How to Get Grok to Control Your Smart Home

Status: Workaround, verified August 25, 2026

Grok can control a smart home today only if you route it through Home Assistant using unofficial community integrations and xAI’s API. Home Assistant remains the system that actually turns devices on, runs scripts, and calls automations. xAI supplies the model, and optionally cloud speech-to-text and text-to-speech. The glue between them is community-maintained code, not an official Tesla or xAI smart-home feature.

If you arrived here after a Tesla Grok AI voice assistant test for smart home control, the important correction is simple: this recipe is not about making an in-car Tesla assistant operate your house. The broader status answer is covered in NestGrid’s Grok smart-home compatibility brief. This page is the practical Home Assistant route once you accept that adapters are doing the real work.

What you are actually building

The clean mental model is a three-part chain:

• Home Assistant is the controller. It already knows your entities, areas, scripts, automations, and Assist pipeline.
• xAI is the model or voice-service provider. It receives request text or audio where the selected integration sends it.
• The community integration decides how a natural-language request becomes a Home Assistant action.

The main integration for device control is xAI Conversation by pajeronda. It installs through HACS as a custom repository, requires an xAI API key, and exposes three interaction modes: Intelligent Pipeline, Tool Control, and Chat Only. It also includes a smart-router that can extract short Home Assistant commands locally to reduce token use before handing longer requests to the model. [1]

A second integration, grok_conversation by braytonstafford, is for voice plumbing. It adds xAI cloud STT and TTS engines to Home Assistant’s Assist pipeline, so it is relevant only if you want spoken input or spoken responses through xAI’s voice services rather than just a text-based conversation agent. [2][3]

Keep those separate. The conversation agent decides what command should run. The Assist pipeline decides how speech becomes text and how text becomes speech. Home Assistant’s own device-control layer is still the thing touching your lights, locks, media players, and climate entities.

Before you install anything

This is a Home Assistant power-user recipe. You should already be comfortable with HACS, custom repositories, restarting Home Assistant, reading integration logs, and backing out a custom component when it misbehaves. If that sounds like too much maintenance for a light switch, use Home Assistant’s built-in Assist stack or a supported voice assistant instead.

You need:

• A working Home Assistant installation with the devices, scripts, and automations you want to control already set up.
• HACS installed and working.
• An xAI API key for xAI Conversation.
• A decision about whether you want text-only control, Home Assistant Assist voice control, or xAI cloud STT/TTS.
• A willingness to monitor token usage, API permissions, and integration updates.

Do not start by adding every automation you own to a language model’s reach. Pick a boring room and a few low-risk entities first: a lamp, a media player, maybe a test script. A clever demo that can also unlock doors, open garage doors, or change security state is not a clever first test.

Install xAI Conversation through HACS

The xAI Conversation project is distributed as a HACS custom repository rather than as a built-in Home Assistant integration. The project’s Home Assistant Community thread documents the HACS route, the API-key requirement, the interaction modes, memory modes, and version changes including the v3.0.0 update in January 2026. [1]

1. Open Home Assistant.
2. Go to HACS.
3. Open the custom repository dialog.
4. Add the xAI Conversation repository from the project’s Home Assistant Community instructions.
5. Install the integration.
6. Restart Home Assistant if prompted.
7. Add xAI Conversation from Home Assistant’s integrations screen.
8. Paste your xAI API key when the integration asks for it.

After installation, the important configuration choice is not the model name first. It is the interaction mode. That mode determines whether Grok is just chatting, passing commands into Home Assistant intents, or getting broader tool-style access to Home Assistant actions.

Choose the interaction mode before you test commands

xAI Conversation’s three modes are integration-specific behavior. They are not official xAI smart-home modes, and they should not be described as Tesla features. They are choices made by the Home Assistant integration about how to interpret and execute a request. [1]

Intelligent Pipeline: start here for ordinary home commands

For a first working setup, Intelligent Pipeline is the least dramatic choice. The attraction is that execution still terminates in Home Assistant’s local intent machinery. A request like “turn off the living room lamp” should be handled as a Home Assistant command, not as a free-form model improvisation.

This is also where the smart-router matters. The xAI Conversation project describes a router that extracts short commands locally to reduce token usage. That matters because every avoidable model call is both a cost and a privacy decision. A short light command does not need to become a long cloud reasoning session if the integration can classify it locally. [1]

Use this mode to test low-risk commands first:

• “Turn on the kitchen lights.”
• “Set the office lamp to 30 percent.”
• “Turn off the bedroom fan.”

Watch Home Assistant’s trace and log behavior while you test. If the command fails, the useful question is not “Did Grok understand me?” It is which layer failed: speech recognition, conversation routing, intent matching, entity exposure, service call, or the device itself.

Tool Control: use it when scripts and automations are the point

Tool Control is the mode to consider when your useful actions already live in Home Assistant scripts and automations. The integration describes this mode as using standard and extended Home Assistant tools, including scripts and automations. [1]

That extra reach is exactly why it should not be the casual default. A script can hide a lot of consequence behind a friendly name. “Start movie night” might be harmless. “Away mode” might change climate, lights, locks, cameras, and notifications. Before exposing scripts to Tool Control, rename them clearly, remove stale experiments, and decide which ones you are comfortable triggering by natural language.

