GitHub Codespaces vs Claude Managed Agents

GitHub Codespaces is a cloud dev environment: a Linux dev container per repository that a person opens in VS Code and that stops after 12 hours at most. Claude Managed Agents is Anthropic's hosted agent: you send Claude a task as events, and it works in a small container that Anthropic runs and checkpoints when idle.

The companies and products

GitHub Codespaces

GitHub Codespaces is GitHub's cloud development environment: a ready-to-code Linux machine for a repository, opened in the browser, VS Code or the GitHub CLI.

Codespaces is a different kind of product from bochka: a dev environment for people working on a GitHub repository, not a sandbox API for agents. Each codespace is a Docker container built from the repo's dev container config, running on its own newly built VM on Azure, with 2 to 32 cores. It is built for developers and teams who want every contributor to start from the same setup, with prebuilds, port forwarding and GitHub billing.

Claude Managed Agents

Claude Managed Agents is Anthropic's ready-made agent harness: Claude runs as an autonomous agent in a cloud sandbox that Anthropic manages, and you talk to it through an events API.

This is an agent platform, not a sandbox you rent. You define an agent (model, prompt, tools, MCP servers, skills) and an environment, then start sessions, send messages as events and stream back what Claude does; the harness handles tool calls, prompt caching and compaction. Each session gets its own Ubuntu container, or runs its tools on a worker you host yourself. It is built for teams that want Claude doing long tasks without building their own agent loop or sandbox.

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. “274th cheapest of 367” means 273 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 workloadGitHub Codespaces: price rankClaude Managed Agents: price rankbochka: price rank
Software factory
100 at once · 4 vCPU / 8 GB · 2,200 sessions of 8 h a month
Codespaces gives a coding agent Docker in a dev container but stops it at 12 hours, Managed Agents gives it up to 8 GB of memory with Docker only in limited availability, and bochka gives it a full VM with Docker, systemd and /dev/kvm.
274th of 367, with limits
$4,618 a month
106th of 367, with limits
$964 a month
3rd cheapest of 367
$634 a month
Always-on AI employees
50 machines 24/7 · 2 vCPU / 4 GB
An always-on assistant hits the 12-hour cap on Codespaces, while Managed Agents sessions sleep for free between messages but keep sandbox files only 30 days; a bochka sandbox keeps running and keeps its disk.
309th of 366, with limits
$6,970 a month
219th of 366, with limits
$2,511 a month
5th cheapest of 366
$657 a month
Code interpreter bursts
100 at once · 1 vCPU / 2 GB · 200,000 sessions of 1 min a month
Managed Agents bills runtime only while the agent works, which suits short bursts, while each codespace builds a dev container on a new VM first.
288th of 345, with limits
$619 a month
163rd of 345, with limits
$756 a month
186th of 345, with limits
$2,000 a month
Sandboxes for your users
300 at once · 2 vCPU / 4 GB · 30,000 sessions of 23 min a month
Neither publishes how many machines can run at once, and a Managed Agents sandbox has no inbound ports for your users to open; bochka gives each sandbox HTTPS URLs on up to 50 ports.
281st of 361, with limits
$1,964 a month
231st of 361, with limits
$823 a month
Cheapest of 361
$209 a month
RL rollouts
1,000 at once · 2 vCPU / 4 GB · 1,000,000 sessions of 3 min a month
282nd of 360, with limits
$9,489 a month
252nd of 360, with limits
$3,978 a month
34th of 360, with limits
$2,000 a month
Agent evals
250 at once · 4 vCPU / 8 GB · 15,000 sessions of 20 min a month
295th of 364, with limits
$1,519 a month
244th of 364, with limits
$320 a month
10th cheapest of 364
$200 a month
CI runners
40 at once · 8 vCPU / 16 GB · 6,000 sessions of 12 min a month
Neither can fork a warm machine: Codespaces starts each run from a repo or prebuild and Managed Agents has no fork, while bochka forks a running sandbox with its disk.
314th of 377, with limits
$909 a month
227th of 377, with limits
$96 a month
4th cheapest of 377
$86 a month
24/7 dev boxes
1 machine 24/7 · 4 vCPU / 8 GB
Codespaces is the polished VS Code box here but stops after 12 hours, Managed Agents has no SSH at all, and bochka is a full VM you SSH into that keeps running.
130th of 368, with limits
$270 a month
224th of 368, with limits
$48 a month
18th cheapest of 368
$26 a month
Computer-use agents
50 at once · 4 vCPU / 8 GB · 20,000 sessions of 15 min a month
Codespaces has an editor and no graphical desktop, Managed Agents has headless Chromium with Playwright, and bochka streams a 60fps desktop with Chromium for computer use.
267th of 369, with limits
$1,367 a month
127th of 369, with limits
$288 a month
6th cheapest of 369
$200 a month
Browser-use agents
50 at once · 2 vCPU / 4 GB · 30,000 sessions of 10 min a month
275th of 367, with limits
$678 a month
126th of 367, with limits
$288 a month
7th cheapest of 367
$200 a month
Scraping & bots (startup scale)
50 at once · 1 vCPU / 2 GB · 100,000 sessions of 3 min a month
310th of 346, with limits
$922 a month
127th of 346, with limits
$390 a month
6th cheapest of 346
$90 a month
Mass scraping & bots (undetectable)
1,000 at once · 1 vCPU / 2 GB · 3,000,000 sessions of 2 min a month
280th of 338, with limits
$18,637 a month
155th of 338, with limits
$4,798 a month
71st of 338, with limits
$1,800 a month
Parallel red teaming
200 at once · 2 vCPU / 4 GB · 5,000 sessions of 30 min a month
bochka can fork one prepared machine into many while it runs; on Codespaces every copy is created again from the repository, and Managed Agents has no fork.
267th of 360, with limits
$445 a month
179th of 360, with limits
$160 a month
2nd cheapest of 360
$200 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 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 itCan't run it

