Autogen agents

12 Lessons to Get Started Building AI Agents

A programming framework for agentic AI

MagenticLite is an experimental agent that works across the browser and local file system

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

This repository will have different projects using AutoGen and Tutorials

Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡

Web UI for AutoGen (A Framework Multi-Agent LLM Applications)

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot

Building LLM-Enabled Multi Agent Applications from Scratch

The fastest way to bring multi-agent workflows to production.

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

This module performs automatic construction of Swagger documentation. It can identify the endpoints and automatically capture methods such as get, post, put, and so on. It also identifies paths, routes, middlewares, response status codes and parameters. At the end, it generates the .json file containing the Swagger format specification.

Autogen + GPTs - build a swarm AI researchers

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.

Experimenting with AutoGen to see if an entire book can be written with AI agents

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

Drag & drop UI to build and run a flow of autogen AI agents

Run MemGPT-AutoGEN-Local LLM Together

AutoGen AGI: Advancing AI agents using AutoGen towards AGI capabilities. Explore cutting-edge enhancements in group chat dynamics, decision-making, and complex task proficiency. Join our journey in shaping AI's future!

This repo helps you to build a team of AI agents with Autogen

The AI Podcast Studio: generate podcasts scripts and their audio version with a team of AI workers in a Podcast Studio 🎙️📜

OADS: Generate games and programs using OpenAI agents. Built on top of Microsoft Autogen.

一个基于微软AutoGen框架的企业级金融分析系统，使用多Agent架构提供全面的财务分析、风险评估和量化投资分析功能。 核心功能: 多源数据收集 : 整合Yahoo Finance、Alpha Vantage、Quandl等多个金融数据源, 智能财务分析 : 基于AutoGen的多Agent协作分析, 风险评估 : VaR计算、压力测试、蒙特卡洛模拟, 量化分析 : 因子模型、投资组合优化、机器学习预测, 实时监控 : 系统性能监控和告警, 数据可视化 : 交互式图表和报告生成,

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

An advanced AI assistant that leverages the capabilities of ChatGPT API, Gemini Pro, AutoGen, and open-source LLMs, enabling it both to engage in conversations and to execute computing tasks on local devices.

This repository holds enhanced Agents, built for the Microsoft AutoGen Framework. Debuting with a MemoryEnabledAgent with improvements in context/token control, portability, and PnP functionality.

AutoGen最新架构v0.4正式发布第一个稳定版本，v0.4是对AutoGen的一次从头开始的重写，目的是为构建Agent创建一个更健壮、可扩展、更易用的跨语言库，其应用接口采用分层架构设计，存在多套软件接口用以满足不同的场景需求 。

AutoBrowse is an autonomous AI agent that can perform web browsing tasks.

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

Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK

Automatically generate boilerplate license comments.

Started out as Dynamic Function Calling for OAI. Upon reviewing a research paper released (LATM) This is/has become a implementation of such system using: OpenAI and Autogen

🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.

Q-Star Agent Code: A reinforcement learning-based framework for intelligent agents using Microsoft AutoGen. It leverages Q-Star, a Q-learning variant, for dynamic decision-making. Ideal for developing adaptive AI agents in diverse applications, from service bots to advanced simulations. Includes setup and customization guidelines.

iauto is a low-code engine for building and deploying AI agents

Deep Research through Multi-Agents, using GraphRAG

Autogen studio docker

A multi-agent chatroom for AutoGen agents

This repository demonstrates how a simple iterative coding loop, with history and resume capability, can be can be implemented in the AutoGen Framework.

Agent with vision ability via llava & autogen

使用Blazor+AutoGen打造多角色的会话Agent，打造有趣的智能体。

skills for autogen studio agents. python code skills. copy and paste into autogen studio

A simplified setup for users to explore the AutoGen library. Contains example scripts derived from AutoGen notebooks for a hassle-free experience.

Leverage AI to generate GraphQL queries from plain text.

A real-time shared memory layer for multi-agent LLM systems.

A Dockerfile for autogen studio

👩🏻‍🔬🧪SciTonic is a highly adaptive technical operator of agents that can produce complexe analyses on technical data with high performance & on-the-fly . You can ask it what you want and it will respond with quality everytime.

🦆 DUCK-E: The Duck That Talks Back - An AI-powered voice assistant that revolutionizes rubber duck debugging by actively engaging in your debugging process. Built with OpenAI Realtime API, FastAPI, and AutoGen framework for intelligent, real-time voice conversations about your code.

A Production-Ready agent components framework that compatible with other agent framework, such as agentscope, langgraph, autogen, more on the road

Java version of Microsoft AutoGen, Enable Next-Gen Large Language Model Applications

Example Notebook for Synthetic User Research with Persona Prompting and Autonomous Agents

AI-native database client powered by natural-language queries

This repository demonstrates how a simple memory file can be incorporated into an Agents routine using the AutoGen framework.

