Development environments / Party alternative

A Party alternative for the execution layer

Party currently brings teams and fleets of coding agents into shared conversations, previews and review flows. It includes session environments, but its public offer is a collaboration product rather than a published CPU/RAM rate card. Compare the execution layer separately from the team workflow you want to keep.

Start buildingCompare capabilities ↓

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

When Party fits

Party fits teams wanting shared context, parallel coding sessions, preview feedback, human checkpoints and different harness/model combinations. It advertises managed access or team-provided credentials and connections from Slack/Teams into the shared session.

When to consider Sandbox0

Consider Sandbox0 if you are building that agent experience and need each user’s tools, configuration and files on a growing durable RootFS. You must supply the collaboration UI, agent routing, review/checkpoint policy, previews and provider integration.

Capabilities

Party and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimePartyNot 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 filesPartyShared project/session state does not establish a low-level persistent-disk lifecycle.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSPartyThe reviewed offer does not establish full writable RootFS retention.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 statePartyA compute-free retained-machine pause/resume contract is not established.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process statePartyHuman checkpoints in project workflows are not arbitrary process-memory snapshots.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.

Party’s public session-environment description does not establish automatic online whole-RootFS expansion or a published disk ceiling. Sandbox0 provides that growth behavior on enabled templates, while the collaboration and harness-routing layer remains application work.

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 →

Human and agent coordination is part of the product

Party keeps specifications, decisions and live previews in a shared thread, with configurable agent roles and human checkpoints. Multiple harnesses can participate in a project. A Linux sandbox can host execution, but does not reproduce those collaboration and approval workflows on its own.

Source 1 ↗

Credits and concurrency are independent constraints

Plans belong to the whole team and have no per-seat fee. Credits fund usage, while the plan separately limits concurrent active sessions. Extra turns wait for capacity. A credit allowance does not mean unlimited parallel execution, and an illustrative agent-turn amount on the homepage is not a fixed rate card.

Source 1 ↗

Environments do not establish every storage guarantee

The site describes session environments and tenant sandboxing, with enterprise discussions for deployment/network options. It does not establish the whole writable RootFS retention, memory-checkpoint or online disk-growth contract for every environment. Those properties remain unverified rather than confidently absent.

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.

Party

Pricing reviewed 2026-10-18

Free
$0/month for the team
$100 credits once; two concurrent active sessions.
Rate source ↗
Starter
$20/month for the team
$20 credits monthly plus $200 extra one-time credits; four concurrent active sessions.
Rate source ↗
Pro
$200/month for the team
Advertised $400 credits monthly plus $400 extra one-time credits; ten concurrent active sessions.
Rate source ↗
Enterprise
Custom pricing
Managed/self-hosted options and support require agreed terms.
Rate source ↗

These are the current homepage’s monthly USD team offers, not VM-hour prices. One-time credits are not recurring, and credit consumption depends on actual usage. BYOK provider charges and selected harness/model terms need separate accounting; no fixed credit-to-token or credit-to-VM-hour conversion is assumed.

Check current Party 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 Party

  1. Preserve repositories, specifications, decisions, required session files and credential references through supported team workflows; check available export rights before ending access.
  2. Build or retain team communication, agent/harness routing, previews, human checkpoints and model-provider billing around compatible Sandbox0 execution.
  3. Test long-running agent state, tools outside the workspace, RootFS growth, paused files and the complete team-product versus runtime/provider bill.

Common questions

Is Sandbox0 a drop-in Party 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 ↗party.build/ ↗Sandbox0 RootFS capacity →

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