# Autogen Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/autogen
> Markdown URL: https://aitinkerers.org/technologies/autogen.md
> Technology record last updated: 2026-02-25T10:01:33Z
> Generated: 2026-09-20T16:36:19Z

AutoGen (Microsoft) is the open-source framework for building multi-agent AI systems: agents collaborate via conversation to solve complex tasks.

AutoGen is Microsoft's open-source framework for building agentic AI systems: it orchestrates multiple, customizable agents (LLMs, humans, tools) to converse and collaborate autonomously on complex tasks. Its core strength is simplifying the orchestration, automation, and optimization of complex Large Language Model (LLM) workflows. The framework provides a layered, extensible design, supporting cross-language compatibility (Python, .NET) and event-driven workflows for distributed, scalable agent networks. Developers leverage AutoGen to build diverse applications, including coding, mathematics, and business process automation, effectively creating a team of digital experts.

- Official technology site: https://github.com/microsoft/autogen
- Public AI Tinkerers demos and talks: 6
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Claude Code as an api](https://la.aitinkerers.org/talks/rsvp_1gHBwmYPbT4)

Show how to work with an open sourced version of claude code for use with ollama to generate runnable code

- Event context: January 29th - LA AI Tinkerers Meetup & Demos (w/ Special Guest Alibaba WAN) — 2026-01-30 — Los Angeles
- Public talk page: https://la.aitinkerers.org/talks/rsvp_1gHBwmYPbT4

### [Follow the money in Congress!](https://sf.aitinkerers.org/talks/rsvp_aGiUbLw-8lk)

I will be presenting a demo of a multi-agent AI system that I connected to various Congressional data sources, in order to semantically infer the most involved politicians in specific Congressional bills, big corporations are known to have lobbied for.

- Event context: Coding Agents Stack Share — 2025-09-11 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_aGiUbLw-8lk

### [AllyTime – AI supported psychological coaching](https://hamburg.aitinkerers.org/talks/rsvp_ydfYfN4Qm2c)

AllyTime revolutionizes psychological coaching by ensuring it's accessible to everyone immediately via voice and text. At the heart of our service is an AI assistant named "Ally," which enhances our platform's functionality. AllyTime leverages AI for a range of tasks: from transcribing and summarizing voice messages to generating detailed coaching summaries and facilitating interactive chats. Our AI-driven approach not only streamlines operational processes but also elevates the quality of counseling provided, all while prioritizing user privacy.

- Event context: AI Tinkerers Hamburg #2 - February 20 — 2025-02-20 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_ydfYfN4Qm2c

### [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

### [Developing Travel Applications with Mutli-Agent Frameworks - It sounds cool but can it work?](https://seattle.aitinkerers.org/talks/rsvp_-12HEWjpF6Y)

The multi-agent toolkit space is exploding with a variety of competing offerings. Will these technologies usher in a new application development paradigm? What are the strengths and weaknesses of these nascent toolkits? Are they mature enough to support production apps? Hear from a developer who has tried several of these toolkits, building POCs in an attempt to understand if they are mature enough to support real-world travel applications.

- Event context: AI Tinkerers Seattle - April 2024 Meetup — 2024-04-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_-12HEWjpF6Y

## Related Technologies

- [Autogen Studio](https://aitinkerers.org/technologies/autogen-studio) ([Markdown](https://aitinkerers.org/technologies/autogen-studio.md)) — 2 public demos
- [LangGraph](https://aitinkerers.org/technologies/langgraph) ([Markdown](https://aitinkerers.org/technologies/langgraph.md)) — 67 public demos
- [Android](https://aitinkerers.org/technologies/android) ([Markdown](https://aitinkerers.org/technologies/android.md)) — 11 public demos
- [API](https://aitinkerers.org/technologies/api) ([Markdown](https://aitinkerers.org/technologies/api.md)) — 19 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 214 public demos
- [Congress API](https://aitinkerers.org/technologies/congress-api) ([Markdown](https://aitinkerers.org/technologies/congress-api.md)) — 1 public demo
- [CrewAI](https://aitinkerers.org/technologies/crewai) ([Markdown](https://aitinkerers.org/technologies/crewai.md)) — 15 public demos
- [Fine-tuning](https://aitinkerers.org/technologies/fine-tuning) ([Markdown](https://aitinkerers.org/technologies/fine-tuning.md)) — 20 public demos
- [GitHub](https://aitinkerers.org/technologies/github) ([Markdown](https://aitinkerers.org/technologies/github.md)) — 74 public demos
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- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
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