Self-managed runtimes / ScitiX Agent Sandbox alternative

ScitiX Agent Sandbox alternative

ScitiX Agent Sandbox is an Apache-2.0 engine for running sandbox pools on infrastructure you operate. It targets repeatable agent evaluations and RL rollouts, with multi-cluster routing and familiar SDK interfaces. Compare that platform responsibility with a managed runtime that owns durable RootFS lifecycle.

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

When ScitiX Agent Sandbox fits

ScitiX fits teams that want to operate Kubernetes-native sandbox pools, choose runtime isolation and adapt existing E2B-style evaluation code. It can be attractive when cluster operations, pool sizing and storage policy belong inside your own infrastructure team.

When to consider Sandbox0

Consider Sandbox0 when the key requirement is a returning agent environment with whole writable RootFS persistence, automatic online growth and supported paused-file access. Evaluate the API differences and deployment policy; Sandbox0 does not currently offer the same customer self-hosting path as this open-source engine.

Capabilities

ScitiX Agent Sandbox and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeScitiX Agent 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 filesScitiX Agent SandboxStorage durability depends on the deployed backend; a standard managed durable-disk contract is not established.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSScitiX Agent SandboxWhole writable RootFS persistence across host loss/lifecycle is not established by the general pool/routing documentation.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 stateScitiX Agent SandboxPool allocation and evaluation resets are not proof of arbitrary-machine checkpoint/resume.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateScitiX Agent SandboxArbitrary process-memory capture and restore are not established for every configured backend.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.

ScitiX supplies sandbox/pool orchestration on your infrastructure. The reviewed general documentation does not establish a standard automatically growing, whole durable Linux RootFS. Define the backend’s storage contract explicitly rather than assuming multi-cloud routing supplies it.

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 reviewed orchestration docs do not establish whole-RootFS file operations while guest compute remains paused. File APIs, volume access and any storage workers need to be evaluated in the actual deployment.

See paused file operations →

Isolation depends on the runtime you configure

The current introduction says sandboxes are containers by default. For untrusted code it describes selecting a microVM runtime class, such as an E2B Kata template. Installing a sandbox API does not alone give every workload the same kernel boundary; qualify the actual runtime, template and host configuration.

Source 1 ↗

Pool routing is different from moving existing state

ScitiX describes pre-warmed pools and cross-cloud or cross-cluster request routing. Those help place new execution requests. They do not by themselves establish transfer of a running agent’s memory, committed RootFS or complete long-term filesystem history to another node. Storage and recovery need their own explicit design.

Source 1 ↗Source 2 ↗

Repeatable rollouts and a returning computer have different state needs

The documented use cases include fresh environments for agent turns, deterministic evaluation resets and RL tasks. E2B-compatible APIs can ease application porting, but reset policy, retention and full-RootFS durability still follow the deployed backend. Do not infer persistence from a stateful task or a warm idle container.

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.

ScitiX Agent Sandbox

Pricing reviewed 2026-10-18

Engine software
Apache-2.0 open-source software
Software licensing is separate from hosted compute and storage.
Rate source ↗
Infrastructure and operations
Your provider and operating costs
Kubernetes workers, warm capacity, networking, storage and maintenance need their own budget; no universal hosted sandbox-hour tariff is established.
Rate source ↗

A free software license does not make standby pools or durable storage free. The vendor’s allocation-speed examples are not an independently measured performance or cost equivalence with Sandbox0. Compare the configured isolation, available capacity, recovery policy and operator effort as well as the cloud resource bill.

Check current ScitiX Agent 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 ScitiX Agent Sandbox

  1. Inventory cluster/runtime classes, templates, SDK dependencies, pool/route configuration and the storage/reset policy used by each workload.
  2. Port compatible agent and environment definitions to Sandbox0 APIs, preserving required application code and exporting files from the existing deployment.
  3. Verify isolation and lifecycle behavior, full-RootFS retention/growth, paused files and total operating/provider costs on the workload you will run.

Common questions

Is Sandbox0 a drop-in ScitiX Agent Sandbox 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.

Battleships research record ↗scitix.github.io/Agent-Sandbox/docs/ ↗scitix.github.io/Agent-Sandbox/ ↗github.com/scitix/Agent-Sandbox ↗scitix.github.io/Agent-Sandbox/docs/installation/ ↗Sandbox0 RootFS capacity →

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