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Moshi is a mobile terminal for iPhone, iPad, and Android. Its core idea is not to provide a cloud IDE, but to connect to a Mac, Linux machine, VPS, or homelab host that the user already controls. It is designed for remotely running and monitoring AI coding agents such as Claude Code, Codex, OpenCode, Gemini, Cursor, Kimi, and Qwen, while also working as a regular SSH/Mosh terminal.
The product is centered on long-running mobile sessions. It recommends installing mosh and tmux on the host so sessions can survive device sleep, network changes, and app termination. It has deep support for tmux, Zellij, and Herdr, offering shortcut panels, window switching, gestures, and hardware keyboard shortcuts. For AI agent workflows, Moshi provides features such as Inbox, Live Activity, Dynamic Island, Apple Watch approvals, usage and context budget tracking, a Diff Viewer, browser preview, and webhook push notifications. The input experience is also fairly complete, with support for pasting images/files, screenshot annotation, CJK input, OSC 52 remote clipboard, and four types of speech transcription: Parakeet, Apple, Whisper, and cloud-based transcription.
The main materials show Moshi as offering Free and Pro tiers. Pro includes more personalization options and a larger cloud transcription quota, but specific pricing and payment methods are not disclosed. Moshi explicitly does not host user code, nor does it replace agent CLIs. Repositories, SSH configuration, git credentials, agent subscriptions, and compute all remain on the user’s own host. Tailscale can be used to access hosts without a public IP address, but Moshi itself does not include built-in Tailscale integration; it simply uses the tunnel available at the system level.
Its main advantage is clear positioning: rather than shrinking a desktop terminal onto a phone, it rebuilds the keyboard, gestures, notifications, image input, and voice input for mobile scenarios. Its integration with tmux and agent CLIs is deeper than that of general-purpose SSH clients. The documentation is also quite comprehensive, covering connection setup, input, integrations, and troubleshooting. The downsides are that getting started requires some familiarity with SSH, Mosh, tmux, Tailscale, and related tools; the best experience also requires installing moshi-hook. Pricing information is insufficient, and details of the cloud transcription quota are not provided.
Moshi is best suited to developers who already have a remote development host, frequently use AI coding agents, and want to handle approvals, review diffs, or add prompts while commuting, traveling, or away from their computer. If you only need occasional SSH access, general-purpose terminals such as Blink, Termius, or Prompt may be simpler. The source material does not provide information on access from mainland China. App Store, Google Play, Tailscale, some cloud transcription services, and overseas agent services may involve uncertainty around network access and payments, so hands-on testing is recommended.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on getmoshi.app official site.
getmoshi.app is an Unknown AI Apps provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach getmoshi.app directly.