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!

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

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.

MEGA SDK - Client Access Engine Coverity Scan Build Status MEGA --- The Privacy Company --- is a Secure Cloud Storage provider that protects your data thanks to end-to-end encryption. We call it User Controlled Encryption, or UCE, and all our clients automatically manage it. All files stored on MEGA are encrypted. All data transfers from and to MEGA are encrypted. And while most cloud storage providers can and do claim the same, MEGA is different – unlike the industry norm where the cloud storage provider holds the decryption key, with MEGA, you control the encryption, you hold the keys, and you decide who you grant or deny access to your files. This SDK brings you all the power of our client applications and let you create your own or analyze the security of our products. Are you ready to start? Please continue reading. SDK Contents In this SDK, you can find our low level SDK, that was already released few months after the MEGA launch, a new intermediate layer to make it easier to use and to bind with other programming languages, and example apps for all our currently supported platforms (Windows, Linux, OSX, Android, iOS and Windows Phone). In the examples folder you can find example apps using: The low level SDK: megacli (a powerful command line tool that allows to use all SDK features) megasimplesync (a command line tool that allows to use the synchronization engine) The intermediate layer: An example app for Visual Studio in examples/win32 An example app for Android (using Java bindings based on SWIG) in examples/android An example app for iOS (using Objective-C bindings) in examples/iOS An example app for Windows Phone (using Windows Phone bindings) in examples/wp8 Building If you plan to develop an app using this SDK, please use the stable branch or the last released tarball. The master branch is continuously evolving, could be unstable and could change very often. For platforms with Autotools, the generic way to build and install it is: sh autogen.sh ./configure make sudo make install That compilation will include the examples using our low level SDK (megacli and megasimplesync) You also have specific build instructions for OSX (doc/OSX.txt) and FreeBSD (doc/FreeBSD.txt) and a build script to automatically download and build the SDK along with all its dependencies (contrib/build_sdk.sh) For other platforms, or if you want to see how to use the new intermediate layer, the easiest way is to get a smooth start is to build one of the examples in subfolders of the examples folder. All these folders contains a README.md file with information about how to get the project up and running, including the installation of all required dependencies. Usage The low level SDK doesn't have inline documentation yet. If you want to use it, please check one of our example apps (examples/megacli, examples/megasimplesync). The new intermediate layer has been documented using Doxygen. The only public header that you need to include to use is include/megaapi.h. You can read the documentation in that header file, or download the same documentation in HTML format from this link: https://mega.co.nz/#!c5FzhBJL!HUVjsOJTylwkmXPZ0AxT66Wuu4YvZInyHbWGYgvTHt4 Additional info Platform Dependencies Dependencies are different for each platform because the SDK uses generic interfaces to get some features and they have different implentations: Network (cURL with OpenSSL/c-ares or WinHTTP) Filesystem access (Posix or Win32) Graphics management (FreeImage, QT or iOS frameworks) Database (SQLite or Berkeley DB) Threads/mutexes (Win32, pthread, QT threads, or C++11) POSIX (Linux/Darwin/BSD/OSX ...) Install the following development packages, if available, or download and compile their respective sources (package names are for Debian and RedHat derivatives, respectively): cURL (libcurl4-openssl-dev, libcurl-devel), compiled with --enable-ssl c-ares (libc-ares-dev, libcares-devel, c-ares-devel) OpenSSL (libssl-dev, openssl-devel) Crypto++ (libcrypto++-dev, libcryptopp-devel) zlib (zlib1g-dev, zlib-devel) SQLite (libsqlite3-dev, sqlite-devel) or configure --without-sqlite FreeImage (libfreeimage-dev, freeimage-devel) or configure --without-freeimage pthread Optional dependency: Sodium (libsodium-dev, libsodium-devel), configure --with-sodium Filesystem event monitoring: The provided filesystem layer implements the Linux inotify and the MacOS fsevents interfaces. To build the reference megacli example, you may also need to install: GNU Readline (libreadline-dev, readline-devel) For Android, we provide an additional implementation of the graphics subsystem using Android libraries. For iOS, we provide an additional implementation of the graphics subsystem using Objective C frameworks. Windows To build the client access engine under Windows, you'll need the following: A Windows-native C++ development environment (e.g. MinGW or Visual Studio) Crypto++ zlib (until WinHTTP learns how to deal with Content-Encoding: gzip) SQLite or configure --without-sqlite FreeImage or configure --without-freeimage pthreads (MinGW) Optional dependency: Sodium or configure --with-sodium To build the reference megacli.exe example, you will also need to procure development packages (at least headers and .lib/.a libraries) of: GNU Readline/Termcap Folder syncing In this version, the sync functionality is limited in scope and functionality: There is no locking between clients accessing the same remote folder. Concurrent creation of identically named files and folders can result in server-side dupes. Syncing between clients with differing filesystem naming semantics can lead to loss of data, e.g. when syncing a folder containing ABC.TXT and abc.txt with a Windows client. On POSIX platforms, filenames are assumed to be encoded in UTF-8. Invalid byte sequences can lead to undefined behaviour. Local filesystem items must not be exposed to the sync subsystem more than once. Any dupes, whether by nesting syncs or through filesystem links, will lead to unexpected results and loss of data. No in-place versioning. Deleted remote files can be found in //bin/SyncDebris (only when syncing to the logged in account's own cloud drive - there is no SyncDebris facility on syncs to inbound shares), deleted local files in a sync-specific hidden debris folder located in the local sync's root folder. No delta writes. Changed files are always overwritten as a whole, which means that it is not a good idea to sync e.g. live database tables. No direct peer-to-peer syncing. Even two machines in the same local subnet will still sync via the remote storage infrastructure. No support for unidirectional syncing (backup-only, restore-only). Syncing to an inbound share requires it to have full access rights. megacli on Windows The megacli example is currently not handling console Unicode input/output correctly if run in cmd.exe. Filename caveats: Please prefix all paths with \\?\ to avoid the following issues: The MAX_PATH (260 character) length limitation, which would make it impossible to access files in deep directory structures Prohibited filenames (con/prn/aux/clock$/nul/com1...com9/lpt1...lpt9). Such files and folders will still be inaccessible through e.g. Explorer! Also, disable automatic short name generation to eliminate the risk of clashes with existing short names.

