Adam Fourney
Senior Principal Researcher at Microsoft Research; author of MarkItDown and first author of Magentic-One
- Senior Principal Researcher, Human-AI eXperiences (HAX) group, AI Frontiers, Microsoft Research127
Adam Fourney is a Senior Principal Researcher in the Human-AI eXperiences (HAX) group at Microsoft Research, where Fourney builds and studies AI agents and how they collaborate with people. Fourney is the listed author of MarkItDown, Microsoft's open-source Python utility for converting files to Markdown for use with language models, and works on AutoGen, Magentic-One and Magentic-UI. Fourney is the first author of the Magentic-One paper (2024) and of Microsoft Research's January 2025 post introducing AutoGen v0.4.123467
Career
Fourney earned master's and doctoral degrees at the University of Waterloo before joining Microsoft. Fourney previously worked on web search, intelligent assistants and other information systems, studying the roles they play in supporting people's tasks. Fourney now works in the Human-AI eXperiences group at Microsoft Research AI Frontiers on AI agents and how they work alongside people.12
Agents and tools
Fourney is first author of the November 2024 Magentic-One paper, which describes a multi-agent system for complex tasks, and first-listed author of the January 2025 Microsoft Research post on AutoGen v0.4, a redesign of the AutoGen agent framework for scale, extensibility and robustness. Fourney's site also lists Magentic-UI, an experimental human-centered web agent.671
MarkItDown, whose package metadata names Fourney as author, was first published to PyPI in November 2024 and continues to receive releases in 2026. Its README describes support for converting PDF, PowerPoint, Word, Excel and image files, among others, to Markdown.354
Work
MarkItDownOpen-source code
Listed as the author in the markitdown package's pyproject.toml; the utility converts PDF, PowerPoint, Word, Excel and other files into Markdown for language-model pipelines.342
AutoGenOpen-source code
Lists AutoGen among current projects and was first-listed author of Microsoft Research's January 2025 post introducing AutoGen v0.4.217
Magentic-One (external site: arxiv.org)Published research
First author of the paper describing Magentic-One, a generalist multi-agent system for solving complex tasks.6
Career timeline
Nov 7, 2024
Posted the Magentic-One paper on a generalist multi-agent system as first author.6
Nov 13, 2024
MarkItDown's first package release was published to PyPI.5
Jan 14, 2025
Published Microsoft Research's introduction of AutoGen v0.4 as first-listed author.7
Oct 21, 2026
MarkItDown version 0.1.9 was published to PyPI.5
Related people
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- Charles LamannaAlso at Microsoft
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