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

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.

Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh

Run MemGPT-AutoGEN-Local LLM Together

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

This repository will have different projects using AutoGen and Tutorials

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!

🚀Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!

Neuralink for your AI Agents - LangChain - Autogen - CrewAI

Central repository for all LLM development

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

AutoGen Visualized - Visual Tools for Multi-Agent Development.

Automatically generate boilerplate license comments.

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.

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.

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

🌟PolyGPT: An Overview of Agent-Based System Architecture for Autonomous Business Operations

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

🌟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.

Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.