Orchard: An open framework for scalable agentic AI
The same Orchard infrastructure supports software-engineering, web-navigation, and personal-assistant agents, and can train them directly inside real deployment harnesses such as Codex, OpenClaw, and ZeroClaw—letting researchers reuse environments, data pipelines, and evaluation workflows across tasks. Orchard-SWE, Orchard-GUI, and Orchard-Claw demonstrate that relatively small open-weight models can achieve strong results on complex real-world tasks. For example, Orchard-SWE reaches 69.7% on SWE-bench Verified—73.0% with value-model reranking—using only about 3 billion active parameters, approaching frontier systems using more than 10 times larger models.
- ▪The same Orchard infrastructure supports software-engineering, web-navigation, and personal-assistant agents, and can train them directly inside real deployment harnesses such as Codex, OpenClaw, and ZeroClaw—letting researchers reuse envir
- ▪Orchard-SWE, Orchard-GUI, and Orchard-Claw demonstrate that relatively small open-weight models can achieve strong results on complex real-world tasks.
- ▪For example, Orchard-SWE reaches 69.7% on SWE-bench Verified—73.0% with value-model reranking—using only about 3 billion active parameters, approaching frontier systems using more than 10 times larger models.
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| Original publisher | Microsoft Research |
| Canonical URL | https://www.microsoft.com/en-us/research/blog/orchard-an-open-framework-for-scalable-agentic-ai/ |
| Publication time | Mon, 03 Aug 2026 16:00:00 +0000 |
| Retrieval time | 2026-08-03T16:00:46.727Z |
| Last seen | 2026-08-03T16:00:46.727Z |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Orchard: An open framework for scalable agentic AI Published August 3, 2026 By Baolin Peng , Principal Research Manager Wenlin Yao , Principle Researcher Qianhui Wu , Senior Researcher Hao Cheng , Principal Researcher Jianfeng Gao , Technical Fellow & Corporate Vice President Share this page Share on Facebook Share on X Share on LinkedIn Share on Reddit Subscribe to our RSS feed At a glance Orchard is an open-source framework for scalable and cost-effective agentic AI research, built around Orchard Env, a reusable environment service for training and evaluating agents across task domains.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Microsoft Research.
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