Agent testing / Arga Labs alternative

An Arga Labs alternative depends on what the test environment supplies

Arga Labs currently combines stateful service twins with browser testing and reusable scenarios. Your application or agent continues to run in your own local, staging, or preview environment. Sandbox0 can provide that execution environment, while the service twins remain a separate testing requirement.

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

When Arga Labs fits

Choose Arga for controlled external-service behavior, reusable test scenarios, recorded browser evidence, and repository-triggered test workflows. Verify supported APIs, UI surfaces, and error cases for the particular twins your integration needs.

When to consider Sandbox0

Choose Sandbox0 when you need a durable Linux environment for the agent and its installed tools, with online RootFS growth and supported file access during pauses. It does not provide Arga’s third-party service replicas or saved browser-test product as a built-in replacement.

Capabilities

Arga Labs and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeArga LabsPublished TTL limits concern service-twin runs; they do not establish a general agent runtime lifetime.View evidence ↗Sandbox0ttl 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 filesArga LabsSaved scenarios and test evidence are application artifacts, not a customer-managed durable Linux disk contract.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSArga LabsThe agent/app runs in the customer’s environment; no returning-agent complete RootFS is 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 stateArga LabsSeed, reset, and saved tests describe repeatable test state rather than a Linux compute pause feature.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateArga LabsThe architecture guide explicitly says repeatability does not reconstruct the application’s process state.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.

Arga’s saved twin scenarios preserve external-service starting state, not the agent machine’s expanding system filesystem. Sandbox0 can host the runner while Arga or another testing layer supplies realistic external services.

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.

See paused file operations →

A saved scenario is not an application process snapshot

Arga’s scenarios describe reusable starting state for service twins, and saved tests describe browser steps and configuration. Its architecture guide explicitly distinguishes this repeatability from capturing every application call or reconstructing application process state. A persistent Linux machine and a repeatable external-service world solve different parts of agent testing.

Run duration and monthly allowances use different units

The plan documentation gives Free short-lived twins a 10-minute TTL, and Team/Paid twins a maximum 480-minute TTL. Monthly twin minutes are an aggregate allowance, not one uninterrupted machine lifetime. The marketing plan names and quotas differ from that documentation, so check effective account limits rather than blending them into one guarantee.

Published plan prices need current entitlement confirmation

The public price page advertises Free, Pro, Team, and Enterprise, while the docs compare Free, Team, and Paid and show different CI allowances. Use the public dollar prices as advertised, disclose the mismatch, and confirm included usage before purchasing. Those fees cover service twins and test workflows, not equivalent Linux CPU or RAM.

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.

Arga Labs

Pricing reviewed 2026-10-18

Advertised Free plan
$0 per month
Public price page lists 10-minute sessions and limited evaluation usage.
Rate source ↗
Advertised Pro plan
$1,250 per month
Public page lists 1,500 twin runs and 30,000 long-running twin minutes monthly; confirm effective entitlements.
Rate source ↗
Advertised Team plan
From $3,500 per month
Adjusted by usage and team size; public marketing and docs do not use the same plan/quota table.
Rate source ↗
Enterprise
Custom pricing
Rate source ↗

The docs’ Team/Paid table and public Free/Pro/Team/Enterprise page disagree on plan names and quota details, including CI checks. Do not promise unlimited usage from one table while applying another table’s TTL or fees. Obtain the effective offer. No raw-compute savings percentage follows from this specialized testing subscription.

Check current Arga Labs 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 Arga Labs

  1. Inventory service twins, seeded scenarios, browser tests, PR workflows, evidence, and the separate application execution environment.
  2. Move compatible runner code and system dependencies into a Sandbox0 template while retaining or replacing the required service simulations.
  3. Verify test outcomes and provider surface coverage separately from whole-RootFS persistence, online growth, paused file access, and the effective testing subscription.

Common questions

Is Sandbox0 a drop-in Arga Labs 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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