Comparison

AITerm vs ngrok: which should you use for AI development?

Both solve NAT traversal. But one is a purpose-built AI terminal; the other is a generic tunnel. Here's which one fits your workflow.

TL;DR. If you want to run Claude Code, Ollama, or a shell on a remote machine and access it from your phone, AITerm is the faster path — session management, browser UI, multi-AI scanning, and team sharing are built in. If you want to expose an arbitrary local HTTP or TCP port (a dev server, a webhook receiver, an API), ngrok is the right tool. Many teams use both.

What each does

AITerm

AITerm is a multi-AI terminal SaaS. You install a lightweight open-source connector on each machine; it connects outbound to aiterm.io over WebSocket+TLS. You open any browser — including your phone — to reach a full xterm.js terminal running Claude Code, Ollama, llama.cpp, LM Studio, vLLM, GPT4All, or plain bash. Sessions persist across connector restarts. The connector is MIT-licensed.

ngrok

ngrok is a reverse-tunnel service. You install the ngrok client, run ngrok http 3000 (or similar), and ngrok hands you a public URL that tunnels traffic to your local port. Popular for demoing web apps, testing webhooks, and exposing local APIs.

How they differ in practice

 AITermngrok
Primary use caseBrowser access to AI tools & shellExposing arbitrary ports
Mobile-friendly UIYes (xterm.js touch support)Depends what you tunnel
Multi-AI scanBuilt-inN/A
Session persistencePTY manager survives connector restartsDepends on the exposed app
Team sharingView-invites + share linksPaid tiers only
Protocol exposedWebSocket over TLS, paired sessions onlyHTTP / TCP / TLS
Attack surfacePaired AI sessions onlyWhatever port you tunnel
Auth modelPer-machine token + browser sessionOAuth + optional basic auth
Free tier5 machines, 1 user, unlimited sessions1 static domain, 1 endpoint
Paid tier€9 / user / month$10 / month personal
Open sourceConnector is MITClient is source-available, not OSS
Self-hostableConnector-configurable hub_urlNo (official service only)

Security scope

The biggest practical difference is what a leaked credential gives away.

Both services use TLS. AITerm additionally pins the hub certificate (TOFU) and Ed25519-signs update manifests to prevent a compromised hub from pushing malicious code.

When to pick which

Pick AITerm if…

  • You want to code with Claude / Ollama from your phone or iPad
  • You manage several dev machines and want a single dashboard
  • You need team members to view AI sessions (pair programming)
  • You don't want to run a terminal emulator on mobile
  • You care that the client is fully auditable (MIT)

Pick ngrok if…

  • You're demoing a local web app to a client
  • You're testing webhooks against localhost
  • You need to expose a non-terminal protocol (HTTP API, MQTT, Postgres)
  • You want custom domain + edge routing
  • Your use case is generic, not AI-specific

In real teams we see both: ngrok for the web-dev side, AITerm for the AI side. They don't overlap as much as it first looks.

FAQ

Can ngrok do what AITerm does?

Technically yes — expose a port running ttyd, gotty, or similar browser-based terminal, wrap it with HTTP basic auth, and mount your AI CLIs. In practice you end up rebuilding AITerm's UI, session management, scanning, pairing, and team-sharing from scratch. Many developers try this route and switch to AITerm after their third "why can't I upload a file" moment.

Can AITerm do what ngrok does?

No. AITerm only exposes paired terminal sessions. It isn't a generic reverse proxy and intentionally won't tunnel arbitrary ports — that would widen the attack surface and blur the product.

What about security on mobile?

AITerm's browser UI works on Safari and Chrome on phones without any app install. Authentication is the same as desktop (email + password, session cookie). No SSH client needed — SSH on mobile generally requires a paid app (Termius, Blink Shell) and a painful setup.

Try AITerm — free forever for small setups

Install on any Linux or macOS machine in 30 seconds:

curl -sSL https://aiterm.io/install | bash

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