Skip to main content

AI-driven framework for smart home automation

Project description

OpenAction

OpenAction is an AI-native action framework for the Agentic Home.

Move beyond rigid "If-This-Then-That" rules and tedious UI-based configurations. Powered by AI agent technology, OpenAction replaces traditional smart home solutions with flexible, adaptive logic. It help to translate natural language intent into dynamic, executable scripts — giving your smart home the ability to adapt, reason, and act.


Core Features

  • ️Natural Language Automation: Define complex home behaviors via chat. No more wrestling with nested "If-Then" menus or YAML configurations.
  • Stateful Intelligence: An integrated Store provides persistence, allowing scripts to save and retrieve data across multiple executions.
  • Dynamic Scheduling: A built-in Cron service triggers AI-generated scripts based on time, sensor events, or external API data.
  • Python Execution: The AI generates standard Python code, enabling complex calculations, loops, and sophisticated error handling.

Architecture & Workflow

The system acts as a bridge between high-level reasoning (Agents) and low-level hardware control. Here, the agent acts as a software developer who can introspect services and write custom, deterministic Python scripts to control the smart home devices. The workflow is as follows:

  1. The Intent: The user describes a goal to an MCP-capable client (e.g., Claude Desktop): "If it’s dark outside and someone is home, turn on the living room light. If we’re away, activate 'Vacation Mode' to simulate presence by randomly toggling lights for 10 minutes to 90 minutes, ending no later than 11 PM."
  2. The Translation: The Agent uses the OpenAction MCP Server tools to inspect available devices and writes a custom Python script.
  3. The Registration: OpenAction stores the script and sets up the necessary triggers (e.g., polling a weather API or listening for a sensor change).
  4. The Execution: When triggered, the script runs in a local sandbox, calling the endpoints of connected Sensors & Actuators.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openaction-0.0.25.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openaction-0.0.25-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file openaction-0.0.25.tar.gz.

File metadata

  • Download URL: openaction-0.0.25.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for openaction-0.0.25.tar.gz
Algorithm Hash digest
SHA256 63b3c71dfe64acff9fae6cc0aa37dbe311fbcdb7656bebb7657e75f658619b42
MD5 797946ad790d786f2f979fc1d0417092
BLAKE2b-256 66fe0011ad9e1f5ce4d9b0101e744179e551ceb4a749409b91cb5d4b5b6f0f64

See more details on using hashes here.

File details

Details for the file openaction-0.0.25-py3-none-any.whl.

File metadata

  • Download URL: openaction-0.0.25-py3-none-any.whl
  • Upload date:
  • Size: 11.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for openaction-0.0.25-py3-none-any.whl
Algorithm Hash digest
SHA256 f42fca688c530bc5a4ea0a9f71f96951bcc6218dad4888f5ac327f7fae1e4bfe
MD5 07cd983031b318e18e06a96e8951690f
BLAKE2b-256 af3dec9d20eb584627c065dda9e84ff5d44a9f3afbe304ff9ad123d78cc26e3c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page