agent/papers/items/2026-2605-15040-orchard-an-open-source-agentic-modeling-framework.md

Paper: Orchard: An Open-Source Agentic Modeling Framework

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type: paper title: "Orchard: An Open-Source Agentic Modeling Framework" authors: Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Xiao Yu, Rui Yang, Tao Ge, Alessandro Sordoni, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.15040 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-14 updated_at: 2026-05-21 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• computer-use
• planning
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 20 collection_queries: autonomous-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: agent-evaluation, coding-agent, computer-use, planning, reasoning, tool-use
• arXiv categories: cs.AI, cs.CL
• collection score: 20

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.15040