Agent testing / Playgent alternative

Playgent alternative

The Playgent at useplaygent.com currently provides reinforcement-learning environments for finance. It sells expert-curated tasks, verifiers and infrastructure for post-training. It is distinct from the similarly named gaming product and from a general-purpose production agent sandbox.

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

When Playgent fits

Playgent fits model builders seeking challenging financial workflows, verification rubrics and environment data for training or evaluation. Keep that specialized task and reward layer if improving financial agent capability is the objective.

When to consider Sandbox0

Consider Sandbox0 when you need the Linux execution environment for your own agent or compatible evaluation code, with retained tools and growing files. You must separately supply or license financial tasks, data, verifiers and any training infrastructure.

Capabilities

Playgent and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimePlaygentNot 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 filesPlaygentTraining environment/data delivery does not establish a general-purpose durable disk lifecycle.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSPlaygentFull writable Linux RootFS retention for arbitrary production agents is 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 statePlaygentTraining-loop interaction does not establish arbitrary-machine checkpoint/restore.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process statePlaygentArbitrary 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.

Playgent’s task, verifier and training-environment offer does not establish automatic online growth of a full Linux RootFS. Sandbox0 retains the execution host’s system tools and accumulating files; the domain data and rewards remain separate.

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 Playgent offer does not establish a Files API for reading or editing an entire paused Linux RootFS. Dataset access and training artifacts should be covered by their own delivery/storage terms.

See paused file operations →

The task and reward design are core product value

Playgent describes finance experts curating tasks, verification rubrics and realistic environments. Its examples involve financial analysis across documents and structured workflows. Compute alone does not provide those problems, ground truth or grading logic.

Source 1 ↗

An RL environment is a controlled learning system

The homepage defines a loop of agent actions, observations and rewards, and says its data is delivered as production-ready RL environments for post-training. That refers to training integration, not a promise of a persistent customer Linux desktop for arbitrary production work.

Source 1 ↗

Current access is arranged around a use case

The FAQ directs customers to discuss their needs and integrate the data into a training pipeline. The reviewed page does not establish a self-service sandbox API, generic CPU/RAM tariff or automatic disk-growth contract. Preserve the actual data and deployment agreement when comparing alternatives.

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.

Playgent

Pricing reviewed 2026-10-18

RL-environment access
Contact the vendor; no numeric self-service rate verified
Scope includes tasks, verifiers and training infrastructure according to the FAQ; request the actual data and usage terms.
Rate source ↗

The reviewed primary page offers commercial environment data without a public VM-hour rate. Missing numeric pricing is not zero cost. Data rights, task scope, training integration and infrastructure are different components from Sandbox0’s compute/storage meters.

Check current Playgent 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 Playgent

  1. Identify required financial tasks, data rights, verifiers, reward definitions and the actual commercial delivery terms.
  2. Run compatible licensed task/agent code on Sandbox0 where appropriate, keeping training orchestration and any specialized infrastructure explicitly configured.
  3. Validate grading fidelity, environment resets, retained dependencies, RootFS growth, paused files and complete data/training/runtime costs.

Common questions

Is Sandbox0 a drop-in Playgent 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 ↗www.useplaygent.com/ ↗Sandbox0 RootFS capacity →

Related comparisons

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