QD [v20240210] —— HTTP请求定时任务自动执行框架 base on HAR Editor and Tornado Server

Caffeine + Redis实现二级缓存框架。支持动态配置是否开启一级缓存、二级缓存。支持多个节点部署,多节点之间一级缓存通过redis订阅/发布功能来通知其他节点进行清理缓存的操作。

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Cross-platform GUI tool for downloading watermark-free videos from TikTok, Douyin and more. Supports batch downloads and user profile scraping. 跨平台GUI工具，用于无水印下载TikTok、抖音等平台视频。支持批量下载和用户主页视频批量获取。

抖音去水印批量下载用户主页作品、喜欢、收藏、图文、音频

分享一些好用的 Dify DSL 工作流程，自用、学习两相宜。 Sharing some Dify workflows.

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

可循环值守和多人录制的直播录制软件，支持抖音、TikTok、Youtube、快手、虎牙、斗鱼、B站、小红书、pandatv、sooplive、flextv、popkontv、twitcasting、winktv、百度、微博、酷狗、17Live、Twitch、Acfun、CHZZK、shopee等40+平台直播录制

异步处理

身份证识别OCR

2026年3月更新，目前国内可用Docker镜像源汇总，DockerHub国内镜像加速列表，🚀DockerHub镜像加速器

A set of nodes for ComfyUI that can composite layer and mask to achieve Photoshop like functionality.

Making ComfyUI more comfortable!

Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, Process Switches, and many more nodes.

CloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub. GitHub 上最棒的开源 Win10/Win11 数字权利（数字许可证）激活工具！

一键自动化 下载、安装、激活 Office 的利器。

Convert PDF to markdown + JSON quickly with high accuracy

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

开源A股量化分析（并且配合llm模型，进行高级分析）

开源量化分析

本项目是基于dify开源项目实现的dsl工作流脚本合集

ComfyUI nodes for Janus-Pro, a unified multimodal understanding and generation framework.

有趣的80后程序员的工作流分享

Extract data from a wide range of Internet sources into a pandas DataFrame.

This project demonstrates how to use the Qwen2-VL model from Hugging Face for Optical Character Recognition (OCR) and Visual Question Answering (VQA). The model combines vision and language capabil…

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Production-ready platform for agentic workflow development.