boat vs PandaStack

Both give each agent its own VM with its own kernel. boat gives it a whole workstation, with a desktop, SSH, nested virtualization and agents you drive by API, while PandaStack is an open-source microVM platform built around fast boots, memory forks and hosting apps and Postgres.

Where boat stands out

A desktop your agent can see and use

Every boat sandbox can run a full Linux desktop streamed at 60fps, with Chromium and computer use built in. You can embed the stream in your app so a person can watch or take over. PandaStack's browser template is headless Chromium, with no desktop template.

Agents you drive from outside, keys kept out

Claude Code, Codex and five other agents come preinstalled, and you prompt, steer and follow them through one API. Real API keys stay outside the sandbox in a credentials proxy, and a credential can switch to another account when one runs out of credits.

A whole workstation, sized for the job

You pick the machine size, up to 16 vCPU / 32 GB, and get nested virtualization for Android emulators and VMs, standard SSH, raw TCP and HTTPS URLs that need a token by default. PandaStack pins every sandbox at 8 vCPUs and treats the preview URL itself as the password.

The companies and products

boat

boat.dev runs sandboxes for AI agents: each one is a full Linux VM with its own kernel.

You start a machine with one command or one API call, then SSH in, run Docker, open a desktop, or let a built-in agent (Claude Code, Codex, OpenCode and others) work in it. The disk stays between sessions, and a stopped sandbox costs nothing.

PandaStack

PandaStack calls itself the cloud for AI agents: open-source Firecracker microVMs for sandboxes, apps, Postgres and functions.

Every PandaStack sandbox, app and database runs in its own Firecracker microVM with its own Linux 5.10 kernel, booted from a template snapshot. Every template gets 8 burstable vCPUs, with RAM baked into the template, and you can build your own template from a Dockerfile. It is built for teams that want agent sandboxes, git-driven app hosting and managed Postgres on one platform, and its core is Apache-2.0 so you can run it yourself.

Which use cases each one fits

For each use case, Battleships prices every sandbox provider on the same workload and sorts them from the cheapest monthly bill up. “3rd cheapest of 367” means 2 of the other 366 providers run that workload, with every feature it needs, for less. “With limits” means the provider runs it but misses something, so it is listed after every full match. Open a use case for its whole ranking and what each provider misses.

Use case and its workloadboat: price rankPandaStack: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
A software factory needs Docker, long builds and sometimes emulators; boat adds nested virtualization, SSH and machines up to 16 vCPU / 32 GB.
3rd cheapest of 367
$634 a month
91st of 367, with limits
$832 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An assistant that lives on its machine all month fits both; PandaStack hibernates it after 5 idle minutes and wakes it on the next request, while boat keeps it running.
5th cheapest of 366
$657 a month
37th of 366, with limits
$1,778 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
PandaStack suits short code runs: templates boot from a snapshot, it bills only active CPU seconds, and idle sandboxes hibernate.
186th of 345, with limits
$2,000 a month
143rd of 345, with limits
$341 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
PandaStack's smallest machine is 8 vCPU, so small per-user sandboxes cost more there; boat offers a 2 vCPU / 4 GiB size and token-protected URLs.
Cheapest of 361
$209 a month
79th of 361, with limits
$701 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
PandaStack's fork-tree copies a running sandbox with its memory into up to 16 children at once, which suits rollouts that branch from one state.
34th of 360, with limits
$2,000 a month
184th of 360, with limits
$21,864 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
10th cheapest of 364
$200 a month
44th cheapest of 364
$814 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
4th cheapest of 377
$86 a month
68th cheapest of 377
$517 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
A dev box wants real SSH for VS Code Remote and scp; PandaStack gives a WebSocket terminal, while boat gives standard SSH.
18th cheapest of 368
$26 a month
221st of 368, with limits
$40 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
PandaStack's browser template is headless Chromium only, while boat gives each agent a full Linux desktop streamed at 60fps with computer use.
6th cheapest of 369
$200 a month
92nd of 369, with limits
$165 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
Both run Chromium with Playwright; boat can also show the live browser on a desktop so a human can watch or take over.
7th cheapest of 367
$200 a month
58th of 367, with limits
$158 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
6th cheapest of 346
$90 a month
72nd cheapest of 346
$962 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
71st of 338, with limits
$1,800 a month
284th of 338, with limits
$19,236 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
2nd cheapest of 360
$200 a month
45th of 360, with limits
$641 a month
GPU eval jobs
10 at once · 8 vCPU / 32 GB · 500 sessions of 30 min a month
Can't run itCan't run it
macOS agents
5 at once · 4 vCPU / 8 GB · 1,000 sessions of 20 min a month
Can't run itCan't run it

