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Gladys Assistant
Apache-2.0Gladys Assistant is a privacy-first smart home alternative to Apple Home and Google Home, running local scenes, Zigbee devices, and cameras via Docker.
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Overview
Gladys Assistant is an open-source home automation hub that executes smart home workflows on local hardware. Its guided configuration pairs low-overhead Docker containers with a clean web interface, avoiding the YAML files common in self-hosted home automation. Sensor states, device schedules, and telemetry stay on the host machine, keeping connected peripherals operational without cloud subscriptions.
Why Gladys Assistant instead of Apple Home
Apple Home promises local execution and privacy, but it imposes a steep hardware tax to enter the ecosystem. Running Apple Home requires a dedicated Apple TV 4K or HomePod hub, alongside iOS devices for system management. Retaining security camera history incurs recurring costs through iCloud+ storage tiers. Closed vendor certification historically restricted device choices to expensive HomeKit-approved hardware, inflating the cost of equipping every room with sensors and switches.
Gladys Assistant removes that entry barrier by running in Docker on existing homelab hardware, from a Raspberry Pi to a home server. It talks directly to standard Zigbee dongles, Matter devices, and open MQTT endpoints, letting users deploy affordable commodity sensors instead of premium accessories. RTSP camera feeds stream locally without cloud video subscriptions. The trade-off is maintenance: while Apple updates hub firmware silently, a Gladys administrator manages container updates, local backups, and remote access.
What it does well
- Low-overhead Docker deployment: Runs in a single container on x86 and ARM systems, consuming only a few hundred megabytes of RAM on mini-PCs or Raspberry Pi boards.
- Native Zigbee and Matter support: Pairs directly with USB coordinators through Zigbee2MQTT and connects to Matter and MQTT peripherals without proprietary gateways.
- Local time-series telemetry: Stores sensor history in DuckDB and device states in SQLite, enabling long-term temperature and power tracking without external database administration.
- Visual scene builder: Configures multi-device automations, conditional logic, and timer delays in the browser without writing configuration syntax.
- Local RTSP camera streaming: Displays live camera feeds and motion snapshots directly on dashboard cards without cloud streaming subscriptions.
- Containerized external integrations: Lets developers package custom integrations in any language as isolated Docker containers installable through the web UI.