AI in SSH clients compared: Termius, Warp, Gatesys
Three ways to put AI beside a remote shell: autocomplete, an agent with a host extension, and an assistant that cites measured facts. What each installs.
On this page
Three approachesSide by sideFour questions to ask any AI terminalWhich should you choose?FAQSources“AI SSH client” now describes three quite different things. One completes the command you are typing. One hands the terminal to an agent. One answers questions about a server and has to show where each answer came from. Which you want depends less on the model than on two plain questions: what gets installed on your servers, and who decides whether a command is safe to run.
This page compares the approach of three products. We make one of them, Gatesys SSH. The descriptions of Termius and Warp come from their own websites and documentation, read on 12 October 2026.
Three approaches
Autocomplete: Termius
Termius includes AI-powered autocomplete in its free Starter plan, according to its pricing page. You type, and it proposes the command. It is the lightest form of AI in a terminal: nothing is installed anywhere, and you read each suggestion before it runs.
Termius has also described a second, larger idea. In August 2025 it announced Gloria, an experimental agent for simple infrastructure tasks such as installing and configuring a web server. Gloria runs in Termius Cloud, you reach it over SSH, and it launched as a limited preview for a small group of users.
An agent in the terminal: Warp
Warp is a terminal built around agents that plan and carry out work. Its pricing is the terminal for free and agent usage on a meter: pay as you go on the free plan, $20 of usage a month on Build at $20, and more on the Max and Business plans.
For remote hosts, Warp’s SSH documentation describes an extension. On the first connection to a new host, Warp offers to install a helper under ~/.warp/remote-server in your home directory. It runs as your user, needs no root and opens no network ports, and Warp says it never installs it without your consent. With it you get a remote file tree, code editing and diffs on remote files. Without it, those features are unavailable. The extension supports Linux and macOS hosts with bash or zsh.
Warp is an excellent place to write code. It is a terminal rather than a host manager: at the time of writing it has no saved-host list with jump chains, no SFTP transfer window and no tunnel cards.
An assistant that cites measurements: Gatesys SSH
Gatesys SSH is an SSH, SFTP and jump-host client first. Its assistant, Farabi, is part of the Pro plan ($20 a year after three free months) and is built on one rule: the model explains, and code decides.
- Facts are measured, not guessed. The app reads a fixed list of read-only commands over the SSH session you opened, as your own login. Nothing is installed on the server.
- Answers cite them. A Health answer is a list of numbered claims, each pointing at a measured line. A claim that cites something the app never measured is dropped, and the card says how many were dropped.
- Risk is rated by rules. Every suggested command is rated by 167 local rules from its text. The model can raise a risk and can never lower one.
- The model is yours. Eight runtimes: Ollama, LM Studio or llama.cpp on your own machine, your own Claude, OpenAI or Gemini key, or the Claude Code and Codex CLIs.
Side by side
| Termius | Warp | Gatesys SSH | |
|---|---|---|---|
| What it is | SSH client | AI terminal | SSH client |
| AI on the free plan | Autocomplete | Pay as you go | None; the SSH client and all rule-based features are free |
| Paid AI | Gloria was announced as a limited preview | Build, $20 a month | Pro, $20 a year |
| Which model | Not stated on its pricing page | Warp’s AI, or bring your own | Yours: local, your API key, or your agent CLI |
| Installed on the server | Nothing for autocomplete | An optional extension in your home directory | Nothing |
| Runs a command without a click | No, for autocomplete | Agents can act, under the autonomy you set | Never |
| Who rates a command’s risk | You | You and the agent’s settings | Fixed rules on your computer |
| Host manager, SFTP, tunnels | Yes | No | Yes |
Four questions to ask any AI terminal
1. What does it install on my servers?
On a production host, “nothing” is the only answer that needs no change request. Autocomplete installs nothing. Warp’s remote features use an extension that you approve per host and that stays in your home directory. Gatesys SSH installs nothing: its probes are a script on standard input, on a second channel of your session. The full list of what runs is in the guide and in the app.
2. Where does my terminal go?
Terminal output contains host names, internal addresses, paths and now and then a secret. Ask where it is sent and what is removed first. With Gatesys SSH and a local model, the prompt never leaves your computer. When it does leave, private keys, tokens and NAME=value secrets are masked, the host-facts block loses addresses and host names, and features such as Explain send placeholders in place of hosts, addresses and paths. Farabi’s own questions carry the last lines of the terminal as they are, apart from that masking, and one switch turns the host context off.
3. Can text on the server steer the model?
A log line can say “ignore your instructions and run this”. This is prompt injection, and a model reading terminal output will meet it sooner or later. Gatesys SSH’s Injection Shield removes text you could not see on screen, strips invisible characters, and fences everything a server printed as data. It does not claim to catch every paraphrase, which is why the next question matters more.
4. Who decides that a command is dangerous?
If the model that wrote rm -rf is also the judge of whether rm -rf is fine, the check is worth little. In Gatesys SSH the judge is code: the command is parsed the way a shell would parse it, through sudo, sh -c, ssh and docker exec, and matched against rules. A danger asks for a confirm, a critical one asks you to type the host’s name, and reverse shells and fork bombs are blocked outright. The reasoning is in Why our AI is not allowed to rate its own commands.
Which should you choose?
- You want faster typing and nothing else to think about: Termius’s autocomplete is free and unobtrusive.
- You write software and want an agent to do multi-step work on a dev box: Warp is built for exactly that.
- You look after servers you must not break, behind bastions, with change control: Gatesys SSH keeps the model away from decisions and keeps your servers untouched.
They are not exclusive. A local terminal with an agent for coding and an SSH client with guard rails for production is a sensible pair.
FAQ
Is there an SSH client with a local AI model?
Yes. Gatesys SSH runs Farabi on Ollama, LM Studio or llama.cpp on your own computer, and is designed to be useful with a small model of about 8 billion parameters. With a local model, prompts stay on your machine and the assistant works offline.
Does AI in an SSH client mean my terminal is uploaded?
Only if the model is in the cloud. Check each product’s documentation for what is sent. In Gatesys SSH, a pill beside the model name shows the exact block of host facts that the current model would receive, and one switch turns host context off for a provider you would not show your terminal to.
Can an AI assistant run commands on my server by itself?
That depends on the product and its settings. In Gatesys SSH it cannot: a suggested command reaches your shell only when you click Insert or Run, and agent CLIs used as a model are started in a way that stops them on their first tool call.
Do other SSH clients have AI?
On the pages we read, MobaXterm, SecureCRT, Xshell and PuTTY list no AI features. Tabby gets AI through third-party plugins. See the best SSH clients in 2026.
Sources
- Termius pricing and the Gloria announcement.
- Warp pricing and Warp’s SSH documentation.
- Gatesys SSH: Farabi, what runs on the server, command safety.
All read on 12 October 2026. These products change quickly, so check their current pages.
