Analysis
This article dives into the exciting shift from basic chatbots to sophisticated AI Agents, focusing on the LangGraph framework. It provides a clear and accessible explanation of how to build AI that performs actions, making it a valuable resource for anyone wanting to build more capable AI applications.
Key Takeaways
- •The article contrasts the functionality of Chatbots (text-based responses) with Agents, which are designed to take action and complete tasks.
- •It presents CrewAI and LangGraph as the leading frameworks for Agent development, highlighting their different approaches.
- •LangGraph is explained using the relatable analogy of an automated factory line, illustrating the flow of data and actions.
Reference / Citation
View Original"In 2026, the mainstream has shifted to 'Agent Orchestration,' where AI is integrated into a team as one of several specialists, and is assigned roles."