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arxiv:2604.00073

Terminal Agents Suffice for Enterprise Automation

Published on Mar 31
· Submitted by
Patrice Bechard
on Apr 2
#1 Paper of the day
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Abstract

Simple terminal-based coding agents using programmatic interfaces and foundation models can effectively perform enterprise tasks comparable to or better than complex tool-augmented agents.

AI-generated summary

There has been growing interest in building agents that can interact with digital platforms to execute meaningful enterprise tasks autonomously. Among the approaches explored are tool-augmented agents built on abstractions such as Model Context Protocol (MCP) and web agents that operate through graphical interfaces. Yet, it remains unclear whether such complex agentic systems are necessary given their cost and operational overhead. We argue that a coding agent equipped only with a terminal and a filesystem can solve many enterprise tasks more effectively by interacting directly with platform APIs. We evaluate this hypothesis across diverse real-world systems and show that these low-level terminal agents match or outperform more complex agent architectures. Our findings suggest that simple programmatic interfaces, combined with strong foundation models, are sufficient for practical enterprise automation.

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Terminal-based coding agents using direct API access can match or outperform GUI and tool-augmented agents for enterprise automation, suggesting strong foundation models with simple programmatic interfaces are often sufficient.

Interesting breakdown of this paper on arXivLens: https://arxivlens.com/PaperView/Details/terminal-agents-suffice-for-enterprise-automation-3452-111f1726
Covers the executive summary, detailed methodology, and practical applications.

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