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.

Autogen is a framework to build multi-conversational agents, This repo contains some of the code I have experimented with. This code might have some bugs. But the idea is to explore the framework rather than writing sophisticated code. For more examples explore the official Autogen repo

Jupyter Notebooks exploring autogen

This repository showcases a test project using AutoGen to explore how agent collaboration can automate the process of performing a literature review.

A library for machine-learned choice scaffolding in arbitrary programs.

A collection of Jupyter notebooks, Streamlit apps, and Flask applications demonstrating various use cases and implementations of AutoGen Agents. This repository serves as a practical resource for readers to explore and implement use cases discussed in my blogposts.

A multi-agent system built with AutoGen and LlamaIndex to explore Solana blockchain instructions intelligently.

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.

MCP (Model Context Protocol) is a research and development project aimed at integrating LangGraph and AutoGen Agent with the Model Context Protocol (MCP) framework. This project focuses on exploring innovative ways to leverage advanced AI models and tools to streamline workflows, enhance automation, and enable intelligent decision-making.

Explore Autogen

Exploring AutoGen

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A hands-on journey into Microsoft Autogen — exploring multi-agent conversations, agent architecture, and LLM integrations. Includes daily notes, code experiments, and insights from the official Autogen documentation and tutorials.

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Playground for exploring autogen

Repository to explore AutoGen framework

To learn and explore Autogen Framework

In this repository i will explore autogen

Exploring Healthcare Chatbot with Multi-Agent Collaboration Using AutoGen!

Exploring Microsoft's Autogen Agentic framework with Gemini, GPT, and custom tool integrations

Exploring ACP Protocol connect agno,autogen,beeai,langchain and communicate with each agents

This is repository where i explored production level complete end to end Autogen Framework

Exploring Agentic AI using LLMs, CrewAI, LangGraph, AutoGen and MCP by building real-world projects.

This repo is for exploring the usage of autogen and building ai agents using the framework.

This is a package that explores using Autogen to build multi-agent systems and embed them into our existing workflows.

Collection of AI projects exploring RAG, LangChain, LangGraph, AutoGen, MCP, and A2A architectures for building intelligent LLM-powered and agent-based systems.