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

---
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