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 boat: 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 workload | GitHub Codespaces: price rank | Claude Managed Agents: price rank | boat: 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 boat 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 boat 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; boat 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 boat 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 boat 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 boat 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 boat 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 it | Can't run it | Can't run it |
| macOS agents 5 at once · 4 vCPU / 8 GB · 1,000 sessions of 20 min a month | Can't run it | Can't run it | Can't run it |
Key features
| Feature | GitHub Codespaces | Claude Managed Agents | boat |
|---|---|---|---|
| What it is | A cloud dev environment per GitHub repository, opened in VS Code, the browser or the GitHub CLI | A hosted Claude agent: Anthropic's harness runs Claude in a sandbox and you send it events | A sandbox platform: each agent gets its own full Linux VM, with coding agents built in |
| Isolation | A Docker container on its own newly built VM, with its own virtual network | An isolated Linux container per session | Every sandbox is a full VM with its own kernel, on dedicated AMD Ryzen 9 9950X hosts |
| Machine size | 2, 4, 8, 16 or 32 cores, with 4 GB of memory per core | Up to 8 GB memory and 10 GB disk; vCPU count not published; not configurable | Up to 16 vCPU / 32 GB on the $100 plan and above |
| How long it runs | Stops after 30 idle minutes by default (up to 240) and after 12 hours at most, even while in use | No session cap published; an idle session is checkpointed and resumes on the next message | Runs until you stop it; no session cap on paid plans |
| Docker, systemd and /dev/kvm | Docker and sudo inside the dev container; /dev/kvm and nested virtualization not documented | Docker listed as limited availability; root, systemd and /dev/kvm not documented | Root, Docker, systemd and /dev/kvm on every machine |
| Files after a stop | Saved files kept and storage billed; stopped codespaces deleted after 30 days by default | Checkpointed when idle; sandbox state kept only 30 days after the sandbox is created | Disk snapshotted every minute and on stop; a stopped sandbox keeps its disk and costs nothing |
| Fork and snapshots | No copy or snapshot endpoint; new codespaces start from a repo, branch, pull request or prebuild | No fork or clone of a session or sandbox | Fork a running sandbox with its files; named snapshots as templates |
| Agents | GitHub Copilot as a VS Code extension; other agents you install and run yourself | Anthropic's harness with Claude models only, with steering, memory stores, multiagent threads and webhooks | Claude Code, Codex, OpenCode and more preinstalled, driven from outside with a prompt, steer and events API |
| Reaching the sandbox | A URL per forwarded port, plus SSH and CLI tunnels; no public IP | No inbound ports or SSH; reached only through the sessions and events API | HTTPS URLs for up to 50 ports, token-protected; raw TCP; SSH; dedicated IPv6 or IPv4 |
| Browser and desktop | VS Code in the browser, JupyterLab and a terminal; no graphical desktop | Headless Chromium with Playwright; no desktop or computer-use tool | 60fps Linux desktop with Chromium, computer use and browser control |
| Keeping keys out of the sandbox | Secrets are copied into the codespace as environment variables | Vault secrets sit in the sandbox as placeholders and are swapped in at egress, per host | AI credentials proxy for model providers and any HTTPS API; switch a credential to another account when credits run out |
| Outbound rules | Open internet; GitHub says there is no way to restrict it | Unrestricted, or limited to listed hosts plus optional package registries and MCP servers | Open internet on every plan; no provider-side allowlist |
| Starting point | Dev container config in the repository, with prebuilds built by GitHub Actions | An environment definition, or tools run on a worker you host yourself | Named snapshots (templates), shareable by code; no Dockerfile builds |
| Regions | US East, US West, Europe West and Southeast Asia | US workspace geo only; inference can be global or US | EU only: Germany, Finland, France |
Every feature Battleships tracks (43)
| Feature | GitHub Codespaces | Claude Managed Agents | boat |
|---|---|---|---|
| Full VM (own kernel) | Yes | No | Yes |
| Docker inside | Yes | Not published | Yes |
| Nested virtualization | No | No | Yes |
| Root | Yes | Not published | Yes |
| Systemd | Not published | Not published | Yes |
| Desktop GUI | No | No | Yes |
| Browser | No | Yes | Yes |
| Computer-use API | No | No | Yes |
| SSH | Yes | No | Yes |
| Persistent disk | Yes | Yes | Yes |
| Pause/resume | Yes | Yes | Yes |
| Automatic snapshots | No | Yes | Yes |
| Fork/clone | No | No | Yes |
| Live fork (no pause) | No | No | Yes |
| Memory fork | No | No | No |
| Custom image (Docker or snapshot) | Yes | Yes | Yes |
| ≥24 h sessions | No | Yes | Yes |
| Idle auto-stop | Yes | Yes | No |
| Wake on request | No | Yes | No |
| HTTPS preview URLs | Yes | No | Yes |
| Raw TCP inbound | No | No | Yes |
| Public IPv4 | No | No | No |
| Egress allowlist | No | Yes | No |
| Secret proxy | No | Yes | Yes |
| Secret proxy for any API | No | Yes | Yes |
| Preinstalled agents | No | Yes | Yes |
| Agent harness API | No | Yes | Yes |
| MCP server | No | Yes | No |
| GPU | No | No | No |
| Windows | No | No | No |
| Arm64 | No | No | No |
| Self-hosting | No | Yes | No |
| BYOC | No | Yes | No |
| Open source | No | No | No |
| Scoped API keys | Not published | Not published | Yes |
| Spend limits | Yes | Yes | Yes |
| Usage per sandbox (API) | No | Yes | Yes |
| Audit logs | Yes | Not published | No |
| SSO | Yes | Yes | No |
| SOC 2 | Yes | Yes | No |
| HIPAA | No | No | No |
| EU data residency | Yes | No | Yes |
| Zero data retention | Not published | No | Yes |
Performance
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. boat 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.
| Scenario | GitHub Codespaces, a month | Claude Managed Agents, a month | boat, 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. boat 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.
| Scenario | GitHub Codespaces | Claude Managed Agents | boat |
|---|---|---|---|
| One coding agent, workdays | None that bite |
| None that bite |
| One agent that never stops |
|
| None that bite |
| 50 agents in parallel |
|
| None that bite |
| Sandboxes for your users |
|
| None that bite |
| 1,000 short jobs at once |
|
|
|
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 boat 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. boat 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. boat 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. boat preinstalls them, keeps keys in a proxy and forks running machines.
Use boat 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: boat vs GitHub Codespaces and boat 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. boat 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. boat 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. boat 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 boat 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 boat sandbox runs until you stop it, with no session cap on paid plans.
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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