This project is a smart home automation framework and a library of device drivers and handlers designed to integrate hardware into the SmartThings ecosystem. It functions as an IoT device handler repository that translates proprietary hardware signals into standard commands for a central hub. The system emphasizes a local hub rules engine to execute automation logic and device routines directly on hardware, reducing reliance on cloud processing. It provides a collection of custom drivers specifically for managing Zigbee, Z-Wave, and LAN devices. The framework covers the development of custom
Valetudo is a custom firmware project for robot vacuums that enables local-only control, removing dependencies on cloud servers and protecting user privacy. It replaces proprietary vendor binaries with open source software to ensure that data, including floor plans and images, is not uploaded to external clouds. The project distinguishes itself by providing a rooted firmware installation process that prevents forced vendor updates. It implements a standardized control interface across different hardware brands and utilizes an MQTT-based message bus to facilitate integration with open source a
python-miio is a Python library and hardware driver implementation of the Miio protocol, designed for controlling and managing Xiaomi smart appliances. It provides the necessary software interfaces to translate high-level commands into network packets for device communication. The project includes a specialized network device simulator for emulating hardware responses to test protocol implementations without physical devices. It also features a command-line interface for sending commands, querying device status, and performing token retrieval for secure authentication. Capability areas cover
GLaDOS is a multimodal AI agent framework designed to create autonomous systems that process text, speech, and visual data to interact with users and their environment. It centers on an AI personality framework that emulates complex character personas using a multi-agent architecture and configurable behavioral profiles. The project distinguishes itself through an integrated tool layer that connects language models to external hardware, smart home devices, and system APIs via a standardized protocol. It features a character text-to-speech engine with low-latency playback and interruption hand