Key features

FeatureGitHub CodespacesClaude Managed Agentsbochka
What it isA cloud dev environment per GitHub repository, opened in VS Code, the browser or the GitHub CLIA hosted Claude agent: Anthropic's harness runs Claude in a sandbox and you send it eventsA sandbox platform: each agent gets its own full Linux VM, with coding agents built in
IsolationA Docker container on its own newly built VM, with its own virtual networkAn isolated Linux container per sessionEvery sandbox is a full VM with its own kernel, on dedicated AMD Ryzen 9 9950X hosts
Machine size2, 4, 8, 16 or 32 cores, with 4 GB of memory per coreUp to 8 GB memory and 10 GB disk; vCPU count not published; not configurableUp to 16 vCPU / 32 GB on the $100 plan and above
How long it runsStops after 30 idle minutes by default (up to 240) and after 12 hours at most, even while in useNo session cap published; an idle session is checkpointed and resumes on the next messageRuns until you stop it; no session cap on paid plans
Docker, systemd and /dev/kvmDocker and sudo inside the dev container; /dev/kvm and nested virtualization not documentedDocker listed as limited availability; root, systemd and /dev/kvm not documentedRoot, Docker, systemd and /dev/kvm on every machine
Files after a stopSaved files kept and storage billed; stopped codespaces deleted after 30 days by defaultCheckpointed when idle; sandbox state kept only 30 days after the sandbox is createdDisk snapshotted every minute and on stop; a stopped sandbox keeps its disk and costs nothing
Fork and snapshotsNo copy or snapshot endpoint; new codespaces start from a repo, branch, pull request or prebuildNo fork or clone of a session or sandboxFork a running sandbox with its files; named snapshots as templates
AgentsGitHub Copilot as a VS Code extension; other agents you install and run yourselfAnthropic's harness with Claude models only, with steering, memory stores, multiagent threads and webhooksClaude Code, Codex, OpenCode and more preinstalled, driven from outside with a prompt, steer and events API
Reaching the sandboxA URL per forwarded port, plus SSH and CLI tunnels; no public IPNo inbound ports or SSH; reached only through the sessions and events APIHTTPS URLs for up to 50 ports, token-protected; raw TCP; SSH; dedicated IPv6 or IPv4
Browser and desktopVS Code in the browser, JupyterLab and a terminal; no graphical desktopHeadless Chromium with Playwright; no desktop or computer-use tool60fps Linux desktop with Chromium, computer use and browser control
Keeping keys out of the sandboxSecrets are copied into the codespace as environment variablesVault secrets sit in the sandbox as placeholders and are swapped in at egress, per hostAI credentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out
Outbound rulesOpen internet; GitHub says there is no way to restrict itUnrestricted, or limited to listed hosts plus optional package registries and MCP serversOpen internet on every plan; no provider-side allowlist
Starting pointDev container config in the repository, with prebuilds built by GitHub ActionsAn environment definition, or tools run on a worker you host yourselfNamed snapshots (templates), shareable by code; no Dockerfile builds
RegionsUS East, US West, Europe West and Southeast AsiaUS workspace geo only; inference can be global or USEU only: Germany, Finland, France
Every feature Battleships tracks (43)
FeatureGitHub CodespacesClaude Managed Agentsbochka
Full VM (own kernel)YesNoYes
Docker insideYesNot publishedYes
Nested virtualizationNoNoYes
RootYesNot publishedYes
SystemdNot publishedNot publishedYes
Desktop GUINoNoYes
BrowserNoYesYes
Computer-use APINoNoYes
SSHYesNoYes
Persistent diskYesYesYes
Pause/resumeYesYesYes
Automatic snapshotsNoYesYes
Fork/cloneNoNoYes
Live fork (no pause)NoNoYes
Memory forkNoNoNo
Custom image (Docker or snapshot)YesYesYes
≥24 h sessionsNoYesYes
Idle auto-stopYesYesNo
Wake on requestNoYesNo
HTTPS preview URLsYesNoYes
Raw TCP inboundNoNoYes
Public IPv4NoNoNo
Egress allowlistNoYesNo
Secret proxyNoYesYes
Secret proxy for any APINoYesYes
Preinstalled agentsNoYesYes
Agent harness APINoYesYes
MCP serverNoYesNo
GPUNoNoNo
WindowsNoNoNo
Arm64NoNoNo
Self-hostingNoYesNo
BYOCNoYesNo
Open sourceNoNoNo
Scoped API keysNot publishedNot publishedYes
Spend limitsYesYesYes
Usage per sandbox (API)NoYesYes
Audit logsYesNot publishedNo
SSOYesYesNo
SOC 2YesYesNo
HIPAANoNoNo
EU data residencyYesNoYes
Zero data retentionNot publishedNoYes

