automation

Homectl

A simple home automation server written in Rust
108 stars+1★ this week (early data)13 forksTypeScriptUpdated 9/21/2026100% free · open source
What it does

homectl runs a lightweight Rust‑based server that lets you control smart‑home devices (lights, switches, sensors) via a simple HTTP API.

When to use it
  • You need a self‑hosted home‑automation hub and don’t want a cloud‑only solution.
  • Your team prefers Rust for performance and security over Node‑ or Python‑based hubs.
  • You want a single binary you can run on a Raspberry Pi or any Linux box without extra runtime dependencies.
Ready-to-paste prompt
curl -X POST http://localhost:8080/api/v1/device/living_room_light -d '{"state":"on"}' -H 'Content-Type: application/json'
Heads up: The binary requires a recent Rust toolchain (rustc 1.70+). If you run on a Raspberry Pi, make sure you have the `armv7-unknown-linux-gnueabihf` target installed, otherwise the build will fail.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/470828ae-9342-4668-9315-6cf791717e6c && curl -fsSL https://workflowstacks.com/api/skills/470828ae-9342-4668-9315-6cf791717e6c/claude-skill -o ~/.claude/skills/470828ae-9342-4668-9315-6cf791717e6c/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Homectl works
Codeflow
Free to inspect

Homectl is a very large Rust project (~110k lines across 522 code files, plus 26 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~110k lines · 522 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Rust · Docker
No API keys detected
Rust 60%TypeScript 37%Hurl 1%JavaScript 1%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    Cargo.toml
    Dependencies and the commands it exposes
What's in each folder
ui/Frontend / UI495 files
server/Backend / API175 files
cli/Command-line entry points6 files
docs/Documentation15 files
.github/CI / automation (GitHub Actions)3 files
.moon/Tool / agent settings3 files
.agent/Tool / agent settings1 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
FruitieX
Language
TypeScript
Category
automation
Published
2/8/2020

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/470828ae-9342-4668-9315-6cf791717e6c.svg)](https://workflowstacks.com/skills/470828ae-9342-4668-9315-6cf791717e6c?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.