Agent sandboxes / Baponi alternative

A Baponi sandbox alternative for an evolving agent computer

Baponi’s Deep Agents backend retains files, installed packages, and environment changes across calls. Its rate card prices executions in credits, with per-call limits. Compare that execution unit and retention scope with a long-lived Linux RootFS that grows automatically.

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

When Baponi fits

Baponi fits teams that want a ready Deep Agents backend, managed per-user sandbox lookup, file and code tools, MCP/REST access, and credit-based short execution. Custom OCI images and own-bucket storage can support existing workflows.

When to consider Sandbox0

Consider Sandbox0 when the application needs a continuously reusable Linux environment, process and service control, automatic whole-RootFS growth, and supported file operations during compute pauses. Your agent framework remains a separate integration choice.

Capabilities

Baponi and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeBaponiFree and Pro publish per-execution limits of 60 seconds and one hour; these do not establish the complete retained sandbox 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 filesBaponiFiles, installed packages, and environment changes persist across backend calls.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSBaponiCross-call persistence is documented, but the reviewed integration does not define retention for every writable RootFS path.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 stateBaponiNot established in this reviewSandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateBaponiThe reviewed backend guide does not establish running-process or RAM checkpoint restoration.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.

Baponi documents cross-call state, managed storage, and bucket mounts. Its reviewed integration and rate card do not establish automatic online growth of the entire mounted writable RootFS.

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 →

An execution timeout is not the lifetime of retained session files

Baponi’s backend can get or create a sandbox by ID, retaining installed packages and changes across calls. Free allows short individual executions and Pro allows longer ones. Those are per-execution limits, so do not describe them as proof that all retained agent state disappears after each call.

Source 1 ↗Source 2 ↗

Credit examples matter more than an invented resource formula

The price page defines a base credit as up to 60 seconds at 1 CPU and 1 GiB. It rounds a 90-second base run to two credits and also prices a 60-second 2 CPU/2 GiB run as two credits. Use the published examples and effective resource tier rather than multiplying CPU and RAM counts together.

Source 1 ↗

Managed storage and your own bucket have different bills

Baponi lists included managed storage plus overage, while own-bucket mounts do not count against that allowance. The bucket owner still pays its cloud storage costs. Persistent backend state does not by itself establish that every root path is retained or that the running filesystem automatically expands.

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.

Baponi

Pricing reviewed 2026-10-18

Free plan
$0 per month
1,000 monthly credits; up to 60 seconds per execution at the base resource tier.
Rate source ↗
Pro plan
$97 per month
10,000 included credits; up to 4 CPU, 4 GiB RAM, and one hour per execution.
Rate source ↗
Pro credit overage
$1 per 1,000 credits
Rate source ↗
Managed storage above allowance
$0.10 per GB-month
10 GB managed storage included; own-bucket storage has separate provider costs.
Rate source ↗

Credits include execution time and resource tier, with rounding illustrated by the vendor’s examples. The rate page labels its pricing current as of June 2026; confirm account terms before estimating a production total. Enterprise execution limits and deployment are custom.

Check current Baponi 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 Baponi

  1. Inventory sandbox session IDs, files, installed tools, custom images, managed storage, and bucket mounts before provider cleanup.
  2. Port the Deep Agents backend or execution adapter, tool calls, credentials, and storage paths, preserving per-user separation.
  3. Test multi-call tasks, background-service needs, system installs, RootFS growth, paused file operations, and effective execution-credit versus runtime costs.

Common questions

Is Sandbox0 a drop-in Baponi 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 ↗baponi.ai/docs/guides/deep-agents ↗baponi.ai/pricing/ ↗Sandbox0 RootFS capacity →

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