Lists (17)
Starred repositories
An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
Native UI testing / controlling with node
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
A Model Context Protocol (MCP) server for querying the VirusTotal API.
MCP server to expose VS Code editing features to an LLM for AI coding
Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
The Unofficial and Awesome Home Assistant MCP Server
Custom TTS component for Home Assistant. Utilizes the OpenAI speech engine or any compatible endpoint to deliver high-quality speech. Optionally offers chime and audio normalization features.
Add Environment Variable to Home Assistant OS.
Use Free Cardata To Read BMW data in HA (EU only)
all of the workflows of n8n i could find (also from the site itself)
PC Software for BambuLab and other 3D printers
YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open
Runtime Accelerated Rendering Infrastructure (Rari): High-performance React Server Components framework powered by a Rust runtime, delivering 12x faster P99 latency and 10.5x higher throughput than…
One does not simply remove styled-components from a codebase.
🎨 Home Assistant soft UI light theme, with help from @JuanMTech, @thomasloven, and @N-L1.
HomeAssistant integration for MySkoda.
Access serial ports with JavaScript. Linux, OSX and Windows. Welcome your robotic JavaScript overlords. Better yet, program them!
A Rust-based program for interacting with OBD (On-Board Diagnostics) systems via ELM327 devices. This project enables TCP/IP connections to ELM327 adapters, sending OBD commands, decoding responses…
A rust based cross-platform ECU diagnostics and car hacking application, utilizing the passthru protocol
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion