Orchard: An open framework for scalable agentic AI

Orchard is an open-source framework designed to facilitate scalable and cost-effective research on agentic AI, supporting various agent types like software-engineering and personal-assistant agents. It includes reusable environment services and training data, enabling researchers to build and evaluate autonomous agents efficiently. Orchard models achieve competitive performance with smaller parameter sizes compared to larger frontier systems.