Experimental Windows video player for DLSS 5-style neural rendering, cached original/neural comparison and optional runtime DLSS upscaling. Local files and YouTube. C++20 / Direct3D 12. Unofficial integration; NVIDIA component rights belong to NVIDIA.
A practical governance framework for organizations adopting the Model Context Protocol (MCP), the open standard that lets AI agents connect to external tools, data sources, and systems.
A beginner-friendly live media trigger and overlay tool built with Qt 6, FFmpeg, and OpenGL. Perfect for school events, small concerts, and sports—combining the simplicity of instant clip triggering with the power of live visual control. - GitHub - CutWire-Studios/Prism: A beginner-friendly live media trigger and overlay tool built with Qt 6, FFmpeg, and OpenGL. Perfect for school events, small concerts, and sports—combining the simplicity of instant clip triggering with the power of live visual control.
Eigenwise's toolshed of Claude Code plugins. Includes codebase-mapper: a self-maintaining, language-agnostic codebase map that auto-loads into every Claude session.
Diktafon is a private, open-source voice memo app that transcribes and summarizes your recordings entirely on your device — organized like cassette tapes.
Run Linux-style commands on Windows via deterministic bash→PowerShell translation. No VM, no WSL. MCP server + CLI built for AI agents (Claude Code, Codex, OpenCode...). GNU-style output, bash-style errors, UTF-8/GBK handled.
Kayforkind Content-Derived Design CLI. HTML in, standalone HTML out from the source's own nouns, dates, numbers, and colors. Not the reimagineit.ai interview SaaS.
Majoor OmniCam is a camera layout and animation tool for ComfyUI. It lets you prepare camera motion without running image or video generation while editing. You can position cameras, create keyframes, preview motion, and record a simple reference video for compatible video models.
Krawl is a customizable lightweight cloud native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities and realistic, randomly generated decoy data
Evidence-aware multi-engine mathematics runtime for LLMs: exact, symbolic, formal, certified-interval and numeric computation with typed MathIR, trust labels, and full provenance