Orchard: An open framework for scalable agentic AI
Summary
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research.
Related: OpenAI: Sam Altman :‘AGI in 2026’, just as Models Start to [Mis]Train Themselves · Google: Introducing agentic video understanding with Gemini · Anthropic: Automated researchers can reliably mitigate alignment failures · Meta: An Organizational Second Brain: Building an AI That Learns From Experts · xAI: Ajeya Cotra – "This might be the clearest warning shot we ever get"
Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
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- What does this mean for Copilot?
- Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces…
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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Microsoft Research Blog.