Smart autocomplete

As you type a command in any terminal tab, Rumus suggests a continuation inline. Hit → or Tab to accept it; ignore it and just keep typing if it isn’t what you wanted. It runs locally, it’s on by default, and it doesn’t get in your way.

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What it suggests

The suggestion engine pulls from a few sources, ranked by recency and relevance:

• Your shell history — commands you’ve run before in the current shell, weighted by how recently you used them.
• Filesystem context — file and directory names in your current working directory.
• Common command structure — sensible flag completions for tools the suggester recognizes.

It’s not a model call. The local engine is fast (sub-millisecond for typical inputs) and works offline.

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Accept, partial-accept, or ignore

• Accept the whole suggestion — press → or Tab.
• Accept word-by-word — some platforms support a partial-accept gesture (Alt + →); check your binding in Settings → Keyboard.
• Ignore it — keep typing. The suggestion updates as you go; if you type past it, it disappears.

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Turn it off (or tune it)

If inline suggestions clash with your muscle memory, turn them off: Settings → AI → Conversation → Smart Autocomplete — toggle it. The same section has knobs for fine-tuning suggestion frequency and aggressiveness, when applicable to your shell setup.

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How autocomplete differs from the chat agent

These are two distinct features: Autocomplete is “better tab completion.” The agent is “an AI that does things.” Use both.

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In remote (SSH) tabs

Autocomplete works the same way in remote tabs — it learns from the remote shell’s history (when shell integration is enabled, so Rumus can read it back). On a fresh SSH connection with no history yet, suggestions default to local-context fallbacks until you’ve typed a few commands.

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In broadcast mode

The multi-terminal broadcast input bar shows suggestions too. Useful when fanning a familiar command across many hosts — type a couple of characters, accept, send.

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Privacy

All autocomplete data — your shell history, the directory contents, the suggestions themselves — stays on your machine. Nothing is sent to a server or model.

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Next steps