Microsoft Research introduces Orchard, an open-source framework for scalable and cost-effective agentic AI research. Its reusable Orchard Env service supports training and evaluation across software engineering, web navigation, and personal-assistant tasks, while allowing agents to operate inside deployment harnesses such as Codex, OpenClaw, and ZeroClaw. Orchard-SWE reportedly achieves 69.7% on SWE-bench Verified, or 73.0% with value-model reranking, using roughly 3 billion active parameters. The project also releases training data and evaluation workflows intended to support broader research on open agent systems.
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