Energy Usage Tracking with OpenClaw

Overview

OpenClaw is a self-hosted autonomous AI agent that runs on your hardware and connects to the messaging apps you already use. Unlike cloud assistants, it executes tasks-including controlling smart home devices, querying sensors, and triggering automations. For home automation, you typically run OpenClaw on a Raspberry Pi, a home server, or a small Linux box; connect it to Telegram or WhatsApp; and add skills from the ClawHub marketplace that integrate with your smart home stack (e.g. Home Assistant, MQTT, or vendor APIs). You can then say "turn off the bedroom lights" or "did the garage door close?" and get answers or actions in chat.

What you'll learn:

• Core concepts: smart home control through chat, IoT device management, and event-based automations
• Prerequisites: OpenClaw, a messaging channel, and a smart home hub or protocol (e.g. Home Assistant, MQTT)
• Step-by-step implementation: skills, webhooks, and scheduled tasks for lights, cameras, energy, and security
• Best practices and security (no exposed gateway, least privilege, secure credentials)
• Common pitfalls and how to avoid them
• Real-world examples: lights, thermostats, camera triggers, energy tracking, garage door status, plant/pet reminders

Home Automation Use Cases (from the manual)

These are the main scenarios the OpenClaw roadmap recommends for home automation:

• Smart home control through chat - Lights, thermostats, locks; e.g. "set thermostat to 72" or "turn off all downstairs lights."
• Camera trigger automations - Motion or event-based alerts and clips; e.g. "send me a summary when the doorbell camera detects motion."
• Energy usage tracking - Smart meter or plug data; e.g. "how much did we use this week?" or daily cost summaries.
• Weather-based actions - Notifications and device rules; e.g. "if rain is forecast, remind me to close the windows" or trigger irrigation skip.
• IoT device management - Status and control of connected devices; e.g. "list all devices" or "is the garage door closed?"
• Home security alerts - Alarms and activity digests; e.g. "alert me if the alarm is triggered" or "morning security summary."
• Appliance scheduling - Timers and routines; e.g. "run the robot vacuum every Tuesday at 10am" or "remind me when the laundry is done."
• Garage door and access control - Status checks and, with appropriate security, open/close commands; e.g. "is the garage closed?"
• Plant watering and pet feeding reminders - Scheduled prompts and logs; e.g. "remind me to water the plants every Sunday" or "log when the pet feeder ran."

All of these can be implemented using OpenClaw plus ClawHub skills (search for "home," "smart home," "Home Assistant," "MQTT," "camera," "energy"), or by having the agent call local APIs/webhooks that talk to your smart home system. Your data stays on your network; see security best practices.

Prerequisites

• OpenClaw installed and operational - Quick start guide; for a dedicated home box, consider Raspberry Pi or Linux.
• At least one messaging channel configured - e.g. Telegram or WhatsApp (channel setup).
• Basic understanding of OpenClaw configuration - Configuration guide and agent customization.
• Smart home infrastructure - A hub or protocol your devices use: e.g. Home Assistant, MQTT broker, or vendor clouds (Philips Hue, Tuya, etc.). OpenClaw will talk to this via skills or webhooks, not directly to every device.
• Security best practices reviewed - Security guide. Never expose the OpenClaw gateway to the internet; use local or VPN access only. Use credential management for any API keys (e.g. Home Assistant token).

Implementation Guide

Step 1: Install OpenClaw and a channel

Get OpenClaw running and connect a channel you'll use for home commands (e.g. Telegram). See Installation and Telegram setup. Ensure the gateway is bound to localhost or a private network only-see network isolation.

