pyautogen's profile picture. Free. Cross-language. Open-source. An ecosystem for AI agent research and applications from @Microsoft

AutoGen

@pyautogen

Free. Cross-language. Open-source. An ecosystem for AI agent research and applications from @Microsoft

Can't wait to see what you all build!

AI Economics depends on efficient token factories and highly performant agent frameworks that deliver enterprise outcomes! That is why we are excited about Microsoft Agent Framework. You can now build, orchestrate, and scale multi-agent systems in Azure AI Foundry using this…



AutoGen reposted

🚀🚀 Earlier this summer our work on @pyautogen graduated to product & now @Microsoft has combined AutoGen and Semantic Kernel. What this means for agent developers is one single SDK that combines the best of both worlds and learnings. Sp congrats to @ekzhu and @vykthur!

Announcing Microsoft Agent Framework in Azure AI Foundry. As agentic AI adoption accelerates, managing multi-agent systems is harder than ever. The framework helps devs build, observe, and govern responsibly—at scale. Learn more: msft.it/6015svqa3



AutoGen reposted

The Semantic Kernel and @pyautogen team have worked hard over the last few months to bring together the best of both frameworks for a much stronger developer experience (and to simplify the choice!). Today we are excited to release Agent Framework in public preview and get…

AI Economics depends on efficient token factories and highly performant agent frameworks that deliver enterprise outcomes! That is why we are excited about Microsoft Agent Framework. You can now build, orchestrate, and scale multi-agent systems in Azure AI Foundry using this…



Interested in the technical details behind Magentic-UI? Our report is now available on arXiv: arxiv.org/abs/2507.22358

pyautogen's tweet image. Interested in the technical details behind Magentic-UI? Our report is now available on arXiv: arxiv.org/abs/2507.22358

🚀 AutoGen v0.6.4 is out! Shout-out to @github Copilot for helping author these new features! 🧠 GraphFlow now retains execution state after termination, just like other group chats. Resets only when the graph fully completes. ⚙️ New parameter_override in Workbenches for…


AutoGen reposted

One of the best decision we've made early on was to NOT use layers of abstraction and go native clients route instead. The second best decision was to use @pyautogen to build all of our workflows on top of. It hits all the right pain points running in distributed environments…


AutoGen reposted

Curious how to build agents that can control a browser? I just wrote up a full tutorial on how to do it completely from scratch and with Magentic-UI. My goal is to demystify browser-use and CUA agents, it's fun to follow along! Link: husseinmozannar.github.io/#/blog/web_age… Jupyter notebook:…

HsseinMzannar's tweet image. Curious how to build agents that can control a browser? I just wrote up a full tutorial on how to do it completely from scratch and with Magentic-UI. My goal is to demystify browser-use and CUA agents, it's fun to follow along!

Link: husseinmozannar.github.io/#/blog/web_age…

Jupyter notebook:…

AutoGen reposted

My recent talk on challenges in developing human-centered agents is now available online! It provides an HCI perspective of our learning from developing @pyautogen youtube.com/watch?v=O5jSX8…

bansalg_'s tweet card. Why Human-Centered AI Agents Are Hard to Build – And What We’ve...

youtube.com

YouTube

Why Human-Centered AI Agents Are Hard to Build – And What We’ve...


AutoGen reposted

The AI landscape is buzzing with "super agents"! 🤖 But how do we stay in the driver's seat? I went hands-on with Microsoft's research prototype, Magentic-UI from @pyautogen, to see how it helps orchestrate these powerful tools while keeping humans in control. Check out the demo!…


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