rssh

RSSH is a cross‑platform SSH client that adds a layer of structure to an otherwise plain terminal. It runs on macOS, Windows, Linux, Android, iOS and HarmonyOS devices, and there are separate downloads for each operating system.

The core idea is to remember the actions you take during a session. Every command you run is wrapped in a colored block; these blocks can be folded or unfolded to keep long scroll‑backs readable. The client also offers a built‑in SFTP file browser, three‑way port forwarding, session recording in asciicast v2 format, and keyword‑based highlighting that works across the entire scroll‑back history. When you need to run the same command on several hosts, the “broadcast” feature lets you issue a single prompt that executes in all connected sessions.

RSSH supports live discovery of containers and Kubernetes pods. Docker containers and pods that appear on the local machine are automatically listed, and a single click can open an exec terminal inside the container without requiring a static address or manual bookmark. The desktop workbench and a bundled command‑line interface share a single SQLite database, so profiles, keys and settings are available in both modes. The CLI can be used in pipelines, scripts or continuous‑integration workflows.

A key selling point for many users is the AI triage. When you type a question such as “why is cpu high?”, RSSH sends the current terminal transcript to a locally run or user‑provided AI provider. The assistant proposes the next command but does not execute it until you approve. All sensitive output is redacted before the request leaves the machine, and secrets never leave the user's operating system keychain. Configuration profiles are encrypted client‑side and stored in a private GitHub repository or a WebDAV endpoint, no third‑party cloud server is involved.

RSSH works as a standard SSH client, so it does not require any agent or wrapper on the remote servers. Existing `~/.ssh/config` files are imported automatically on first launch. The available features adapt to the device: on desktop operating systems the interface shows a data‑intensive layout, while on mobile devices the interface is compact and respects the narrow window width.

Key features

• Color‑coded, foldable command blocks for easier scroll‑back review
• AI triage that proposes contextual commands after redacting sensitive data