Ts-SSH – SSH over Tailscale without running the daemon
ts-ssh solves a specific problem: accessing machines on your Tailnet from environments where you can't install the full Tailscale daemon (like CI/CD runners or restricted systems). It uses Tailscale's tsnet library to establish userspace connectivity, then provides a standard SSH experience. Works with existing workflows since it supports normal SSH features like ProxyCommand, key auth, and terminal handling. Some features that proved useful: • Parallel command execution across multiple hosts • Built-in tmux session management for multi-host work • SCP-style file transfers • Works on…
In plain words
ts-ssh enables SSH access to machines on a Tailnet in restricted environments where installing the full Tailscale daemon is not possible, such as CI/CD runners or locked-down systems. It uses Tailscale's tsnet library to create userspace connectivity while providing standard SSH functionality like ProxyCommand and key authentication. The tool supports parallel command execution across multiple hosts, built-in tmux session management, SCP-style file transfers, and runs on Linux, macOS, and Windows across AMD64 and ARM64 architectures.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
ts-ssh solves a specific problem: accessing machines on your Tailnet from environments where you can't install the full Tailscale daemon (like CI/CD runners or restricted systems). It uses Tailscale's tsnet library to establish userspace connectivity, then provides a standard SSH experience. Works with existing workflows since it supports normal SSH features like ProxyCommand, key auth, and terminal handling. Some features that proved useful: • Parallel command execution across multiple hosts • Built-in tmux session management for multi-host work • SCP-style file transfers • Works on Linux/macOS/Windows (AMD64 and ARM64) The codebase is interesting from a development perspective - it was written almost entirely using AI tools (mainly Claude Code, with some OpenAI and Jules). Not as an experiment, but because it actually worked well for this kind of systems programming. Happy to discuss the workflow if anyone's curious about that aspect. Source and binaries are on GitHub. Would appreciate feedback from anyone dealing with similar connectivity challenges.
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