What VPS should I use for Claude Code or other coding agents?

A 4 vCPU / 4 GB box is the sweet spot for one agent on a real project (EQVPS's AI-Agent plan); 2 GB is enough for light repos. The agent itself is light — size for your project's build and test toolchain, not the agent.

Can I run coding agents on a VPS without KYC?

Yes. Sign up with an email and pay in crypto (USDC or USDT on Base or Ethereum) — no ID, no card. Handy when you spin up throwaway boxes per agent and don't want each tied to your identity.

NAT or dedicated IP for a coding agent?

NAT is enough — a coding agent only makes outbound calls (model API, git, package registries), so port-forwarded SSH on a NAT plan covers it. Pick a dedicated IP only if you also host something inbound, like a webhook receiver or preview server.

Can an AI agent provision its own VPS?

Yes — EQVPS exposes an MCP server, so an agent can list plans, pay in crypto and spin up its own box programmatically. Details at /docs.

Why run a coding agent on a VPS instead of my laptop?

Persistence. On a server the agent keeps working when your laptop sleeps, closes or loses wifi — a long refactor or test run survives your day. It also keeps heavy installs and build clutter off your machine, and gives the agent a clean, reproducible environment to work in.

How much RAM does a coding agent need on a server?

The agent process itself is light — it calls a model over an API, so 2 GB handles the agent plus a git checkout and editors comfortably. What eats RAM is your project's own build/test toolchain (a big Node or compiler build), so size for that. 4 GB is a safe default for real projects.

How do I keep the agent running after I disconnect SSH?

Start it inside tmux (or screen). You attach, kick off the agent, detach, and close your laptop — it keeps running on the server. Reconnect later with tmux attach to see progress. For unattended scheduled runs, a systemd service or cron is cleaner.

Is it safe to give an autonomous agent shell access on a server?

Treat it like any powerful tool: run it on a dedicated VPS, not next to anything precious, use a non-root user, keep secrets in environment variables, and work in a git repo so every change is reviewable and revertible. The isolation of a separate box is exactly why a VPS is the safer place for this, not your main machine.

Does the agent need a powerful CPU?

Not for the thinking — that happens on the model provider's hardware. CPU matters only for your project's builds and tests. A 2-core box is fine for most repos; bump cores if your test suite is heavy or you run several agents at once.

Best VPS for Claude Code & Coding Agents (No-KYC, Crypto-Paid)

A coding agent on your laptop stops the moment you close the lid. Which is fine for a quick edit — and quietly frustrating the moment you want it to grind through a long refactor, churn a test suite, or keep going while you go do something else. Move it to a server and that limitation just disappears: it works while you sleep, survives your wifi dropping, and hands you the result when you're back. This covers which VPS actually fits a coding agent — Claude Code, Cursor's CLI, Cline, OpenCode or aider — what to pay, and how to keep it running, with no KYC and crypto payment.

What "on a server" actually buys you

It doesn't stop. A long task runs to completion regardless of your laptop.
Clean room. The agent gets a reproducible environment; your machine stays free of build junk and half-installed dependencies.
Isolation. An agent with shell access is powerful. Far better it has that power on a throwaway box than next to your photos and SSH keys.

That last point is underrated: a VPS is the safer home for an autonomous agent, precisely because it's separate.

Sizing it right

The agent itself is light — it calls a model over an API, so the thinking happens elsewhere (the same reason most AI agents need little RAM). What actually consumes resources is your project's toolchain: a big build, a heavy test run, a local database. So size for the project, not the agent:

2 GB / 2 cores — comfortable for the agent + a git checkout + light builds.
4 GB — a safe default for real projects with proper test suites.
More only if your build is genuinely hungry or you run several agents at once.

Which plan fits — and how you pay

For a single coding agent on a real project, the sweet spot is 4 vCPU / 4 GB — room for the agent plus your build and test suite. On EQVPS that's the AI-Agent plan ($10/mo); a 2 GB box is fine for light repos, scale up only if your tests are heavy or you run several agents at once.

Two practical calls:

NAT, not dedicated IP. A coding agent only makes outbound calls — model API, git, package registries — so a NAT plan with port-forwarded SSH is all it needs, and it's cheaper. Reach for a dedicated-IP plan only if you're also hosting something others connect to (a webhook receiver, a preview server).
No-KYC, paid in crypto. Sign up with an email and pay in USDC or USDT on Base or Ethereum — no card, no ID. Useful if you're spinning up throwaway boxes per agent and don't want each one tied to your identity. A card works too, but the on-ramp has a ~$27 minimum, so topping up a small balance once is smoother for cheap plans.

It's CPU-only and runs from a single datacenter in Germany — fine for a coding agent (the heavy thinking is on the model provider's side), worth knowing if you specifically need a GPU or another region.

Getting it running

SSH in, set up your toolchain and the agent (Claude Code, Cline's CLI, aider — whichever you use), clone your repo, and export your API key:

export ANTHROPIC_API_KEY=...    # or your provider's key
cd ~/myproject

Now the key trick — don't run it in a bare SSH session, or it dies when you disconnect. Run it inside tmux:

sudo apt install -y tmux
tmux new -s agent
# inside tmux: start your coding agent, point it at the task
# then detach with: Ctrl-b, then d

Detach, close your laptop, go to lunch. The agent keeps working on the server. Come back and tmux attach -t agent to see what it did. For scheduled, unattended runs (e.g. a nightly maintenance pass), wrap it in a systemd service instead — same pattern as keeping any process alive.

The honest caveats

Give it a sandbox, not the keys to the kingdom. Use a non-root user, keep it in a git repo (every change reviewable and revertible), and don't put production credentials on the box. Autonomy plus shell access plus carelessness is how accidents happen.
Watch your token spend. A long-running agent calling a model in a loop costs real API money — set limits and check in. The server is cheap; the inference is what adds up.
It's not magic. A background agent is great for well-scoped, verifiable tasks. Point it at something vague and unattended and you'll come back to confident nonsense. Scope tightly.

Within those rails, a coding agent on its own server is a genuinely useful pattern — your work continues whether or not you do. Spin up a 4 GB box, drop in tmux and your agent, and let it cook. The agent can even rent the server itself over MCP if you want the whole loop autonomous.