Development environments / HumanLayer alternative

HumanLayer alternative

HumanLayer is currently a multiplayer coding-agent workspace and control plane. It brings sessions, artifacts and code review together while daemons run work on a selected workstation or remote host. That application can sit above a persistent runtime rather than replacing its filesystem and compute lifecycle.

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

When HumanLayer fits

HumanLayer fits teams wanting collaborative coding tasks, comment-driven artifact review, worktrees and a shared UI for local or remote coding agents. Keep that collaboration and orchestration layer if it is valuable to the team.

When to consider Sandbox0

Consider Sandbox0 when the required layer is durable Linux execution: retained system tools, configuration and an automatically growing whole RootFS. You still need an agent harness, model access and any collaborative application; verify daemon and tool compatibility before choosing an integration.

Capabilities

HumanLayer and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeHumanLayerNot 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 filesHumanLayerGit worktrees and artifacts are documented; general host disk durability depends on the selected machine.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSHumanLayerA daemon control plane does not itself establish managed whole-RootFS persistence.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 stateHumanLayerWorkflow/session continuation is not an established arbitrary-machine checkpoint contract.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateHumanLayerArbitrary Linux 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.

HumanLayer worktrees preserve repository organization on the daemon host. The reviewed control-plane contract does not establish complete Linux RootFS retention or automatic online disk growth. Sandbox0 addresses that execution/storage layer underneath a compatible agent application.

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.

Task artifacts synchronized through an application API are distinct from the whole Linux filesystem. The reviewed HumanLayer docs do not establish read/write access to a paused full RootFS; host file availability still follows the selected machine’s lifecycle.

See paused file operations →

The daemon host does the work

The daemon guide says app.humanlayer.com controls sessions while the chosen host launches them. A remote host can continue work when a laptop closes, provided that host remains available. Synchronized task events and a reachable UI do not imply the host’s processes survive its loss or that guest compute can be released without a separate checkpoint.

Worktrees retain code under the host’s storage policy

Workspace configuration creates one worktree per selected repository beneath a shared task workspace, with a primary repository for the session. Shared and local config resolve machine-specific paths. Those are real development-workspace features; they do not themselves establish preservation of system packages or automatic growth of a complete Linux filesystem.

Agent resumability is distinct from a process-memory checkpoint

HumanLayer coordinates tasks and agent sessions through its API and daemons. Resuming an agent workflow or showing prior artifacts is not proof that all Linux processes, open files and RAM are restored. Host storage, daemon authentication and process supervision need their own deployment policy.

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.

HumanLayer

Pricing reviewed 2026-10-18

Starter
Free for up to three team members
Up to 200 sessions/month according to the current public card.
Rate source ↗
Pro
$100 per user/month
Unlimited tasks/sessions is an application allowance, not unlimited infrastructure or model usage.
Rate source ↗
Model usage
Bring your own subscription or API key
The FAQ says there is no separate HumanLayer per-token bill; provider costs remain.
Rate source ↗
Enterprise
Custom terms
SSO, audit/volume and deployment requirements depend on the agreement.
Rate source ↗

These are collaboration/application plans. The public page invites users to bring compute and development environments; it does not give an equal-resource Linux price through the per-user fee. Provider subscriptions/API usage and the remote host still need their own budget. Current app availability and the separately published workflow building blocks should not be conflated into one open-source runtime license.

Check current HumanLayer 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 HumanLayer

  1. Inventory tasks, worktrees, artifacts, agent/model authentication and local versus remote daemon placement.
  2. Keep or replace the collaboration application while moving compatible daemon/agent execution and required Linux tools to a qualified Sandbox0 template.
  3. Test worktree setup, host/agent restart behavior, retained system configuration, RootFS growth, paused files and full seats/provider/runtime costs.

Common questions

Is Sandbox0 a drop-in HumanLayer 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.

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