Key features

FeatureboatPandaStack
IsolationFull VM with its own kernel on dedicated AMD Ryzen 9 9950X hostsFirecracker microVM with its own Linux 5.10 kernel
Machine sizeSizes you choose, up to 16 vCPU / 32 GB on the $100 plan and aboveAlways 8 burstable vCPUs; RAM is fixed per template
Desktop and computer useFull Linux desktop streamed at 60fps, Chromium, computer useHeadless Chromium with Playwright; no desktop template
Nested virtualizationYes, /dev/kvm for Android emulators and VMsNot documented for the guest; KVM is a host requirement
Shell accessStandard SSH, so ssh, scp and VS Code Remote workInteractive terminal over WebSocket from the CLI
Coding agentsSeven agents preinstalled, with a prompt, steer and events APIAgent template with seven coding agent CLIs, run through exec
Keeping API keys out of the sandboxCredentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run outKeys go into the sandbox as environment variables or files
Inbound accessHTTPS URLs for up to 50 ports, token-protected by default; raw TCPHTTPS URL for up to 32 ports; the URL itself is the credential
Pause and resumeDisk is saved every minute and on stop; resume boots the machine againPause keeps memory; hibernate saves memory and disk, and running processes come back
ForkFork a running sandbox with its diskFork with disk, or fork-tree with memory into 1 to 16 children while the parent keeps running
Wake on requestNo; a stopped sandbox is started by APIYes; a hibernated sandbox wakes on the next API request
Outbound rulesOpen internet, no provider-side allowlistOpen internet, no outbound allowlist
RegionsEU only (Germany, Finland, France), with zero data retentionNo region choice documented; self-host for data residency
Self-hostingNoApache-2.0 core, runs on your own cloud or hardware
Compliance and transparencySOC 2 is in progress. We're open about where we stand: live status and data retention policy.No SOC 2 report published
Every feature Battleships tracks (43)
FeatureboatPandaStack
Full VM (own kernel)YesYes
Docker insideYesYes
Nested virtualizationYesNo
RootYesYes
SystemdYesNot published
Desktop GUIYesNo
BrowserYesYes
Computer-use APIYesNo
SSHYesNo
Persistent diskYesYes
Pause/resumeYesYes
Automatic snapshotsYesYes
Fork/cloneYesYes
Live fork (no pause)YesYes
Memory forkNoYes
Custom image (Docker or snapshot)YesYes
≥24 h sessionsYesYes
Idle auto-stopNoYes
Wake on requestNoYes
HTTPS preview URLsYesYes
Raw TCP inboundYesNot published
Public IPv4NoNo
Egress allowlistNoNo
Secret proxyYesNo
Secret proxy for any APIYesNo
Preinstalled agentsYesYes
Agent harness APIYesNo
MCP serverNoYes
GPUNoNo
WindowsNoNo
Arm64NoNo
Self-hostingNoYes
BYOCNoYes
Open sourceNoYes
Scoped API keysYesNot published
Spend limitsYesYes
Usage per sandbox (API)YesNo
Audit logsNoNot published
SSONoYes
SOC 2NoNo
HIPAANoNo
EU data residencyYesNo
Zero data retentionYesNot published

Performance

boat26.69 runs/s
PandaStackNot measured

There is no comparable measurement for PandaStack yet: it is not in the StarSling hpc-sandbox-benchmarks run where boat did 26.69 runs per second at 4 vCPU / 8 GB. PandaStack publishes its own boot times (about 49 ms at p50), which measure start time, not CPU speed.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. PandaStack has no published run in this suite yet, so there is no like-for-like number to compare.

Pricing in five scenarios

Each bill is priced from the providers' public price lists by the open Battleships engine, with the cheapest plan that runs the scenario.

Scenarioboat, a monthPandaStack, a month
One coding agent, workdays
4 vCPU / 8 GB, 50 GB disk, 8 hours a day, 22 days a month, files kept between days
$20 · $20/mo$40 · Pro
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$26 · $20/mo$144 · Pro
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$317 · $20/mo × 3 seats$1,789 · Pro
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$200 · $100/mo × 2 seats$801 · Team · with limits
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$2,000 · $2000/mo · with limits$4,244 · Team · with limits

boat: Plans start at $20 a month, and the whole fee is usage credit. You pay per second for the size you pick while a sandbox runs, and a stopped sandbox costs nothing and keeps its disk.

