Application platforms / Heroic Labs alternative

A Heroic Labs alternative for the agent execution layer

Heroic Labs builds the Nakama multiplayer backend, Hiro toolkit, Satori LiveOps and Heroic Cloud. Its managed game stack includes dedicated production resources and databases. That is a specialized application backend rather than a general-purpose computer for an agent; compare the layer the application actually needs.

Start buildingCompare capabilities ↓

Reviewed 2026-10-19 · Published by the Sandbox0 team

When Heroic Labs fits

Heroic Labs fits games needing multiplayer, player data, leaderboards, social features and LiveOps with managed production operations. Those application features are substantial requirements that a Linux sandbox does not supply automatically.

When to consider Sandbox0

Consider Sandbox0 for compatible Linux agents that build, test or operate software and need installed tools and user files on a durable whole writable RootFS. Retain the required multiplayer and player-data services as separate integrations.

Capabilities

Heroic Labs and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeHeroic 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 filesHeroic LabsManaged database records, backups and exports provide application-data persistence, rather than a general guest-disk contract.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSHeroic LabsThe managed game deployment contract does not establish whole writable Linux RootFS retention for arbitrary agent software.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 stateHeroic LabsScaling and rolling restarts are not a documented compute-free sandbox pause/resume interface.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateHeroic LabsApplication match migration and database export do not establish general RAM checkpoints.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.

Heroic Cloud scales application CPU tiers and database resources, with rolling restarts and database constraints. That is different from automatically extending a running agent’s complete writable RootFS as free space runs low.

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 →

Durable player data and a durable operating system differ

Heroic Cloud includes a managed database, backups and deployment data export. Nakama storage objects and application records are useful durable state, but they do not establish a complete mutable Linux RootFS for arbitrary agent-installed packages. Custom server code follows its own build and deployment workflow.

Source 1 ↗Source 2 ↗

Scaling changes application nodes

Production Nakama nodes and the database scale independently; development instances use shared, non-scalable infrastructure. Tier changes trigger rolling reboots, and existing WebSocket clients must reconnect. Authoritative matches need application cooperation for graceful migration. These operations should not be described as transparent restoration of an arbitrary process checkpoint.

Source 1 ↗Source 2 ↗

Resource tiers and billing belong to the game stack

The public Nakama calculator currently renders a $600/month reference configuration; its actual cost depends on Nakama and database CPU choices. Satori starts at $600/month under separate terms. The deployment guide uses the highest recorded CPU count in a day for that day’s charge, rather than a generic per-second sandbox meter.

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.

Heroic Labs

Pricing reviewed 2026-10-19

Nakama calculator reference
$600/month for the rendered configuration
Select actual Nakama and database CPU tiers in the calculator; this is not a universal machine price.
Rate source ↗
Satori managed service
Starts from $600/month
Separate LiveOps product; confirm ingestion and bespoke terms.
Rate source ↗
Private Cloud and support
Agreement-specific pricing
Scope includes managed game infrastructure and service-specific support.
Rate source ↗

Nakama, Satori, development deployments and studio support have different scopes. Confirm CPU tiers, daily peak billing, add-ons and service agreements rather than converting a managed game backend subscription into an equal-performance Linux VM quote.

Check current Heroic 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 Heroic Labs

  1. Inventory Nakama modules, Satori events, player data, databases, match migration and client SDK dependencies.
  2. Retain the game-specific backend or choose an explicit replacement; port only compatible Linux agent build, test and operations tasks.
  3. Validate application behavior, credentials and data exports separately from agent system-path retention, online growth, paused files and compute costs.

Common questions

Is Sandbox0 a drop-in Heroic 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 ↗heroiclabs.com/pricing/index.html ↗heroiclabs.com/docs/heroic-cloud/concepts/titles/nakama-deployments/llm.md ↗heroiclabs.com/docs/heroic-cloud/concepts/introduction/scaling/llm.md ↗Sandbox0 RootFS capacity →

Related comparisons

Aptible vs Sandbox0 →Azure Container Apps vs Sandbox0 →Clever Cloud vs Sandbox0 →Dockup vs Sandbox0 →Fly.io Machines vs Sandbox0 →Google Cloud Run vs Sandbox0 →