Orbs#
At a glance (source: Amp Orbs docs, checked 2026-10-24): isolation: Not documented · resume keeps processes: Yes · longest session: no run limit stated; pauses when idle · price: $0.33/hour · full comparison and sources.
Best for: teams using the Amp agent: orbs pause with memory and disk, and Portals share dev-server URLs with review comments back to the agent.
Where it's weaker for this use: it's built around Amp, and the isolation type isn't documented.
6. Lightning AI Studios#
At a glance (source: Lightning AI Studios docs, checked 2026-10-24): isolation: Not documented · resume keeps processes: Partly · longest session: free: restart every 4 h; paid: none listed · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: AI and ML work that needs GPUs, from T4 to H200, in persistent workspaces you can duplicate, with a free CPU workspace.
Where it's weaker for this use: free workspaces restart every 4 hours, and Docker is only partly documented.
7. boxes.dev#
At a glance (source: boxes.dev docs, checked 2026-10-24): isolation: separate cloud machine per agent · resume keeps processes: Partly · longest session: Not documented · price: $0.60/hour · full comparison and sources.
Best for: a fresh Linux computer per coding agent, with templates, sleep, preview URLs, per-second billing of awake time, and per-seat plans with hour bundles.
Where it's weaker for this use: memory-preserving sleep is only partly documented.
8. GitHub Codespaces#
At a glance (source: GitHub Codespaces docs, checked 2026-10-24): isolation: container on a VM · resume keeps processes: Not documented · longest session: 12 h maximum lifetime; idle timeout 30 min default, up to 240 min · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: work that lives in GitHub and uses devcontainer.json, with free monthly hours on personal accounts and port visibility controls.
Where it's weaker for this use: a codespace has a 12-hour maximum lifetime and runs as a container on a VM.
9. Zo Computer#
At a glance (source: Zo Computer docs, checked 2026-10-24): isolation: Not documented · resume keeps processes: Partly · longest session: no limit on paid plans (always on) · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: a personal always-on cloud computer with an AI assistant, file storage and website hosting, driven mostly through chat, on flat monthly plans.
Where it's weaker for this use: it's built for a personal assistant rather than running your own coding agents at scale.
10. Cube Computer#
At a glance (source: Cube Computer docs, checked 2026-10-24): isolation: Not documented · resume keeps processes: No · longest session: no limit · price: $0.036/hour · full comparison and sources.
Best for: one always-on cloud Linux machine for your own agents, managed from a Mac app, browser or phone, on prepaid credit.
Where it's weaker for this use: no memory-preserving pause and no public URL per port in its docs.
11. Sealos DevBox#
At a glance (source: Sealos DevBox docs, checked 2026-10-24): isolation: Kubernetes-based (isolation not stated) · resume keeps processes: Not documented · longest session: Not documented · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: teams deploying to Sealos who want IDE connections, public preview URLs and predictable monthly packages.
Where it's weaker for this use: it's Kubernetes-based and the isolation type isn't stated.
12. Ona#
At a glance (source: Ona docs, checked 2026-10-24): isolation: VM per environment · resume keeps processes: Not documented · longest session: Not documented · price: No 4 vCPU / 8 GB list price · full comparison and sources.
Best for: enterprises that need environments inside their own AWS or GCP VPC, defined as Dev Containers with org-wide guardrails.
Where it's weaker for this use: its docs say new customer sign-up is closed, and its site describes Ona as part of OpenAI.
What it costs#
Dev environments price in three ways: per second or minute while awake (Sandboxer, boxes.dev, Namespace, Cube Computer), credit or hour bundles (Lightning AI, boxes.dev plans), or flat monthly plans (exe.dev pools, Sealos, Zo). For agents that run in bursts, per-second billing plus a free stopped state usually costs least. On Sandboxer the default size (4 vCPU, 8 GB) is $0.036/hour, and a stopped sandbox costs nothing.
How we tested#
We read each platform's own docs and pricing pages, recorded what they state with a date, and had a second reviewer check each claim against its source. We didn't benchmark other platforms. Sandboxer's timings, measured by us on 2026-10-24, are in results and conditions.
Which should you choose?#
- Unattended coding agents, many in parallel, keeping sessions across stops: Sandboxer.
- A personal box that syncs with your laptop: Prized.
- Many persistent VMs on a flat pool, or regions outside the US: exe.dev.
- macOS: Namespace Devboxes.
- Your work lives in GitHub: Codespaces.
- GPUs: Lightning AI Studios.
- Inside your own VPC: Ona.
FAQ#
What is the best cloud development environment for AI agents?#
For agents that run unattended with Docker and need to keep state across pauses, we rank Sandboxer first. For humans working in a browser IDE on GitHub repositories, Codespaces is the natural fit.
Can Claude Code or Codex run in GitHub Codespaces?#
They can run in any Linux environment you can install them into. Note that a codespace has a 12-hour maximum lifetime, so long unattended runs need a platform without that cap.
Which cloud dev environments support macOS?#
Namespace Devboxes offers macOS on Apple Silicon. Sandboxer is Linux only.
Which cloud dev environments have GPUs?#
Lightning AI Studios offers GPUs from T4 to H200. Sandboxer has no GPUs.
Do cloud dev environments keep running processes when they sleep?#
It varies. Sandboxer and Amp Orbs document keeping memory across a stop or pause. boxes.dev, Prized, Lightning AI and Zo partly document it; Cube Computer says pausing stops processes. Most others don't say.
Related#
More guides
For running AI-written code we rank Sandboxer, Freestyle and E2B first: each gives code its own VM with an API or SDK and can pause with memory. Pick Daytona for Windows or GPUs, Modal or Northflank for GPUs at scale, E2B or Northflank to run in your own cloud, and Vercel Sandbox if your app lives on Vercel.
For coding agents we rank Sandboxer first: a full Ubuntu VM with Claude Code and Codex preinstalled, Docker, and stop-and-resume that keeps the agent's session in memory. Freestyle and Amp Orbs also keep memory across pauses. Pick E2B for prebuilt agent templates on open source, Docker Sandboxes for free local runs, and Codespaces if you live in GitHub.
The best Daytona alternatives depend on why you're switching. For a full Linux microVM on every sandbox with memory-saving stop and Docker, we rank Sandboxer first. E2B suits open source and self-hosting, Modal massive short-job fleets, Northflank bring-your-own-cloud with GPUs, and Vercel Sandbox apps on Vercel.
If you're leaving E2B for longer sessions or a fuller machine, we rank Sandboxer first, then Freestyle: both give each sandbox a full Linux VM that keeps memory across pauses, with Docker and no short session cap. Pick Daytona for Windows or GPUs, Northflank for bring-your-own-cloud, and stay on E2B if you need open source.