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Microsoft Research Blog
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OPEN SOURCE · SOURCE-BACKED
95% signal strength
Orchard: Open-Source Framework for Scalable AI Agents
Orchard is an open-source framework designed to help researchers train and evaluate AI agents across various tasks. It simplifies development and supports strong performance even with smaller models by reusing infrastructure.
Why it matters: By reducing complexity and enabling infrastructure reuse, Orchard facilitates scalable AI agent research and accelerates experimentation. This can help advance agentic AI capabilities more efficiently within the research community.
Why this is here: This signal is recent, source-backed, and connected to activity readers are already following in AI Agents.