The official bytebot-ai/bytebot repository was archived on March 7, 2026 and is read-only. This does not establish that every Bytebot-hosted offering has ended. Read the source ↗

Computer-use platforms / Bytebot alternative

A Bytebot.ai alternative starts by separating the desktop agent from compute

Bytebot combines a Linux desktop, a model-driven task loop, a web interface, and a database. Sandbox0 provides an execution runtime rather than that complete desktop-agent application. The official Bytebot repository is archived, while the website and deployment documentation remain available.

Start buildingCompare capabilities ↓

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

When Bytebot fits

Bytebot may fit teams that want its self-operated desktop agent, screenshot and input APIs, task UI, takeover workflow, and source access. Review the archived code and maintenance plan before relying on that stack for a new deployment.

When to consider Sandbox0

Consider Sandbox0 for the durable compute layer underneath an agent application you operate. Replacing Bytebot’s application also requires a desktop-control and observation layer, model loop, task interface, and any human takeover features you need.

Capabilities

Bytebot and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeBytebotNot 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 filesBytebotThe self-operated guide supports persistent volumes for important desktop data; retention and backups depend on the deployment.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSBytebotPersistent task history and selected container volumes do not establish a complete durable 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 stateBytebotApplication task continuation and human takeover are not proof of managed compute checkpoint pause/resume.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateBytebotNo complete process-memory checkpoint guarantee is established by the reviewed self-operated architecture.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.

The reviewed desktop container and volume guidance leaves capacity growth to the deployment. It does not establish automatic online growth of a regionally durable complete 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 →

Task history and desktop state are separate persistence surfaces

Bytebot’s architecture persists tasks and conversation messages in PostgreSQL and runs the desktop in a separate container. Its desktop guide recommends volumes for important data and backing up customizations outside the container. Installed software can remain available across tasks in an existing deployment, but that does not establish complete machine recovery across container replacement or host loss.

Source 1 ↗Source 2 ↗Source 3 ↗

An archived repository changes the maintenance decision

GitHub marks bytebot-ai/bytebot archived and read-only as of March 7, 2026. That is a source-maintenance status, not proof that every Bytebot web offering has stopped. The deployment guide still describes the agent, desktop, web UI, and database as independently operated services; check image provenance and update responsibility before adoption.

Source 1 ↗Source 2 ↗Source 3 ↗

The open stack has hosting and inference costs

The archived repository is Apache-2.0 licensed, and the deployment guide expects infrastructure plus an external model API key. A software license is not an all-in desktop-hour rate. The reviewed public site does not establish a numeric current hosted price, so compare an actual hosted offer or the full self-operated stack rather than inventing a free-cloud allowance.

Source 1 ↗Source 2 ↗Source 3 ↗

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.

Bytebot

Pricing reviewed 2026-10-18

Self-operated Bytebot software
Apache-2.0 license
Host compute, desktop storage, database, network, and operation remain separate.
Rate source ↗
Model execution
External model-provider usage
The deployment requires an appropriate provider key; usage is not included in the software license.
Rate source ↗
Current hosted price
Confirm availability and current commercial quote
Rate source ↗

The Railway deployment guide is an architecture/deployment source, not a fixed monthly infrastructure quote. Confirm current hosted availability and terms directly if choosing that path. This comparison does not treat the whole Bytebot desktop-agent application as a feature-equivalent runtime API.

Check current Bytebot 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 Bytebot

  1. Export important desktop files, database-backed tasks/history, image customizations, credentials, and any agent workflows that must remain available.
  2. Decide which desktop-agent components to retain or replace, package compatible tools in a Sandbox0 template, and port the command/file and observation/control integration.
  3. Validate actual desktop compatibility, repeated system state, growing files, paused file access, model cost, and operation of the complete agent application.

Common questions

Is Sandbox0 a drop-in Bytebot 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.bytebot.ai/core-concepts/architecture ↗docs.bytebot.ai/core-concepts/desktop-environment ↗github.com/bytebot-ai/bytebot ↗docs.bytebot.ai/deployment/railway ↗www.bytebot.ai/ ↗Sandbox0 RootFS capacity →

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