CrewAI’s architecture goes far beyond static workflows; it supports intelligent, context-aware, and collaborative AI agents. Translated fromHow CrewAI Enables AI Agents as Collaborative Team Members, author Janakiram MSV. In the first part of this series, we introduced CrewAI and mapped its features against key attributes of AI agents. Now, we will take a closer look … Read more
In the second part, we explored the principles of modular design. We discussed strategies for decomposing the Agent system by borrowing the bounded context concept from microservices to determine the scope of each sub-Agent. We also hinted that modularization introduces a need for a well-thought-out interaction model between agents and sub-Agents. Today, we will delve … Read more
How to build an effective operating AI Agent system? And how to identify potential issues during development that could lead to significant trouble after deployment? To answer these questions, you need to break the Agent system down into three parts: tools, reasoning, and action. Each layer has its own challenges. An error in one layer … Read more