Agent testing / Vibrant Labs alternative

A Vibrant Labs alternative for execution

Vibrant Labs currently presents RL data generation and evolving agent benchmarks. That is a different layer from a general-purpose sandbox runtime. Identify whether you need evaluation data and verifiers, a persistent computer for agent execution, or both.

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

When Vibrant Labs fits

Vibrant Labs fits teams exploring agent training data, tool-use/computer-use tasks and benchmark construction. Evaluate the task distribution and verification methodology you need, rather than treating a research/data service as an interchangeable VM.

When to consider Sandbox0

Consider Sandbox0 when you need the execution environment: compatible Linux tools, system settings and user data on an automatically growing durable RootFS. Training data, task generation, rewards and evaluation design remain separate work.

Capabilities

Vibrant Labs and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeVibrant LabsNot 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 filesVibrant LabsThe reviewed research/team pages do not establish a managed persistent-disk contract.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSVibrant LabsA general-purpose whole-RootFS service is not established by the reviewed primary pages.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 stateVibrant LabsA hosted-machine pause API remains unverified.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateVibrant LabsArbitrary process-memory checkpointing remains unverified.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.

The reviewed pages do not publish a whole-RootFS growth contract. That remains unverified. Sandbox0’s online RootFS growth addresses execution capacity; it does not replace RL datasets, verifier design or research 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 →

Task generation and stateful execution solve different problems

The current site emphasizes adaptive environment design, open-ended tasks and evolving verifiers. A runtime can execute an evaluation workload, but it does not supply the curriculum, data rights or task-quality method. Assess those requirements separately.

Source 1 ↗

Ragas background is not a hosted-machine contract

The About page describes the team’s evaluation and open-source background. It does not establish a public VM lifecycle, disk capacity or pause API. Define execution-host requirements separately from dataset and verifier deliverables.

Source 1 ↗

No public sandbox unit rate was established

The reviewed primary pages offer contact and research links, without a sandbox CPU/RAM/storage rate card. Obtain terms for the actual data/research service; there is no evidence-based dollars-per-VM-hour conversion to compare here.

Source 1 ↗Source 2 ↗

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.

Vibrant Labs

Pricing reviewed 2026-10-18

Public sandbox CPU/RAM/storage rate
Not published in the reviewed primary pages
This is not a zero-cost claim.
Rate source ↗
RL data/research work
Request terms for the actual engagement
Define deliverables, usage rights and any execution costs separately.
Rate source ↗

Do not apply imported historical sandbox prices or infer a free hosted runtime. Sandbox0 bills execution and retained state; an evaluation-data engagement has a different scope and cost basis.

Check current Vibrant 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 Vibrant Labs

  1. Identify whether you are replacing runtime infrastructure or a data/evaluation engagement, and retain rights to any tasks, datasets and verifier code you plan to reuse.
  2. Run compatible evaluation or agent code on Sandbox0 with the model, datasets, scoring and artifact handling supplied by your application.
  3. Validate reproducibility, isolation, system-tool persistence, RootFS growth and total execution plus data/research costs before changing the evaluation pipeline.

Common questions

Is Sandbox0 a drop-in Vibrant 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.

Battleships research record ↗vibrantlabs.com/ ↗vibrantlabs.com/about ↗Sandbox0 RootFS capacity →

Related comparisons

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