lk automation enable
Allow Automation Studio's "Ship it" step to run commands here.
What it does
Allow Automation Studio's "Ship it" step to run commands here.
THIS IS A DELIBERATE ACT AND IT IS NOT IMPLIED BY INSTALLING THE CLI. An Automation run's deploy step writes the exact commands; enabling this lets a run targeted at THIS device actually execute them, inside the directory you name and nowhere else. The commands come from the run's own deploy step — nothing is invented at execution time, so you can read exactly what will happen in the step above it before approving. Destructive commands (rm -rf, mkfs, shutdown, force pushes, DROP DATABASE, pipe-to-shell and friends) are refused outright.
Usage
Run lk automation enable from your terminal. Add --help to any command to see its full flag list, which is always authoritative over this page.
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lk automation enable
The CLI in depth
2:22
See automation enable used in a real session, alongside the rest of the other commands.
Related commands
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lk automation disable — Stop this machine running Automation Studio commands.
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lk automation run — Watch for Automation Studio steps aimed at this machine and run them.
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lk automation status — Show whether this machine will run Automation Studio commands.
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lk catalog — Browse the full Local Keep AI model catalogue, labelled for YOUR plan.
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lk corpus build — Harvest the cwd into a training-corpus snapshot.
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lk corpus pull — Download latest snapshot from GCS.
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lk corpus push — Upload latest local snapshot to GCS.
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lk daemon start — Start the unified remote-agent daemon.
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lk daemon status — Show daemon state + bridge health.
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lk daemon stop — Stop a running daemon (PID-file based — sends SIGTERM).
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lk ext auto-pick — Show which model Local Keep AI would auto-select based on what's installed.
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lk ext bootstrap — Auto-bootstrap every Local Keep AI feature: pull models, set default, build llama.cpp, prewarm, install optional deps, build RAG index, mirror datasets, optionally fine-tune.
Where this is defined
automation enable is declared in ai-platform/sage/core/autonomous_helpers.py. This page is generated from that source, so it cannot describe behaviour the CLI does not have.
All documentation
Installation
Install the CLI on macOS, Linux or Windows, and sign in.
Setup, start to finish
The whole path on one page: install, sign in, pick local or hosted, get an answer.
Connecting accounts
One account everywhere, registering devices for the SMS bridge, and OAuth integrations.
Models
Pull open-weight models, switch between them, and run fully local.
Using models on every client
What runs locally in a terminal, a browser tab, a phone and the desktop app.
Editor integrations
VS Code, Cursor, JetBrains, Neovim, Sublime, Zed, Godot, Unity, gh and git hooks.
The SMS bridge
Send a task to your own machine from your phone, and get the answer back.
The apps
One React Native codebase behind iPhone, Android, web and desktop — and how to run it.
Automation Studio
Idea to production: flows, per-step models, your machines or ours, live editing.
Enterprise seats
Licensed team seats under one owner account — invites, billing, and how seats resolve.
API reference
API keys, authentication, chat completions, pricing and errors — for your own software.
Notifications
Four channels, all opt-in, how to change them, and the limits on re-engagement.
Privacy
What leaves your machine, what never does, and how anonymisation works.
Troubleshooting
When a model will not load, a command hangs, or the CLI cannot be found.