Agent sandboxes / SeaCloudAI Sandbox alternative

SeaCloudAI sandbox alternative

SeaCloudAI’s current Python SDK provides cloud sandboxes with commands, files, PTY, service proxying, code execution and reusable template builds. It documents pause/connect, but not an arbitrary snapshot API or a complete host-loss durability contract. Compare the SDK surface separately from the production service guarantees.

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

When SeaCloudAI Sandbox fits

SeaCloudAI fits teams wanting a familiar E2B-style workflow and its available gateway/template ecosystem. Official base and code-interpreter templates cover different tasks; agent CLI templates are available only where that environment publishes them.

When to consider Sandbox0

Consider Sandbox0 when the complete installed Linux environment should be durable and grow online, with supported file operations during compute pause. Port SDK/lifecycle and service-proxy integrations deliberately rather than assuming identical behavior from similar method names.

Capabilities

SeaCloudAI Sandbox and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeSeaCloudAI SandboxNot 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 filesSeaCloudAI SandboxFiles and reusable templates are documented; long-term disk recovery across compute replacement is not established.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSSeaCloudAI SandboxAn E2B-style SDK surface is not proof of durable complete writable RootFS retention.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 stateSeaCloudAI SandboxThe official lifecycle example explicitly uses pause and connect; exact preserved state needs backend qualification.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateSeaCloudAI SandboxStateful Python contexts do not establish arbitrary RAM checkpoint/restore.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.

SeaCloudAI documents template baking and file APIs. Its SDK reference does not establish automatic online whole-RootFS expansion or regional recovery of committed system state. Confirm those backend guarantees before selecting it for accumulated agent state.

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.

The SDK presents file operations within a connected sandbox workflow, with pause/connect separately. It does not establish supported complete RootFS reads and writes while guest compute stays paused.

See paused file operations →

Prepared templates are not arbitrary live snapshots

The official README describes baking stable setup into reusable templates. It explicitly says snapshot APIs are not exposed because the platform does not support them. That does not invalidate template reuse, but it is a different operation from snapshotting a returning agent’s current machine state.

Source 1 ↗Source 2 ↗

Code-context state depends on the language

Python contexts are documented as stateful. Other language contexts currently act as reusable execution profiles over isolated one-shot processes. A context identifier therefore does not mean every language keeps a live process, and none of those context rules alone establish durable recovery after a node failure.

Source 1 ↗

Pause and connect need backend-specific qualification

The README demonstrates pause followed by connect and distinguishes lifecycle timeouts in seconds from command timeouts in milliseconds. It does not specify complete RootFS retention, arbitrary RAM restoration or a public numeric rate card. Confirm the deployed backend’s preserved state, recovery policy and account terms.

Source 1 ↗

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.

SeaCloudAI Sandbox

Pricing reviewed 2026-10-18

Hosted sandbox compute
No numeric public tariff verified
Obtain effective gateway/account rates and retention terms.
Rate source ↗
Reusable template builds
Confirm build and storage charges
Template preparation is separate from runtime, proxying and model usage.
Rate source ↗

Feature descriptions follow the official Python SDK documentation; confirm effective hosted-service terms. An SDK repository or its license does not make the hosted service free. The current README installs seacloud-sandbox; do not assume older package names or gateways are interchangeable.

Check current SeaCloudAI Sandbox 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 SeaCloudAI Sandbox

  1. Inventory gateway/API root, template references, language-context semantics, lifecycle timeouts and the effective commercial terms.
  2. Export required files and rebuild stable tools in a Sandbox0 template; port commands, PTY, files and service proxying explicitly.
  3. Test system-state retention, failure recovery, online RootFS growth, paused files and full compute/template/storage/model costs.

Common questions

Is Sandbox0 a drop-in SeaCloudAI Sandbox replacement?

Evaluate API compatibility and product scope. A shared sandbox category does not make SDKs, lifecycle semantics, or limits interchangeable.

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.

Battleships research record ↗github.com/SeaCloudAI/sandbox-python ↗raw.githubusercontent.com/SeaCloudAI/sandbox-python/8afa3c0fe1eb8b42fab00b920d898c409bd7979c/README.md ↗Sandbox0 RootFS capacity →

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