PandaStack: PandaStack bills CPU only for the active vCPU seconds a sandbox burns and RAM for its resident working set, at $0.054 per active vCPU-hour and $0.0162 per GiB-hour. Pro is $20 and Team $99 a month, each fee returned as usage credit; every sandbox has 8 vCPUs, so the scenarios use 8 vCPU shapes.

Limits in those scenarios

PandaStack has no small machine: every template has 8 vCPUs, and the smallest the scenarios could use is 8 vCPU / 4 GiB, so many small per-user sandboxes do not fit as asked. For 1,000 short jobs at once, Team stops at 500 sandboxes at a time, while boat's largest plan has the slots but queues starts above 90 a minute. Neither fits that burst without talking to sales. boat has no session cap on paid plans, and PandaStack's persistent sandboxes also run as long as you want, though they hibernate after 5 idle minutes.

ScenarioboatPandaStack
One coding agent, workdaysNone that biteNone that bite
One agent that never stopsNone that biteNone that bite
50 agents in parallelNone that biteNone that bite
Sandboxes for your usersNone that bite
  • smallest size offered is 8 vCPU / 4 GiB
1,000 short jobs at once
  • max 2,400 starts/day (needs ~6,667)
  • max 600 starts/hour (needs ~1,000)
  • bursts above 90 starts/min are queued (a burst of 333 takes ~4 min to start)
  • Team: max 500 concurrent
  • smallest size offered is 8 vCPU / 4 GiB

Which one should you use?

Use PandaStack when

you need to self-host an open-source sandbox platform, fork running sandboxes with their memory, or keep agents, apps and Postgres on one platform.

  • Memory forks, hibernation and wake on request. Good for jobs that branch from one running state, or sleep between requests and must come back with processes alive.
  • Open source you can run yourself. Its Apache-2.0 core runs on your own cloud, on-prem hardware or a laptop, for teams that must keep everything in house.
  • Apps and Postgres on the same platform. Useful when the agent's sandbox, the app it ships and its database should live on one platform with one bill.

Use boat when

your agents need a whole machine: a desktop and browser they can see, Docker and emulators, SSH, a size that fits the job, and coding agents you drive by API with keys kept out of the sandbox.

  • A desktop your agent can see and use. Agents that click through real apps, or hit a login a human must solve, need a screen. On PandaStack you would build and maintain your own desktop and streaming image.
  • Agents you drive from outside, keys kept out. PandaStack's agent template installs the CLIs, but you build the harness on exec yourself, and the keys sit inside a machine the agent controls, where one prompt injection can leak them.
  • A whole workstation, sized for the job. Without /dev/kvm an agent cannot boot an emulator or a VM, and a shared preview URL that leaks in a log opens that port to anyone who reads it.

Questions people ask

Is boat cheaper than PandaStack?

boat costs less in all five scenarios, partly because every PandaStack sandbox has 8 vCPUs. A fleet of agents runs $317 a month on boat against $1,789 on PandaStack. For 1,000 short jobs at once, neither fits on a self-serve plan.

Does PandaStack have a desktop for computer use?

Not as a template. Its browser template is headless Chromium with Playwright and crawl4ai. boat gives each sandbox a full Linux desktop streamed at 60fps with computer use built in.

Can I SSH into a PandaStack sandbox?

PandaStack gives you an interactive terminal over WebSocket through its CLI, not the SSH protocol, so ssh, scp and VS Code Remote-SSH do not connect directly. boat sandboxes take standard SSH.

Can boat fork a sandbox with its memory like PandaStack?

No. boat forks a running sandbox with its disk, and the copy boots fresh. PandaStack's fork-tree copies memory too, so up to 16 children start with the parent's processes already running.

Can I self-host PandaStack or boat?

PandaStack's core is Apache-2.0 and runs on your own KVM-capable Linux hosts, in your cloud or on-prem. boat is a hosted service only, run in the EU with zero data retention.

Is boat SOC 2 compliant?

SOC 2 is in progress. We're open about where we stand: live status at status.ascii.dev and our data retention policy at docs.boat.dev/data-retention.

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