Microsoft Research· Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Jianfeng Gao·· 2026-08-04SelectedAI score73
Orchard: An open framework for scalable agentic AI
Orchard: An open framework for scalable agentic AI
AI introduction
Microsoft Research has released Orchard, an open-source agent framework built around Orchard Env, a reusable Kubernetes-based environment service supporting training and evaluation of software engineering, web navigation, and personal assistant agents, with end-to-end training directly inside real harnesses such as Codex, OpenClaw, and ZeroClaw. Orchard-SWE reaches 69.7% on SWE-bench Verified with about 3B active parameters.
Why it matters
Microsoft has open-sourced a reusable agent environment layer along with training recipes for three small models, letting readers gauge what small models can achieve on real tasks.
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Source: Microsoft Research · microsoft.com