A Survey on Agent Workflow -- Status and Future

• URL: http://arxiv.org/abs/2508.01186v1
• Date: Sat, 02 Aug 2025 04:15:30 GMT
• Title: A Survey on Agent Workflow -- Status and Future
• Authors: Chaojia Yu, Zihan Cheng, Hanwen Cui, Yishuo Gao, Zexu Luo, Yijin Wang, Hangbin Zheng, Yong Zhao,
• Abstract summary: This survey provides a comprehensive review of agent workflow systems.<n>We classify existing systems along two key dimensions: functional capabilities and architectural features.<n>We highlight common patterns, potential technical challenges, and emerging trends.
• Score: 2.817843718857682
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the age of large language models (LLMs), autonomous agents have emerged as a powerful paradigm for achieving general intelligence. These agents dynamically leverage tools, memory, and reasoning capabilities to accomplish user-defined goals. As agent systems grow in complexity, agent workflows-structured orchestration frameworks-have become central to enabling scalable, controllable, and secure AI behaviors. This survey provides a comprehensive review of agent workflow systems, spanning academic frameworks and industrial implementations. We classify existing systems along two key dimensions: functional capabilities (e.g., planning, multi-agent collaboration, external API integration) and architectural features (e.g., agent roles, orchestration flows, specification languages). By comparing over 20 representative systems, we highlight common patterns, potential technical challenges, and emerging trends. We further address concerns related to workflow optimization strategies and security. Finally, we outline open problems such as standardization and multimodal integration, offering insights for future research at the intersection of agent design, workflow infrastructure, and safe automation.

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