Computer-use platforms / CloudAxis alternative

CloudAxis.ai alternative

CloudAxis.ai is a managed agent desktop with specialists, schedules, connected business apps and a persistent workspace for deliverables. It includes hosted model access. Choosing an alternative means deciding whether you want that managed application or the Linux runtime for an agent system you control.

Reviewed 2026-10-18 · Published by the Sandbox0 team

When CloudAxis fits

CloudAxis fits users who want managed specialists, business integrations and scheduled duties without supplying model-provider keys. Its persistent files workspace and approval inbox support workflows built inside the application.

When to consider Sandbox0

Consider Sandbox0 when your own agent must install and retain Linux dependencies, change system configuration, run services and grow the entire writable RootFS. You supply models, scheduling, integrations and approval UX; raw runtime prices are not a replacement quote for that managed application.

Capabilities

CloudAxis and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeCloudAxisNot established in this reviewSandbox0ttl and hard_ttl default to 0 (disabled). Configure idle pause and deletion policies for the same persistent sandbox identity; an idle running sandbox still accrues compute charges.Read documentation →
Persistent filesCloudAxisA persistent deliverables workspace is documented; a general-purpose disk lifecycle is not established.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSCloudAxisWhole writable Linux RootFS and installed-system-package retention are not established.View evidence ↗Sandbox0Persistence extends beyond /workspace to paths such as /usr/local, /etc, and /home. Runtime tmpfs and virtual filesystems are excluded.Read documentation →
Release compute, keep stateCloudAxisWork pausing for depleted credits is not a documented arbitrary-machine checkpoint.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateCloudAxisArbitrary process-memory capture/restore is not established.View evidence ↗Sandbox0Experimental memory checkpoints can preserve compatible process state. Use memory: true on both pause and resume on a compatible deployment. A filesystem checkpoint alone does not preserve running processes.Read documentation →

Online RootFS growth

On growth-enabled images, Sandbox0 automatically expands the writable RootFS as free space runs low, within a configured sparse logical ceiling up to 64 TiB. Agent processes keep running. Growth is enabled in the qualified Cloud region; confirm activation for other regions. Existing images and snapshots retain their captured storage geometry. The ceiling is logical capacity, not preallocated host disk.

CloudAxis explicitly retains a files workspace, but the reviewed contract does not establish complete Linux RootFS retention or automatic online filesystem growth. Sandbox0’s persistence includes system configuration and installed tools beyond the deliverables directory.

Files while compute is paused

Sandbox0's Files API reads persistent files without resuming compute. Filesystem-only pauses also permit edits; retained-memory pauses are read-only and reject mutations with 409. SSH, SFTP, file watching, and runtime-only mounts require running compute.

CloudAxis documents workspace files and editing inside its application. The reviewed sources do not specify a compute-free API for accessing a paused full Linux RootFS; do not infer it from the desktop remaining available.

See paused file operations →

Persistent deliverables are a real feature with a defined scope

The Apps guide describes Files & Workspace as persistent storage for deliverables, with file editing and media saved there. That is useful retention. The reviewed public docs do not establish whether arbitrary system-package changes or a complete Linux RootFS persist, or whether that filesystem grows online as an agent accumulates data.

Capabilities and external-action approval belong to the application

Specialists receive selected capabilities rather than blanket access. Connected apps require an account integration. Actions outside the workspace default to Ask me first, and unanswered approvals expire. Migrating to an execution runtime requires rebuilding or retaining those application-level permission and review flows.

Plan caps and credit pools constrain scheduled work

Plans cap AI credits, browser minutes and searches without automatic overage. The billing guide says monthly credits are spent before bonus credits, all specialists share one account pool, and credit-dependent work pauses when both pools run out. A schedule existing 24/7 is not proof of one continuously executing Linux process.

Pricing

Compare billing models, then price your workload

CPU allocation, memory, billing minimums, disk, plan fees, and supported workload differ. These meters are not equal-performance machine quotes. Confirm region, resource units, and included allowances before estimating a total.

CloudAxis

Pricing reviewed 2026-10-18

Free
$0/month
Billing docs list 50 monthly credits at signup; managed model access is included.
Rate source ↗
Growth
$29/month
2,500 AI credits, 500 browser minutes and 120 web searches per month; hard caps.
Rate source ↗
Pro
$59/month
5,000 AI credits, 1,000 browser minutes and 240 web searches per month.
Rate source ↗
Starter bonus-credit pack
$5 for 100 bonus credits
One-off purchase without a subscription; confirm current account eligibility and applicable caps.
Rate source ↗

The September 1, 2026 list prices apply to new/current list offers; founding members retain their earlier price through March 1, 2027 according to the vendor. Credits, browser minutes and searches are not equal-resource Linux compute units or a documented universal conversion. Hosted models and managed specialist capabilities make the product scope different from Sandbox0 compute.

Check current CloudAxis pricing ↗

Sandbox0

$0.015/GiB-hour compute (billed by the second at approximately $0.000004167/GiB-second), plus $0.02/GiB-month of retained incremental RootFS and memory checkpoint data. Shared base images and platform recovery retention are excluded; paused sandboxes accrue storage charges only.

Compute / GiB-hour
$0.015
Retained data / GiB-month
$0.02
Paused compute
$0.00

A 4 GiB agent, 100 running hours

$6.00 compute

4 GiB × 100 hours, billed by the second. Keeping 20 GiB of billable incremental data for a full billing month adds $0.40. CPU is derived from memory by the platform; choose a tier that fits your workload.

Understand storage billing →

Before migrating from CloudAxis

  1. Inventory specialists, duties, file exports, connected accounts, approval rules and any founding-member pricing before defining the replacement scope.
  2. Implement or retain agent/model orchestration and business-app permissions while porting compatible Linux tools and required files to Sandbox0.
  3. Test scheduled recovery, approval behavior, system-tool retention, growing RootFS, paused files and total model, application and runtime costs.

Common questions

Is Sandbox0 a drop-in CloudAxis replacement?

Evaluate API compatibility and product scope. These products serve different core workflows, so a change may require a different architecture.

Does keeping files also keep a running agent?

Filesystem state and volatile process state are separate. Sandbox0 requires explicit compatible memory checkpoints to preserve running processes; its default filesystem resume starts fresh processes.

Sources and review scope

The Boat team's Battleships directory is the discovery source. References below describe the product and plan discussed on this page. Check current availability, regional terms and billing units before migrating. Where the cited material does not establish a capability or price, the comparison identifies that uncertainty.

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