A recent post on CSDN details a novel approach to building enterprise AI Agents by combining the TOGAF enterprise architecture framework with FastGPT, an open-source GPT-like model. The author outlines a step-by-step methodology for requirement analysis, system design, and implementation, emphasizing how TOGAF's structured layers can guide Agent development in complex organizational contexts. This integration is particularly valuable for technical founders and enterprise architects looking to deploy AI solutions that align with business goals and IT governance. The article includes practical tips on data flow, model selection, and deployment strategies, making it a useful reference for teams transitioning from prototype to production. While the code snippets are specific to FastGPT, the architectural principles are broadly applicable.
This article presents a practical framework for developing enterprise-level AI Agents by integrating TOGAF architecture with FastGPT. It covers requirement analysis, design, and deployment, providing a structured approach for teams.