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📢Introducing Magentic-One, a generalist 5-agent multi-agent system for solving open-ended web- and file-based tasks. 🤖🤖🤖🤖🤖 Magentic-One represents a significant step towards agents that can complete tasks that people encounter in their daily lives and can achieve strong

AutoGen is trending on GitHub this week! Again, almost a year after we released it. Microsoft Research @microsoft #AutoGen #MagenticOne #opensource

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📢As part of our ongoing work to improve AutoGen, we have been rewriting AutoGen Studio. It is still early but here are some of the new features enabled by the AutoGen 0.4 preview API - Real-time agent updates streaming to the frontend - Run control: You can now stop agents

To our collaborators & community: We’ve seen questions about AutoGen forks/clones vs. the official project. Here's a summary of the latest. Please share with others. - The official repo is github.com/microsoft/auto…. - We're actively working on AutoGen v0.2, with v0.4 innovations

Thanks to everyone who joined the AutoGen workshop at #NeurIPS2024! We will also be at the Microsoft booth on Wed/Thurs: Dec 11: 9:00 AM - 10:00 AM Dec 12: 3:00 PM - 4:00 PM We are hiring strong FTEs (both researchers and engineers) and interns.

Join the new AutoGen Discord community! 🎉 Connect with fellow open source developers and maintainers. 👉 aka.ms/autogen-discord #AutoGen #OpenSourceAgents

New open-source Python package: markitdown This package makes it easy to convert various files to Markdown (e.g., for indexing, text analysis, etc.). #AutoGen uses it to enable file handling in SOTA agentic systems like #MagenticOne. The API is super simple. cc Adam Fourney

Surprise #NeurIPS2024 drop for y'all: phi-4 available open weights and with amazing results!!! Tl;dr: phi-4 is in Llama 3.3-70B category (win some lose some) with 5x fewer parameters, and notably outperforms on pure reasoning like GPQA (56%) and MATH (80%).

Was great to meet everyone who stopped by!

We are now also available on Discord!

Come join us in Discord to discuss the upcoming AutoGen 0.4 and MagenticOne!

It’s great to be part of an amazing team!!

Join us for a talk with Globant and AutoGen tomorrow!

I spent essentially my whole 2024 on AutoGen 0.4 and am so proud of what we produced. This was a huge effort by many, many people. Check out the authors and acknowledgements in the blog post. We have an amazing team!

Working on AutoGen, one of my favorite design principles is: "make it easy for users to do hard things while keeping it easy for users to do easy things." Many agent frameworks introduce complexity in order to handle hard things, but at the same time makes easy things really

Real, deeply integrated async is one of the core features of AutoGen 0.4. It really unlocks many opportunities.

Excited to represent the AutoGen team at this year's Research Forum! Sign up for my talk below! This is joint work with many incredible colleagues especially Eric Zhu Jack Gerrits Victor Dibia Adam Fourney Hussein Mozannar Saleema Amershi Ahmed Awadallah Rafah Hosn bigmiao and many

Excited to share our #CHI2025 paper: "Interactive Debugging and Steering of Multi-Agent AI Systems"! As 🤖 AI agent teams 🤖 powered by LLMs take on complex tasks, debugging and steering these agents becomes crucial. How can developers better understand AI agent behavior?

We've been working on this for some time, so I am excited to see this released!