Step 2: Choose your smart home integration path

OpenClaw doesn't control devices by itself; it needs a bridge to your smart home:

• ClawHub skills: Search the ClawHub marketplace for "smart home," "Home Assistant," "MQTT," "Philips Hue," "camera," or "energy." Install a skill that connects to your hub or devices, then configure it with your hub URL and credentials (stored securely; see credential management). Audit skills before use.
• Home Assistant / MQTT / webhooks: If a skill calls your Home Assistant API or MQTT broker, ensure those services are reachable from the machine running OpenClaw (e.g. same LAN). Use a long-lived token or MQTT credentials with minimal scope. Webhooks from Home Assistant (or similar) can push events into OpenClaw (e.g. "motion detected") via an internal endpoint-never expose the gateway publicly.
• Shell or local scripts: For advanced users, the agent can run scripts that call curl or local tools to hit your hub's API. Restrict to a dedicated user and allowlist only the commands needed; see sandbox and tool restrictions.

Step 3: Configure the agent for home automation

In your agent configuration, give the agent clear instructions for home commands, e.g.:

• Use the installed skill to turn lights on/off, set thermostat, or query device status.
• For "is the garage closed?" or "list devices," the skill should return status from your hub.
• For camera triggers or security alerts, configure the skill (or webhook) to send events into the agent so it can summarize and post to the channel (e.g. "Motion at front door at 3pm").

Use persistent memory if you want the agent to remember preferences (e.g. "usual evening temperature") or to log when reminders were last sent (plant watering, pet feeding).

Step 4: Scheduled and event-driven automations

• Reminders (plant watering, pet feeding): Use OpenClaw's scheduled tasks (cron-style) or a skill that runs on a schedule to post a reminder in the channel (e.g. "Time to water the plants") or to log that the pet feeder ran.
• Energy summaries: If a skill or script can read smart meter or plug data, schedule a daily or weekly message with usage and cost (e.g. "This week's energy: 42 kWh, ~$5.20").
• Weather-based actions: A scheduled task can fetch weather (via skill or API), then post a reminder ("Rain forecast-close the windows") or trigger a rule in your hub (e.g. skip irrigation) by having the agent call the hub API through the skill.
• Security digest: Have the agent collect alarm or camera events (via webhook or skill) and send a morning summary (e.g. "Last night: 2 motion events, no alarms").

Keep all endpoints (webhooks, scripts) internal; see security best practices and network isolation.

Step 5: Test and iterate

Test with simple commands first ("turn on living room light"), then add camera triggers, energy, and reminders. Use openclaw status and logs to verify the agent and skills are running. If something fails, check troubleshooting and skill documentation.

Best Practices

• Never expose the gateway publicly: Smart home control should only be reachable from your LAN or via VPN. See security best practices and network isolation.
• Least privilege: Give the agent (and skills) only the permissions they need (e.g. read status + control lights, not full admin on the hub). Use sandbox and tool allowlists if the agent runs shell or scripts.
• Secure credentials: Store Home Assistant tokens, MQTT passwords, and API keys in environment variables or a secrets manager; see credential management. Never hardcode them in config files.
• Audit ClawHub skills: Before installing a skill that can control your home, review its permissions and code; see skills security.
• Start small: Begin with one room or one type of device (e.g. lights), then add cameras, energy, and security.
• Community: Share setups or ask for help in the Discord community.

Common Issues & Solutions

Need more help? See our full troubleshooting guide.

Advanced Tips

• Multi-room and scenes: Use your hub's scenes or groups; have the agent invoke them via the skill (e.g. "activate movie mode" = dim lights, close blinds).
• Voice-like experience: Since you're already in Telegram or WhatsApp, "turn off the lights" in chat is as fast as talking to a smart speaker-with the benefit of running fully self-hosted.
• Combine with other use cases: Use the same OpenClaw instance for personal productivity (e.g. morning briefing) and include a "home status" line (thermostat, garage, last alarm) in the digest.
• Custom skill: If no ClawHub skill fits your hub, see creating a custom skill that calls your hub's API and exposes actions to the agent.

For expert-level configuration, see our advanced configuration guide.

Related Resources

Next Steps

After setting up home automation, consider:

• More use case categories - personal productivity, business, content creation, development, multi-agent
• Additional skills from ClawHub - search for "home," "MQTT," "camera," "energy"
• Security audit checklist - especially for network exposure and credentials
• Run OpenClaw on Raspberry Pi - ideal for a dedicated home automation box