CtrlOps

CtrlOps is a local-first desktop app that manages Linux servers over SSH with an approval-based AI terminal, file manager, monitoring, security audits, access reviews and one-form deployments, with no agents required.

CtrlOps is a desktop application for people who look after Linux servers and would rather not juggle a pile of terminal tabs. It connects to machines over SSH and brings the daily jobs into one window: an AI-assisted terminal, a visual file manager, live resource monitoring, security audits, access reviews and a guided deployment form. The app runs entirely on the user's computer, so SSH keys, server addresses and credentials stay on the device, and nothing needs to be installed on the servers themselves. The AI terminal accepts requests in plain English, such as freeing disk space on a named host, and proposes the shell command to do it. Every command is shown for review before it executes, which keeps a person in control, and the interface makes clear which server is the target. Saved scripts, web search and MCP server support sit alongside it. Beyond the terminal, the monitoring view shows CPU, memory, disk and network for each machine, the audit feature runs 25 checks and produces a hardening score with a PDF report, and the access feature scans a fleet to show who can log in and who holds sudo rights, with bulk removal when someone leaves. Deployment takes a GitHub repository, environment variables and a domain, then handles PM2, Nginx and SSL. The intended audience is small engineering teams, agencies and IT service companies that run many client servers, along with developers who are comfortable with Linux but want less friction, and less specialist dependence, than raw SSH provides. Because the connection is plain SSH, it works with AWS, Google Cloud, Azure, DigitalOcean or any VPS. Builds are offered for macOS (Apple Silicon and Intel) and Windows, with a Linux download also listed. Among alternatives, CtrlOps sits between traditional SSH clients such as Termius and MobaXterm and heavier cloud-based DevOps platforms. It adds AI assistance and fleet-level tooling to the client model while avoiding agents and a vendor-hosted control plane. Teams that need centralized cloud dashboards or automated CI/CD pipelines may find its scope narrower.