Does anything get installed on my servers?

No. Cloud Agent is a desktop app that runs on your own machine and reaches your servers over the SSH access you already have. There is no agent to deploy, nothing to keep updated on the server side, and no inbound port to open.

Can it run any command it likes?

No. There is no open shell. Every command is checked against an allowlist before it runs, so the model cannot invent one, and anything that changes state stops and waits for your explicit approval with the exact command shown.

Does the AI see my passwords and keys?

No. Secrets and key material are masked out of command output before it reaches the model, not after. What the AI sees never contains them.

The download is Windows only - can it still manage Linux servers?

Yes. The desktop app runs on Windows 10 or later; the servers it manages can be Linux or Windows. It detects the operating system when it connects, so a Linux box and a Windows one are handled the same way.

How is this different from a monitoring tool?

Monitoring tells you a threshold was crossed. An AI DevOps agent goes and looks: it runs the diagnostics you would have run, reads the output, and tells you what is actually wrong - then proposes the fix and waits for you to approve it. It is the step after the alert, not the alert itself.

What does it cost to try?

Nothing. You get 300 free credits on signup, no card required. Read-only diagnostics are the cheapest thing it does, so the free credits go a long way while you are judging it.

Cloud Agent: AI DevOps Agent

An AI DevOps agent for your servers. You approve every change.

A desktop agent that connects to your Linux and Windows servers over the SSH you already have, runs the diagnostics itself, and tells you in plain English what it actually found. Nothing changes until you say so.

Download for Windows (free) Pricing and docs

300 free credits on signup
No card needed
Nothing installed on your servers
Windows 10 or later

the app server feels slow - what is eating the disk?

Listed servers
Checked server health
Inspected disk usage

Load and memory are fine - load average 0.31, about 10 GiB free plus cache, no swap pressure.

The pressure is on /mnt/storage, at 80% with 5.6 GiB free. It filled during a burst of image uploads in August and has been quiet since.

There is no cruft to clear here: the lever is archiving old attachments to object storage. Want me to check what produced the burst, or set an alert if it climbs past 85% again?

Every figure comes from a command that actually ran on the server. Nothing above is inferred, and nothing on the machine changed to produce it.

Diagnose without the SSH archaeology

It connects, runs read-only checks across the box, and explains what it found in plain English - grounded in real command output, never guessed.

One agent for the whole stack

Linux and Windows servers, Docker and Compose, Nginx, IIS, Tomcat, systemd, Jenkins, AWS, MySQL and PostgreSQL - without remembering the syntax for each.

Safe enough for production

No open shell, an allowlist on every command, secrets masked before the model sees them, and your explicit approval before anything changes.

Most infrastructure work is not hard, just slow. Somebody SSHes into a box, tails a log, remembers the right docker command, checks whether Nginx reloaded cleanly, then writes it all up for whoever asks next. Cloud Agent does that part. You describe the problem in plain English; it connects to the server, runs read-only diagnostics, and tells you what it actually found, grounded in real command output, never guessed.

It manages Linux and Windows servers over SSH, Docker and Compose stacks, Nginx, IIS and Tomcat, systemd services, Jenkins pipelines, AWS resources, and MySQL and PostgreSQL databases. It can run your registered deployment scripts, transfer and edit files, and write a report of everything it did, with each step traceable back to the command that produced it.

The safety model is the point. There is no open shell: every command is checked against an allowlist before it runs, secrets and key material are masked out of everything the AI ever sees, and any action that changes state (a restart, a deletion, a config edit, an AWS change) stops and waits for your explicit approval. Every step is written to an audit trail you can read afterwards. It is an agent with its hands where you can see them, which is the only version of this we would put near production.

Common questions

Does anything get installed on my servers?: No. Cloud Agent is a desktop app that runs on your own machine and reaches your servers over the SSH access you already have. There is no agent to deploy, nothing to keep updated on the server side, and no inbound port to open.
Can it run any command it likes?: No. There is no open shell. Every command is checked against an allowlist before it runs, so the model cannot invent one, and anything that changes state stops and waits for your explicit approval with the exact command shown.
Does the AI see my passwords and keys?: No. Secrets and key material are masked out of command output before it reaches the model, not after. What the AI sees never contains them.
The download is Windows only - can it still manage Linux servers?: Yes. The desktop app runs on Windows 10 or later; the servers it manages can be Linux or Windows. It detects the operating system when it connects, so a Linux box and a Windows one are handled the same way.
How is this different from a monitoring tool?: Monitoring tells you a threshold was crossed. An AI DevOps agent goes and looks: it runs the diagnostics you would have run, reads the output, and tells you what is actually wrong - then proposes the fix and waits for you to approve it. It is the step after the alert, not the alert itself.
What does it cost to try?: Nothing. You get 300 free credits on signup, no card required. Read-only diagnostics are the cheapest thing it does, so the free credits go a long way while you are judging it.

What's included

Plain-English diagnostics across Linux and Windows servers
Docker, Compose, Nginx, IIS, Tomcat and systemd service management
AWS (EC2, S3) and Jenkins pipeline operations
MySQL and PostgreSQL querying with a read-safety guard
Automated project discovery and infrastructure documentation
Approval required before any state-changing action
Command allowlisting, secret masking, and a complete audit trail

Download for Windows Talk to an engineer

Before you install

Windows 10 or later
About 400 MB of disk
The SSH access you already have
No inbound port opened on your servers

Nothing changes without you

The safety model is the product, not a setting. It is why this is something we would put near production at all.

No open shell

There is no free-form command execution. Every command is checked against an allowlist before it runs, so the model cannot invent one.

Approval before any change

A restart, a deletion, a config edit, an AWS change - it stops, shows you the exact command and what it will affect, and waits.

Secrets never reach the model

Keys, passwords and credentials are masked out of command output before the AI ever sees it, not after.

A full audit trail

Every step is written down and every claim traces back to the command that produced it. You can read afterwards exactly what happened.

What it manages

Servers

Linux over SSH
Windows Server
systemd services
File transfer and editing

Containers and web

Docker and Compose
Nginx
IIS
Apache Tomcat

Cloud and CI

AWS EC2 and S3
Jenkins pipelines
Your deployment scripts

Databases

MySQL
PostgreSQL
Read-safety guard on every query

Explore Cloud Agent

The product site has the detail: how each part works, the setup guide, and what it costs.

The product

What it can do

Try it against something that is actually broken

That is the fastest way to judge it. Install it on your own machine, point it at a server you already have access to, and ask it a real question. Read-only diagnostics cost you nothing but the free credits you start with.