Location Features

The blue dot on a map looks simple. It is not. That little dot is a trust contract between you, your device, your operating system, and anything you let consume the signal.

OpenClaw location features work best when you keep that contract narrow. Use them for useful context and small automations, not for playing surveillance engineer in your own life.

What location features are for

Think of location in OpenClaw like a porch light with a motion sensor. It should wake up when something meaningful changes, do one useful thing, then go quiet again.

That fits the current OpenClaw direction well. The docs describe location as a node capability for paired devices, especially iOS and Android companion nodes, with movement-aware automation use cases such as arrival, exit geofences, significant movement, and visit detection.

In other words, this is not mainly about watching a moving dot on a dashboard. It is about giving your agent enough context to react at the right moment.

What the current docs say

• Location is off by default.
• Per-device settings use a mode selector such as off or while using.
• Precise location is a separate toggle.
• Android currently supports foreground location only for direct requests like location.get.
• The documented intent is automation signals, not constant GPS polling to keep the app alive.

That last point matters. The shortest path to a creepy setup is pretending every capability should run all the time. OpenClaw is pointing the other way.

What you can build with it

Good location workflows are small and specific. A few examples:

• Arrival automations: When you reach the office, OpenClaw can prepare a status summary or open your morning canvas.
• Departure automations: When you leave a place, it can send a reminder, save a note, or switch your interaction style.
• Movement-aware nudges: If the phone detects significant movement, the agent can hold non-urgent work until you stop moving.
• Context-aware responses: If you ask for nearby context while the node is active, OpenClaw can answer with your current position as one more signal.

FedEx changed customer expectations years ago by turning package location into event-based updates rather than endless manual check-ins. That is the right mental model here. The value is not raw coordinates. The value is knowing when something changed enough to matter.

How location works at a technical level

The documented command is location.get, called through the node command surface. That means your paired device shares location through a node capability rather than through a messaging channel directly.

If you want the CLI shape, it looks like this:

openclaw nodes location get --node <id>

The documented payload for a live request includes fields like latitude, longitude, accuracy, speed, heading, timestamp, and whether the reading is precise.

{
  "lat": 48.20849,
  "lon": 16.37208,
  "accuracyMeters": 12.5,
  "timestamp": "2026-01-03T12:34:56.000Z",
  "isPrecise": true,
  "source": "gps"
}

You can also see the shape of the control model in the docs:

location:
  enabledMode: whileUsing
  preciseEnabled: false

That is a healthy design. It keeps the system honest about two separate questions: should location be available at all, and if yes, how exact should it be?

Precise vs approximate location

Do not default to precise just because you can. Exactness is not free. More precision means more sensitive data, tighter expectations, and more ways to get annoyed when the reading is wrong by a few meters.

• Use approximate location for city-level context, general presence, or broad automation zones.
• Use precise location for arrival logic, tight geofences, or workflows where a small radius matters.

GPS followed the same pattern as many military technologies before it became boring civilian infrastructure. First it was impressive that the signal existed at all. Then the real question became who gets to use it, how exactly, and under what rules. Location in OpenClaw has reached that second stage already.

Platform limits you should respect

Current OpenClaw documentation is refreshingly blunt here.

• iOS app: Internal preview, exposes location as a node capability alongside camera, canvas, and talk features.
• Android app: Not publicly released yet, and direct location.get is documented as foreground-only. If the app is backgrounded, expect a background-unavailable error for direct reads.
• Automation goal: Use motion, visit, or geofence events as signals. Do not treat the feature as a keep-awake hack.

That last sentence is the difference between a product feature and a battery-draining science project.

Privacy rules that make this sane

The cleanest rule is simple: location should answer a question, not create a dossier.

• Enable it only on devices that actually need it
• Start with whileUsing, not broad background assumptions
• Prefer approximate location unless precise coordinates unlock a real workflow
• Keep automations narrow, visible, and easy to disable
• Do not mix location with sensitive admin actions unless the approval path is clear

People often imagine privacy failure as a dramatic hack. More often it is just lazy accumulation. Too much logging, too much retention, too many workflows that seemed clever for a week.

Troubleshooting

Location requests fail immediately

• Check that location mode is not set to off
• Confirm the OS permission was granted for the requested mode
• On Android, make sure the app is in the foreground for direct reads

The coordinates are too vague

• Turn on precise location if the workflow truly needs it
• Increase timeout for obtaining a better fix
• Do not expect indoor readings to behave like outdoor GPS

Automations trigger too often

• Use broader geofences or fewer event types
• Add debounce logic so repeated arrivals do not spam actions
• Prefer one decisive trigger over three overlapping ones

The feature feels invasive

• Switch precise location off
• Restrict the feature to while-using mode
• Cut the workflow until you can explain it in one sentence

What to do next

If you are setting this up for the first time, be boring on purpose. Start with one arrival or departure automation, one device, and the minimum location precision that still works.

Then connect it to the parts of OpenClaw that benefit from timing: standing orders, camera workflows, or voice interactions. Good location features feel less like tracking and more like good timing.