# Autogen Studio Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/autogen-studio
> Markdown URL: https://aitinkerers.org/technologies/autogen-studio.md
> Technology record last updated: 2026-02-25T10:01:33Z
> Generated: 2026-09-22T19:41:16Z

AutoGen Studio is Microsoft's low-code interface for rapidly prototyping, debugging, and managing complex multi-agent AI workflows built on the open-source AutoGen framework.

This is your control center for multi-agent AI: AutoGen Studio provides a low-code, visual interface for developers to quickly build, test, and share collaborative agent teams. Built on the AutoGen framework, it simplifies the creation of LLM-enabled agents, allowing you to enhance them with specific skills (Python functions) and compose them into complex workflows. Key features include the Team Builder (for declarative JSON/drag-and-drop specification), the interactive Playground (for testing and debugging), and the Gallery (for discovering and importing community components). The tool is explicitly designed for rapid prototyping and research, not for production deployment; for that, you export the workflow as Python code and build directly on the underlying AutoGen framework.

- Official technology site: https://microsoft.github.io/autogen/blog/2023/12/01/AutoGenStudio/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Using Agentic workflows to unlock the performing arts](https://berlin.aitinkerers.org/talks/rsvp_6oF4LAPy1dE)

We are building as part of a team-based AI project, an agentic workflow to scan the web, compile cultural events of all types, and generate a listing using LLMs (GPT-4o-mini and LLama-3-8B) to parse the contents. The aim is to promote live performing arts events and make them more accessible to the general public. Parsing event webpages is complex and currently existing search engines or AI searches are very poor at providing bookable links. Therefore we are investigating the use of fine-tuning to speed up the link extraction, and working on improving generic agentic skills to use by the agents to parse event calendars.

- Event context: AI Tinkerers Berlin - August 22 — 2024-08-22 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_6oF4LAPy1dE

### [Building Multi-Agent Generative-AI Applications with AutoGen](https://palo-alto.aitinkerers.org/talks/rsvp_NlYdJI4dowg)

Generative AI models have made significant progress on tasks such as summarizing passages, extracting entities and generating code etc. However, they currently struggle to address more complex tasks that require multi-step planning, reasoning, and action - for example, building a complete Android app for displaying stock prices. To create helpful AI assistants that can seamlessly handle these complex tasks, it is crucial to develop agents that can act, collaborate with other entities (including humans), and serve as interfaces to the digital world. But how do we define such multi-agent workflows, empower developers to build them, and address the open challenges that arise? AutoGen is a pioneering attempt to answer these questions and offers a generic framework for building multi-agent AI applications. In this talk I will briefly introduce the AutoGen framework and show a demo of AutoGen Studio - a low code interface that enables rapid prototyping of multi-agent applications. AutoGen is an open-source project (MIT License) on GitHub - https://github.com/microsoft/autogen. With over 24k stars, more than 250 contributors, and a growing ecosystem of integrations, AutoGen is a vibrant community of enthusiasts prototyping applications across various industry use cases.

- Event context: AI Tinkerers Palo Alto - Inaugural Meetup — 2024-05-01 — Palo Alto
- Public talk page: https://palo-alto.aitinkerers.org/talks/rsvp_NlYdJI4dowg

## Related Technologies

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- [Microsoft](https://aitinkerers.org/technologies/microsoft) ([Markdown](https://aitinkerers.org/technologies/microsoft.md)) — 3 public demos