终端代理足以实现企业自动化

摘要

近年來，數位平台自主執行企業級任務的智慧體開發日益受到關注。現有探索方向包括基於模型上下文協議（MCP）等抽象架構的工具增強型智慧體，以及透過圖形介面操作的網頁智慧體。然而考慮到其成本與運維負擔，這類複雜智慧體系統的必要性仍存疑。我們主張，僅配備終端機和檔案系統的編碼智慧體透過直接調用平台API，反而能更有效地解決諸多企業任務。透過對多樣化真實系統的實證評估，我們發現這類底層終端智慧體的表現可媲美甚至超越複雜架構的智慧體。研究結果表明，結合強大基礎模型的簡潔程式化介面，已能滿足實際企業自動化需求。

English

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.

终端代理足以实现企业自动化

Terminal Agents Suffice for Enterprise Automation

摘要

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