Performance

GitHub CodespacesNot measured
Claude Managed AgentsNot measured
bochka26.69 runs/s

There is no comparable CPU measurement for GitHub Codespaces or Claude Managed Agents: neither was in the public benchmark runs we use, and Anthropic does not publish how many vCPUs a sandbox gets. bochka did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB in StarSling's run of 2026-09-29, on dedicated AMD Ryzen 9 9950X hosts.

Node.js build-and-test loop at 4 vCPU / 8 GB, higher is better. Measured with the open hpc-sandbox-benchmarks suite. GitHub Codespaces and Claude Managed Agents have 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.

ScenarioGitHub Codespaces, a monthClaude Managed Agents, a monthbochka, 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
$51 · Personal account: GitHub Free$13 · Claude API (pay-as-you-go, usage tiers) · with limits$20 · $20/mo
One agent that never stops
4 vCPU / 8 GB, 50 GB disk, running 24/7 all month
$270 · Personal account: GitHub Free · with limits$53 · Claude API (pay-as-you-go, usage tiers) · with limits$26 · $20/mo
50 agents in parallel
50 machines of 4 vCPU / 8 GB at once, 8-hour sessions, 1,100 sessions a month, Docker inside
$3,019 · Personal account: GitHub Free$634 · Claude API (pay-as-you-go, usage tiers) · with limits$317 · $20/mo × 3 seats
Sandboxes for your users
2 vCPU / 4 GB, 30,000 sessions of 10 minutes a month, up to 300 at once
$850 · Personal account: GitHub Free · with limits$360 · Claude API (pay-as-you-go, usage tiers) · with limits$200 · $100/mo × 2 seats
1,000 short jobs at once
2 vCPU / 4 GB, 1,000 at once, 3 minutes each, 200,000 jobs a month
$1,889 · Personal account: GitHub Free · with limits$796 · Claude API (pay-as-you-go, usage tiers) · with limits$2,000 · $2000/mo · with limits

GitHub Codespaces: Codespaces bills $0.09 per core-hour for the whole time a codespace is active, plus $0.07 per GB-month of storage while it exists, stopped too. Personal accounts get a free monthly quota; organizations do not, and a 4 vCPU / 8 GB job is priced on the 4-core 16 GB machine.

Claude Managed Agents: Managed Agents bills model tokens at API rates plus a flat session runtime fee, measured only while the session is running, including time waiting on the model. The tables show runtime only; tokens come on top and usually cost more.

Claude Managed Agents: Plans start at $20 a month, and the whole fee is usage credit spent per second on running sandboxes. A stopped sandbox costs nothing and keeps its disk; model tokens are paid to your model provider.

Limits in those scenarios

Every codespace stops after 12 hours at most, so it does not fit the always-on scenario without a restart script, and GitHub does not publish how many can run at once, so 300 user sandboxes and 1,000 short jobs show as not confirmed. Managed Agents is a different kind of product with an unpublished machine size, up to 8 GB of memory and Docker in limited availability, so no scenario counts as a clean fit, and usage-tier spend caps pause all API use when reached. bochka fits every scenario except 1,000 short jobs at once, where the $2,000 plan queues starts above 90 per minute and allows 2,400 starts a day.

