AutoGen-AI
AutoGen-AI's Overview
AutoGen-AI is a revolutionary open-source framework developed and stewarded by Microsoft, designed to simplify the creation, orchestration, and optimization of applications using Large Language Models (LLMs). It empowers developers to build sophisticated multi-agent systems where AI agents can collaborate, reason, and solve complex tasks with enhanced autonomy. AutoGen supports a variety of conversational patterns and agent types, making it a versatile tool for advancing research and practical applications in areas like automated coding, complex problem-solving, content generation, and interactive decision-making systems.
Where is AutoGen-AI's Headquarters?
HQ Function
Core research, development, project leadership, and strategic planning for the AutoGen-AI open-source framework by Microsoft, complemented by global community contributions.
Notable Features:
As a software project with primary stewardship by Microsoft, its 'headquarters' is conceptually anchored at Microsoft's advanced research and development facilities. The project thrives on a distributed, collaborative model leveraging platforms like GitHub.
Work Culture:
The development culture is rooted in Microsoft Research's ethos of innovation, open collaboration, and cutting-edge research. It fosters a dynamic environment that encourages community participation and the pursuit of impactful AI advancements.
HQ Significance:
Primary stewardship by Microsoft provides AutoGen-AI with significant credibility, access to world-class research, engineering resources, and a strategic vision that aligns with the forefront of AI development, ensuring its robustness and relevance.
Values Reflected in HQ: Innovation, openness, collaboration, community-driven development, accessibility in AI, and advancing complex problem-solving capabilities.
Location:
As an open-source project spearheaded by Microsoft, AutoGen-AI has an inherent global presence. Its digital nature means it's accessible worldwide for developers and organizations. Microsoft supports its development through its global network of research and engineering teams. The contributor base for AutoGen-AI is international, reflecting a truly global collaboration in advancing multi-agent LLM applications. Functions supported globally include software development, community support, research collaboration, and adoption across diverse industries and academic institutions.
Street Address:
One Microsoft Way
City:
Redmond
State/Province:
Washington
Country:
USA
AutoGen-AI's Global Presence
Global (Distributed Open Source Community)
Address: Online (e.g., GitHub, Discord)
To leverage global talent, foster diverse perspectives in AI development, and ensure AutoGen-AI meets a wide range of international needs and applications.
Various Microsoft Research Labs Globally
Address: Multiple locations including Cambridge (UK), Beijing (China), Bangalore (India), etc.
To conduct fundamental and applied AI research, drawing on regional expertise and contributing to Microsoft's global AI strategy, which includes projects like AutoGen-AI.
Buying Intent Signals for AutoGen-AI
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Executive Team of AutoGen-AI
As of April 2025, AutoGen-AI' leadership includes:
Investors of AutoGen-AI
AutoGen-AI has been backed by several prominent investors over the years, including:
Executive New Hires/Exits in the Last 12 Months
AutoGen-AI is an open-source project led by a dedicated team within Microsoft Research and supported by a global community. Formal 'executive' hires or exits are not typically announced in the same way as a standalone company. No major public changes in the core project leadership at Microsoft have been noted in the last 12 months. The project continues to evolve under its established research leads.
Technology (Tech Stack) used by AutoGen-AI
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AutoGen-AI Email Formats and Examples
To engage with the AutoGen-AI project, the primary channels are its GitHub repository (for issues, contributions, discussions) and official Microsoft Research communication channels. For contacting specific Microsoft employees involved, standard Microsoft email formats are generally used, though public project forums are preferred for project-related queries.
Microsoft general formats: [first_initial][last_name]@microsoft.com or [first_name].[last_name]@microsoft.com
Format
j.doe@microsoft.com
Example
60%
Success rate
News and media
GitHub - microsoft/autogen • June 7, 2024
AutoGen-AI v0.2.20 Release: Enhanced Agent Runtimes and Group Chat
Microsoft's AutoGen-AI framework released version 0.2.20, introducing significant enhancements including Docker support for agent runtimes, improved group chat functionalities with features like `allowed_or_disallowed_speaker_transitions`, and various bug fixes to bolster the development of complex multi-agent LLM applications....more
LangChain Blog • May 15, 2024
AutoGen-AI and LangSmith Integration for Observable Multi-Agent Applications
The LangChain team announced a new integration between AutoGen-AI and LangSmith, enabling developers to build and monitor multi-agent applications with improved observability. This collaboration facilitates better tracing, debugging, and understanding of complex agent interactions within the AutoGen-AI framework....more
arXiv.org (Cornell University) • April 9, 2024
AutoGen-AI Arena: An Open Platform for Multi-Agent LLM Evaluation and Research
Researchers introduced AutoGen Arena, a platform leveraging the AutoGen-AI framework for the systematic evaluation and research of multi-agent LLM systems. This platform allows for dynamic interaction and comparison of different agent configurations and conversational protocols in shared environments....more
Microsoft Research Blog • February 26, 2024
AutoGen-AI Studio: Enhancing Developer Experience for Building Multi-Agent Applications
Microsoft highlighted AutoGen Studio, a user interface for AutoGen-AI, designed to make it easier for developers of all levels to rapidly prototype and customize multi-agent solutions. It offers a point-and-click, drag-and-drop interface for defining and modifying agent skills, configurations, and workflows....more
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