NEWS · RESEARCH · #210
Orchard: An open framework for scalable agentic AI
Orchard is an open-source framework from Microsoft Research intended for the research community to train and evaluate AI agents across different task types. The project is presented as reducing infrastructure complexity and enabling reuse of the same tooling to support strong performance even with smaller models.
KEY POINTS
- Orchard is an open-source framework from Microsoft Research intended for the research community to train and evaluate AI agents across different task types.
- The project is presented as reducing infrastructure complexity and enabling reuse of the same tooling to support strong performance even with smaller models.
- This matters because a reusable, open framework can lower the barrier to experimenting with and comparing agentic AI approaches across tasks and models.
WHY IT MATTERS
This matters because a reusable, open framework can lower the barrier to experimenting with and comparing agentic AI approaches across tasks and models.