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

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Experiments with Autogen Framework (https://github.com/microsoft/autogen)

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

A group of experiments using autogen

Docker app testing out capabilities of Microsoft's Autogen alongside Llama Index

Useful components and experiments to help AutoGen devs

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Examples of using AutoGen agents and agentic frameworks. Requires Docker container.

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.

Autogen experiments and playground

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Experiments with Microsoft's AutoGen

Repository to experiment with and share workflows that can be used to automate data analysis through Autogen.

An Illustrated Novel experiment on orquestration of LLM agents using the autogen core framework to test capabilities of agentic creative workflows on small models.

Autogen Experiments

Experiments with Autogen https://github.com/microsoft/autogen

Experiments with LLM agents using Microsoft's AutoGen

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

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

My learning lab for AI architecture - Python scripts, Azure AI experiments, and AutoGen projects

A collection of agentic AI systems and experiments using LangChain, CrewAI, OpenAI SDK, AutoGen, n8n, and MCP

Agent-Creator is a framework for building and experimenting with multi-agent systems powered by Microsoft’s AutoGen. The project demonstrates how autonomous AI agents can collaborate, communicate, and solve tasks in a simulated environment. The main file world.py acts as the orchestrator, defining agent behaviors, interactions, and workflows.

Autogen Experiments

Experiments with Microsoft's Autogen AI code generation tool

Experiments with autogen

Experiments using autogen