微软开源多Agent智能体协作框架AutoGen全新改版核心概念介绍及相关案例测试

DaveLovable The Most Advanced Open-Source AI Web Development Platform Build React applications at lightning speed with AI-powered multi-agent orchestration

A short set of exercises that showcase the usage of autogen to create agents

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.

An application designed to condense lengthy videos into concise, informative clips. Ideal for editors who need to efficiently sift through hours of footage to create compelling short films or highlight reels.

Conversational agents for engineering simulations with minimal human input using Microsoft AutoGen & GPT-4o.

MultiAgent Chat UI

Porting Microsoft's Autogen library into Elixir

A handy utility to generate configmap and values.yaml of your application for helmifying them

A YouTube agent built using AutoGen

This repository focuses on the collaborative development of a snake game using the AutoGen framework. Leveraging multiple agents, each with a distinct role, the project aims to design, implement, and test a snake game that is both entertaining and challenging.

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

An OpenAI-compatible API server for AutoGen

💸Agent-based stock analysis and investment strategy 🔷Microsoft Agent Framework vs.🎰AutoGen

A generalist agent that can go online and accomplish complex tasks using semantic-kernel and autogen.

A free, plug-and-play chat UI that works with any agentic framework—including Autogen, LangGraph, ADK, and more.

My implementation of autogen and memgpt agents that work together to create simple scripts and help plan out larger projects.

Lightweight and Flexible Library for Creating Agents and Multi-Agent Conversations 🤖

Auto generate anything

This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.

A Python-based chatbot project built on the autogen and tinygrad foundation, utilizing advanced agents for dynamic conversations and function orchestration, enhancing and expanding traditional chatbot capabilities.

Want to sell desktop software (e.g. DotNet C# winform) and activate it via a key, this is how I did it for free. Use Woocommerce to sell license and enable your WordPress setup to act as a validator API (service)

🤖 基于AutoGen的AI辩论系统 | 🗣️ 支持中文交互 | 🔄 多智能体协作 | 📝 自动记录辩论过程 🤖 AI Debate System based on AutoGen | 🗣️ Chinese Interaction | 🔄 Multi-Agent Collaboration | 📝 Auto Debate Recording

AutoGen Toolsmith simplifies the process of creating and managing tools that can be used by agents in the AutoGen framework.

Lightweight server for developing conversational agents using Microsoft AutoGen 0.4

General-purpose Gen AI Accelerator developed for Insight APAC projects

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

🌟BuroTonic: Revolutionizing Sales and Marketing with AI-Driven Business Intelligence - An adaptive team of virtual agents for precise client and market strategies. 🚀

An AI Agent that is able to control your screen to complste any task

Level generator for VR-game Beat Saber

This project demonstrates function-calling with Python and Ollama, utilizing the Africa's Talking API to send airtime and messages to phone numbers using natural language prompts. Ollama + LLM w/ functions + Natural language = User Interface for non-coders.

✍️ Dive into this repository to explore a treasure trove of code examples, showcasing various methods and approaches for working with LLMs. These examples are inspired by my own learning journey and personal experiences, designed to ignite your passion for AI and machine learning.

Production multi-agent trading platform with rigorous walk-forward validation. TSMOM momentum (1.097 Sharpe) + GEX regime filtering. Interactive CLI, autonomous trade lifecycle, daily scheduler. Alpaca integration. Built on Microsoft AutoGen. Research-driven approach with statistical validation. Educational - not financial advice.

multi agent team with coding and data analysis capability to structure real estate investment plans and help with decision making.

Autogen ContextPlus, User defined AutoGen model_context

Use a LLM to create the ultimate Leek AI for Leek Wars! 🥬

This is the official companion repository for 'The Complete AutoGen AI Agent Blueprint: Developers Guide To Building Multi Agent AI Systems' book. Includes comprehensive code examples, practical implementations, and resources for building multi-agent AI systems using Microsoft's AutoGen framework.

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.

Multi-Agent LLM System for Digital Scam Protection

(〃’▽’〃) Let Agent be DataAnalyst

🌐 Connect people and manage tasks with AILinkX, your all-in-one digital life operating system built on advanced AI technology.

This is an autogen>=0.4 extension for watsonx client integration.

A YAML-driven multi-agent simulation platform for economic and social systems. It combines LLM-backed agents, market microstructure, relation graphs, and world events behind a FastAPI API and a React client.

钉钉智能机器人，支持AI问答、知识库检索、JIRA管理和服务器维护、周报日报总结、快捷创建工单等等