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LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。

WordPress, Git-ified. This repository is just a mirror of the WordPress subversion repository. Please do not send pull requests. Submit pull requests to https://github.com/WordPress/wordpress-develop and patches to https://core.trac.wordpress.org/ instead.

Video players (IJKplayer, ExoPlayer, MediaPlayer), HTTPS, 16k page size, danmaku (bullet chat) support, external subtitles, support for filters, watermarks, and GIF screenshots, pre-roll and mid-roll ads, multiple simultaneous playback, basic seeking/dragging, volume and brightness adjustment, play-while-cache support

This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md

VLC media player - plays everything, runs anywhere. Code here: https://code.videolan.org/videolan/vlc

  • c
  • vlc
  • multimedia
  • framework

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

TranslatedA multi-task real-time/scheduled monitoring and intelligent analysis system for Xianyu (闲鱼), built with Playwright and AI, and equipped with a full-featured back-end management UI. It helps users find the products they like among the vast number of items on Xianyu.

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.