A multi-agent event planning workflow built with Microsoft Agent Framework - combining Semantic Kernel's enterprise orchestration with AutoGen's multi-agent patterns.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

AI-powered YouTube Shorts creation with AutoGen 0.4. Agents handle scripting, voiceovers, images, and video assembly—all automated!

In this repo, we explore Microsoft’s MagneticOne multi-agent system. It includes a workflow summary, a basic diagram, and a draft implementation in LangGraph. Contributors are welcome to test and improve this adaptation from Autogen to LangGraph for another community-driven solution.

This is an AI-Powered Blog Generation System tailored for small and medium-sized businesses (SMBs) to automate and optimize their content creation for marketing purposes. The system leverages Microsoft Autogen for a multi-agent workflow, Perplexity AI for research, DALL·E for image generation, and Azure OpenAI's GPT-4o as the primary LLM.

Autonomous AI Agent using DeepSeek automates business tasks like email summarization, meeting scheduling, and customer support. Powered by DeepSeek AI, AutoGen, and LangGraph, it streamlines workflows, integrates with APIs, and enhances productivity with adaptive multi-agent collaboration. 🚀

Custom OpenClaw skills — multi-agent workflows, CrewAI, AutoGen, HuggingFace, dev workflows

⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows.

Project repository featuring multi-agent systems, LLM workflows, and AI automation using CrewAI, LangGraph, AutoGen, OpenAI SDK, and MCP

Investigating the usefulness of "AutoGen" by Microsoft. AutoGen is a framework for simplifying the orchestration, optimization, and automation of LLM workflows. This repository contains experiments testing multi-agent coordination, task delegation, and performance benchmarks.

Interactive WebSocket UI with FastAPI backend for orchestrating multi-agent workflows using AG2AI Autogen. Features real-time streaming, JSON formatting, and agent alignment.

Hands-on demos showcasing Agentic AI workflows using AutoGen Framework with local LLMs via Ollama — featuring single, multi-agent, human-in-the-loop, and multimodal agents.

An experimental framework for building and orchestrating multi-agent AI systems using OpenAI, Ollama, Gemini, and Groq. Powered by LangGraph, LangChain, AutoGen, CrewAI, and OpenAI Agents SDK to enable intelligent collaboration, reasoning, and adaptive LLM workflows across agents.

Evolvex is an AI-powered multi-agent system that automates software development workflows. It integrates LangChain, AutoGen, Codium API, and RAG for code completion, bug detection, documentation, and knowledge retrieval, enhancing productivity through AI-driven automation and smart collaboration.

Experiments with AutoGen: Multi-agent LLM workflows using OpenAI, Azure, Gemini, Ollama & more.

Sample console app to demonstrate a multi-agent workflow (AutoGen framework) for summarizing lengthy legal documents.

Experimenting with the Microsoft's Autogen library, a multi-agent conversation framework to build LLM workflows

An intelligent **AutoGen multi-agent workflow generator** that helps you design, plan, and create production-ready agent workflows through an interactive conversation interface.

Hands-on tutorial for building AI agents with Microsoft AutoGen - covering single agents, tools, multi-agent teams, and human-in-the-loop workflows

Comprehensive research report on AI Agents & Multi-Agent Systems with Nano Banana visual workflows, framework comparisons (LangGraph, AutoGen, CrewAI), implementation guides, and benchmarking methodologies.

Production-ready multi-agent reasoning framework powered by LLMs. Integrates LangChain, CrewAI, and AutoGen for collaborative problem-solving with real-time data workflows.

An AI‑powered stock analysis tool inspired by AutoGen‑style multi‑agent workflows. It retrieves real‑time market data and generates educational investment insights using a custom multi‑agent reasoning system. Not financial advice.

GeoFaham is an AI-powered geospatial analysis platform that lets users query complex geospatial workflows in natural language, automatically orchestrating specialized AI agents via a Microsoft AutoGen multi-agent architecture.

A comprehensive roadmap and implementation of Agentic AI systems. Features a progression from foundational reflex agents to advanced multi-agent orchestrations using LangGraph, CrewAI, Agno, and AutoGen. Includes Model Context Protocol (MCP) integrations and real-world AI agent workflows

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

This repo demonstrates human-in-the-loop pattern and multi-agent orchestration using AG2 (AutoGen 2.0). It showcases how agents, workflows, and human oversight can be combined for reliable and controllable AI solutions.

AutoGen Multi-Agent Technology automates workflows with AI agents, enabling data analysis, real-time visualization, and simulations. It integrates with machine learning, APIs, and predictive analytics for applications in trading, gaming, and decision-making.

Agentic AI and Generative AI implementations using LangChain, LangGraph, CrewAI, AutoGen, and advanced RAG architectures. Includes LLM orchestration, multi-agent workflows, vector databases, CI/CD pipelines, observability, and cloud-native deployment on AWS , Azure and GCP.

An enterprise-ready Multi-Agent AI System leveraging AutoGen framework, designed to seamlessly automate workflows across departments. Integrating dynamic knowledge retrieval and intelligent agent interactions, this repository demonstrates practical approaches to robust data handling, reliable responses, and autonomous automation.

An agentic medical RAG application for automated clinical discharge summary generation. Powered by Endee Vector DB for high-performance sub-millisecond similarity search and AutoGen for autonomous multi-agent clinical workflows. Built with FastAPI, Streamlit, and Bio-ClinicalBERT embeddings