A good Tool Control test is a script you can observe and reverse. Run it manually in Home Assistant first. Then call it through the assistant. Then check whether the same automation still behaves correctly when a phrase is slightly different. Do not use the first successful run as proof that the model will always choose the intended tool.

Chat Only: useful when you want Grok present but harmless

Chat Only is not wasted configuration. It is the mode for checking whether the API key works, whether the model responds in the style you expect, and whether the integration behaves reliably before you give it control authority. It is also the right mode for a dashboard assistant that can explain routines or answer household questions without touching entities.

If you are comparing this to other DIY assistant experiments, the same separation is useful in the sibling ChatGPT voice-control recipe and in the OpenAI Astra and Home Assistant compatibility brief: the assistant layer and the execution layer are not the same thing.

Decide how memory and privacy should work

The memory setting is not cosmetic. xAI Conversation documents three memory modes with different privacy and cost trade-offs: server-side memory on xAI’s cloud, Zero Data Retention using encrypted local blobs, and local chatlog mode. The project notes that Zero Data Retention with encrypted local blobs was introduced in v3.0.0 on Jan. 28, 2026. [1]

For a household assistant, memory is where “it works” can quietly become “why did I send that to a cloud API?” Commands reveal occupancy patterns, room names, routines, and sometimes names of people. If you choose server-side memory because it is cheaper or easier, label that as a conscious choice. If you choose a local or Zero Data Retention mode, test whether the assistant still has enough context for the way you intend to use it.

Token use deserves the same plain treatment. The smart-router may reduce token usage for short commands, but it does not make the setup free, local, or immune to pricing changes. Longer requests, chatty household interactions, and repeated voice retries can still hit the API. If the assistant will be available to the whole household, assume people will talk to it less efficiently than you do during setup. [1]

Optional: add xAI cloud STT and TTS to Assist

You do not need xAI voice services to make Grok-style Home Assistant control work. You can use xAI Conversation as the conversation agent and keep your existing Assist speech-to-text and text-to-speech choices. Add grok_conversation only if you specifically want xAI cloud STT and TTS engines in the Home Assistant Assist pipeline. [2][3]

The grok_conversation project is a separate custom integration. Its GitHub repository identifies version 1.7.6 and describes the xAI cloud STT/TTS engines. The repository also states the key failure mode worth knowing before you burn an evening on microphone debugging: if the key lacks Voice API permission, conversation can still work, but STT/TTS fail and the integration logs “xAI Voice API not available for this key.” [3]

1. Install grok_conversation as a custom integration using the project’s GitHub instructions.
2. Restart Home Assistant if required.
3. Add the integration and provide the required xAI API credentials.
4. Open Home Assistant’s voice assistant or Assist pipeline settings.
5. Select the xAI STT and/or TTS engine where you actually want xAI voice services used.
6. Run one short microphone test and one short spoken-response test before testing device control.

If text commands work but voice fails, do not rebuild the whole conversation-agent setup. Check the Assist pipeline first. Then check API permissions. The logged Voice API message is a permission clue, not evidence that Home Assistant intents or xAI Conversation are broken.

A sane first test sequence

The fastest way to make this setup look unreliable is to start with a vague whole-home command. The fastest way to learn what is working is to test one layer at a time.

1. In Chat Only, confirm the xAI API key works and the integration returns responses.
2. Switch to Intelligent Pipeline and test one known light or switch by its normal Home Assistant name.
3. Test an area command, such as turning off one room’s lights.
4. If you need scripts, switch to Tool Control and test one reversible script.
5. Only after text control is stable, add or change voice pipeline components.
6. Check logs after failures and classify the failure by layer: API, speech, routing, intent, tool call, Home Assistant service, or device.

A useful first session might be ten minutes long: one chat response, three light commands, one failed phrasing, one corrected phrasing, and a log check. That teaches more than a polished demo where a single command happens to land cleanly.

The breakpoints to watch

Both integrations are unofficial and versioned community projects. The xAI Conversation thread records active changes, including the January 2026 v3.0.0 release and deprecation of its earlier Grok Code Fast service. That is not a reason to avoid it; it is a reason to date your setup notes and avoid treating today’s behavior as permanent. [1]

The grok_conversation repository is also explicit that the project is not affiliated with or endorsed by xAI. It is published as community code, with the repository documenting its own license and current behavior rather than promising platform support. [3]

For maintenance, keep a note with the Home Assistant version, xAI Conversation version, grok_conversation version if used, chosen interaction mode, memory mode, and verification date. If the setup breaks, that note is better than a memory of “Grok used to control the lights.”

This can work today for a capable Home Assistant user. The durable part is not Grok. It is Home Assistant’s local execution layer: the entities, scripts, automations, intents, and logs that let you see what actually happened. Keep the August 25, 2026 verification date attached to this recipe, expect version churn, watch API permissions and pricing, and treat the Grok layer as useful, interesting, and replaceable.

References

1. xAI Conversation — Share your Projects! — Home Assistant Community, Oct. 18, 2025
2. Grok Generative AI Conversation - Voice Assistant — Home Assistant Community, Sep. 16, 2025
3. braytonstafford/grok_conversation — GitHub