Organize your Home Assistant entities and generate a clean dashboard in minutes.

Lovelacer analyzes your Home Assistant setup, groups entities by room, filters noise, and generates a dashboard you can preview before applying.

No YAML required.
No cloud required.
Nothing changes until you click Apply.

Home Assistant is incredibly flexible, but the default dashboard often exposes too much raw structure:

• duplicated sensors
• helper entities
• diagnostics
• inconsistent naming
• integrations dumping everything into one view

Lovelacer creates a cleaner starting point automatically.

Instead of manually organizing entities and building dashboards card by card, Lovelacer helps you:

• detect rooms
• group entities by domain
• hide noise
• preview the result
• apply a separate generated dashboard safely

Lovelacer reads your Home Assistant entity, device, and area registries.

It detects:

• rooms
• domains
• noisy entities
• low-confidence assignments

Review grouped entities before anything is applied.

You can:

• move entities between rooms
• hide unwanted entities
• review low-confidence assignments

Lovelacer generates a clean Lovelace dashboard using Home Assistant's native Sections layout.

The generated dashboard:

• stays fully editable in Home Assistant
• uses built-in cards
• is created separately from your existing dashboards

Nothing changes automatically.

Lovelacer:

• creates a separate dashboard
• never overwrites your existing dashboard
• lets you re-analyze and regenerate later

The current release focuses on:

• room detection
• dashboard generation
• review and preview workflow
• safe dashboard apply flow

Planned future exploration includes:

• HomeKit targeting
• Google Home targeting
• Smart Panel export
• optional AI-assisted suggestions

These are intentionally not part of the first release.

• Room-based entity grouping
• Confidence scoring
• Entity review workflow
• Dashboard preview
• Storage-mode Lovelace generation
• YAML export
• No cloud dependency
• No telemetry
• Home Assistant add-on support
• Standalone Docker support

Lovelacer is intentionally:

• local-first
• deterministic
• transparent
• lightweight
• Home Assistant-native

It is not:

• a replacement for Home Assistant
• a custom dashboard runtime
• an AI-first product
• a locked cloud platform

Add the Lovelacer repository to Home Assistant add-ons:

https://github.com/Studio81Labs/lovelacer

Then:

1. Install the add-on.
2. Open Lovelacer.
3. Click Analyze.
4. Review the result.
5. Apply the generated dashboard.

Full add-on instructions and troubleshooting are in docs/ADDON_INSTALL.md.

Standalone Docker support is available for Home Assistant Core users.

Documentation coming soon.

Lovelacer works locally by default.

• No telemetry
• No cloud required
• No external API calls
• No data collection

Future AI-assisted features will remain optional and opt-in.

• stable public v1.0.0 release
• better heuristics
• more integrations
• improved room detection
• dashboard polish

• entity targeting workflows
• HomeKit filtering/export
• Google Home targeting
• Smart Panel integration

See docs/ROADMAP.md for the full project roadmap.

The first-run wizard. Pick a language; the rest auto-fills.	Re-analyze after you add devices. The diff view shows what moved.
Smart suggestions. Accept improvements with one click.	The result. A native HA dashboard. No custom cards required.

Public v1.0.0 release.

The current version is focused on validating:

• heuristics quality
• dashboard usefulness
• review workflow UX

before expanding into broader entity management workflows.

MIT. See LICENSE.

Built for the Home Assistant community.

Inspired by years of manually cleaning up dashboards, filters, and entity chaos.