🔥AI low-code platform empowers enterprises to quickly develop low-code solutions and build AI applications. 助力企业快速实现低代码开发和构建AI应用！ AI应用平台涵盖：AI应用、AI模型、AI聊天助手、知识库、AI流程编排、MCP和插件，聊天式业务操作等。 强大代码生成器：实现前后端一键生成，无需手写代码! 显著提升效率节省成本，又不失灵活~

An AI application platform based on large language models and RAG technology. 一款基于大型语言模型和RAG技术的AI应用平台，支持快速创建图文并茂的AI知识库和智能聊天助手。界面简洁，提供知识库管理、流程编排、模型配置、向量库对接及实时监控，帮助用户轻松构建精准智能问答系统。

Kai Fusion Build AI Agents & Workflows, Visually

Github热点AI自动分析

SmartFlow 基于SmartAdmin和Dromara Warm-Flow工作流开源项目，实现了流程设计、流程实例、流程审批、流程监控等功能。

Agent Player Open-source AI desktop assistant — run local or remote LLMs with privacy-first design and zero setup required.

A complete multi-tenant SaaS system for building and executing automated workflows with AI integration, similar to Zapier, Make, Kissflow, and Pipefy.

YouTube Video Summarizer

Receive an alert on Slack when one or more Airflow Task misses their SLA

Control Markets Frontend Repo

This repository contains learning materials for the Data Engineer program at Alterra Academy

Visual AI Agent Workflows — design, run & debug multi-agent systems with full transparency.

Brewery Data Pipeline - This project implements a data pipeline to fetch, transform, and persist brewery data from the Open Brewery DB API into a data lake, following the medallion architecture (bronze, silver, gold layers). The pipeline is orchestrated using Apache Airflow and runs within Docker containers, coordinated via Docker Compose.

Final project for OTUS "Data Engineer" specialization. Prototype system of automatic tests for CV neural networks. Examples for MNIST classificator

Building a simple pipeline and automating through airflow.

ATSBooster enhances resumes by analyzing job descriptions and providing AI-driven suggestions to improve ATS compatibility and increase hiring chances. 🚀

Reddit data pipeline with Lakehouse architecture. Collects posts & comments, processes them (Bronze -> Silver -> Gold), performs sentiment/trend analysis, and visualizes with Superset. Built with Kafka, Spark, Iceberg, Trino, Airflow, MinIO.

Automated machine learning pipeline with Airflow and model experiments using MLflow