agent/papers/items/2025-2509-10769-agentarch-a-comprehensive-benchmark-to-evaluate-agent-architectures-in-enterpris.md

Paper: AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in Enterprise

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type: paper title: "AgentArch: A Comprehensive Benchmark to Evaluate Agent Architectures in Enterprise" authors: Tara Bogavelli, Roshnee Sharma, Hari Subramani year: 2025 venue: arXiv url: https://arxiv.org/abs/2509.10769 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-09-13 updated_at: 2026-01-06 status: queued relevance: high topics:

• agent-evaluation
• memory
• multi-agent
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL
• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, memory, multi-agent, tool-use, workflow-agent
• arXiv categories: cs.AI, cs.CL, cs.MA
• collection score: 18

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/2509.10769