ScenarioGitHub CodespacesClaude Managed Agentsbochka
One coding agent, workdaysNone that bite
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • machine size per session not published
None that bite
One agent that never stops
  • Personal account: GitHub Free: sessions capped at 12 h
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • machine size per session not published
None that bite
50 agents in parallel
  • how many machines can run at once: limit not published, probably fine at 50 (the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • not confirmed: Docker inside
  • machine size not published
  • different kind of product: agent-platform
None that bite
Sandboxes for your users
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • not confirmed: how many machines can run at once (you need 300; the typical published limit is 50)
None that bite
1,000 short jobs at once
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • adjacent product, not a like-for-like sandbox
  • machine size not published
  • different kind of product: agent-platform
  • not confirmed: how many machines can run at once (you need 1,000; the typical published limit is 50)
  • 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)

Which one should you use?

Use GitHub Codespaces when

your developers want a ready VS Code environment for a GitHub repository, opened from a branch or pull request, on machines up to 32 cores, in the US, EU or Asia.

  • Built into GitHub. Useful if your team lives on GitHub: open a ready dev container from any repo, branch or pull request.
  • Bigger machines you choose. Useful for heavy builds: pick 2 to 32 cores with 4 GB of memory per core, where Managed Agents caps at 8 GB.
  • Regions in the US, EU and Asia. Useful if your developers are spread out: codespaces run in US East, US West, Europe West and Southeast Asia.

Use Claude Managed Agents when

you want Claude itself to do long, mostly text and code tasks with no harness to build, idle time that costs nothing, and host allowlists or your own workers.

  • No agent loop to build. Teams that want Claude doing long tasks get the harness, caching, compaction, memory and webhooks ready to use.
  • Idle sessions sleep for free. Agents that wait a long time between messages pay runtime only while working, and resume on the next message.
  • Host allowlists and your own workers. Teams with strict network rules can limit sandboxes to listed hosts, or run every tool call on their own workers.

Where bochka fits

If what you are really running is agents, Codespaces is a dev box built for a person in an editor, and Managed Agents is one company's agent in a small container. bochka gives each agent a full VM that keeps running, keeps its disk, opens ports and runs whichever coding agent you pick, driven from your own code.

A full VM that keeps running

A codespace stops at 12 hours even while in use, so a long agent task needs a restart script and loses its processes. A Managed Agents sandbox has up to 8 GB of memory, limited Docker and state that expires after 30 days.

Open what the agent builds

Managed Agents has no inbound ports or SSH, so a dev server the agent starts must be copied elsewhere to try. Codespaces forwards ports but has no desktop or public IP. bochka has 50 HTTPS ports, raw TCP and a 60fps desktop.

Any agent, driven from outside

Managed Agents runs only Anthropic's harness, so Claude Code or Codex must run elsewhere. On Codespaces you install agents yourself, prompt them over SSH and put keys in environment variables. bochka preinstalls them, keeps keys in a proxy and forks running machines.

Use bochka when your code starts and drives agents that need a real machine: Docker and /dev/kvm, a desktop, open ports, a disk that lasts, forks of running machines, and the choice of Claude Code, Codex or other agents. Compare it one to one: bochka vs GitHub Codespaces and bochka vs Claude Managed Agents.

Questions people ask

Is GitHub Codespaces cheaper than Claude Managed Agents?

For machine time alone, Managed Agents runtime costs less in every scenario we priced: one agent running all month is $53 against $270, and 50 agents in parallel are $634 against $3,019. But Managed Agents also bills model tokens on top, which usually cost more than the runtime. bochka comes in at $26 and $317 for the same two scenarios.

Which is faster, GitHub Codespaces or Claude Managed Agents?

Neither has a comparable CPU measurement, and Anthropic does not publish a sandbox's vCPU count. bochka did 26.69 Node.js build-and-test runs per second at 4 vCPU / 8 GB. On Managed Agents, much of a session's time is often spent waiting on the model rather than the CPU.

Can I run Claude Code on either one?

On Codespaces you can install Claude Code yourself and run it in the terminal, with your key as a secret in an environment variable. Managed Agents runs Anthropic's own harness, not Claude Code. bochka ships Claude Code, Codex, OpenCode and others preinstalled, with keys kept outside the sandbox.

Can they run Docker?

Docker works inside a codespace through dev container features, and you have sudo. Managed Agents lists Docker only as limited availability. Neither documents /dev/kvm, while every bochka machine has Docker, systemd and /dev/kvm.

Can an agent run 24/7 on them?

A codespace stops after 12 hours at most, even while in use, so it needs restarts. A Managed Agents session sleeps when idle and wakes on the next message, but sandbox state is kept only 30 days after creation. A bochka sandbox runs until you stop it, with no session cap on paid plans.

Is bochka SOC 2 compliant?

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

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