Net Good IndexSubmit a correction

Benefit Ledger · provisional · Other

Orchard: An open framework for scalable agentic AI

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.

3 Aug 2026Tier 1 UsefulMethodology 0.1

Current score

+0.00

1 base · Useful (tier 1 of 5, 1 pts)
× 0.1000 attribution · Minor documented assistance
× 0.1000 evidence · Firsthand or social claim
× 0.2000 realization · Proposed
× 0.5000 durability
Event-level product before credit split: 0.00

Auto-published from news ingest as a provisional placeholder. Score is conservative until a named release is identified and the record is rescored.

What happened

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.

Model attribution

Unspecified AI system
Version unspecified
+0.00

Unspecified

Unspecified system mentioned or implied by a news item. Remap to a named release when identified.

News ingest does not infer a named model from the publisher alone. Attribution stays unspecified until a release is identified.

Attribution 0.1000 · Credit share 100% · Unknown

Claims

  • Orchard: An open framework for scalable agentic AI

    outcome · supported

Sources

primary sources

Revision history

  • 13 Sep 2026 · 0.00 0.00

    Auto-published from news ingest without human review.