Development environments / Dagger alternative

A Dagger.io alternative depends on whether you need pipelines or a machine

Dagger is a programmable pipeline execution engine and cloud service for repeatable CI work. Its cache volumes and cached operations reuse work across runs. Sandbox0 supplies a durable agent computer; that does not automatically replace a pipeline graph, caching model, or cloud trace product.

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

When Dagger fits

Dagger fits teams that want portable pipelines in code, local/cloud execution, containerized steps and services, operation caching, and traces. Keep those orchestration capabilities when repeatable builds and CI acceleration are the central requirement.

When to consider Sandbox0

Consider Sandbox0 when an agent needs a durable mutable Linux environment that retains tools and configuration across tasks, grows its RootFS online, and supports file operations during compute pauses. Supply the pipeline or workflow engine separately where required.

Capabilities

Dagger and Sandbox0: what persists?

Feature comparison with documentation and verification status
Capability	Dagger	Sandbox0
Environment and runtime lifetime	DaggerNot established in this review	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 files	DaggerNamed cache volumes retain directory contents across workflow runs; this is a pipeline cache contract, not general machine storage.View evidence ↗	Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFS	DaggerThe reviewed engine/cache model does not establish a durable complete returning-agent RootFS contract.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 state	DaggerWorkflow continuation and operation caching do not establish managed machine pause/resume with a stable user-computer identity.View evidence ↗	Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process state	DaggerReusable pipeline results and directories are not evidence of arbitrary agent-process memory 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.

A cache directory reused across pipelines is different from automatic online expansion of the complete mutable agent RootFS. Sandbox0’s growth serves that machine lifecycle, while pipeline caching and graph execution remain separate features.

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 →

Cached workflow state is not a returning machine identity

Dagger cache volumes retain selected directory contents across sessions and are useful for dependencies. Container and workflow objects let a pipeline compose execution and artifacts. Those reuse primitives do not establish one complete writable Linux machine whose arbitrary system changes and active processes return between user tasks.

Source 1 ↗Source 2 ↗Source 3 ↗

Pipeline orchestration can remain a separate layer

Dagger separates pipeline logic from the environment that executes it, allowing local or cloud runs with multi-container services and automatic caching. If an agent invokes these pipelines, evaluate that orchestration independently of the agent’s own execution computer. Moving the agent runtime does not make existing pipeline definitions or trace integrations unnecessary.

Source 1 ↗

The cloud bill uses actual work and a plan minimum

Dagger’s current rate card meters used CPU time, sampled memory, and pipeline input/output traffic, with separate prices for new and repeat work. The charge is the higher of the plan price and usage, not both added together. Repeat-work eligibility depends on matching inputs within 30 days and does not require that the operation actually hit cache.

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.

Dagger

Pricing reviewed 2026-10-18

Starter monthly minimum: $20 per month; One user; pay the plan price or usage, whichever is higher.; Rate source ↗
Scale monthly minimum: $200 per month; Unlimited users and different trace/access entitlements; pay the higher of plan price and usage.; Rate source ↗
New-work CPU and RAM: $0.005 per CPU-minute and $0.005 per GB-minute; Actual CPU time and sampled actual memory, not a reserved whole-machine shape.; Rate source ↗
Repeat-work CPU and RAM: $0.001 per CPU-minute and $0.001 per GB-minute; Same-input operation within the documented 30-day window; cache hit is not required.; Rate source ↗
New-work pipeline inputs / outputs: $0.025 per GB in / $0.10 per GB out; Repeat-work input/output rates are $0.005 / $0.02 per GB.; Rate source ↗

Dagger uses actual CPU-minute and sampled GB-minute meters, which differ from reserved RAM or a vCPU wall-hour. The page’s plan price is a floor rather than an extra base fee on top of all usage. No fixed-workload or equal-performance savings claim follows without measured usage.

Check current Dagger 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 Dagger

Inventory pipeline definitions, container/service dependencies, cache mounts, artifacts, traces, and the separate agent process that invokes the pipeline.
Move compatible agent tools to a Sandbox0 template and retain or reimplement needed pipeline orchestration, cache, and artifact interfaces explicitly.
Validate equivalent pipeline outputs and then separately verify system persistence, RootFS growth, paused file access, and costs using actual work, traffic, and plan minimums.

Common questions

Is Sandbox0 a drop-in Dagger 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 ↗docs.dagger.io/getting-started/introduction/ ↗docs.dagger.io/reference/api/cache-volume/ ↗docs.dagger.io/reference/api/container/ ↗dagger.io/pricing/ ↗Sandbox0 RootFS capacity →

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