When building intelligent assistants that combine reasoning capabilities with natural interaction experiences, the ReAct framework has emerged as a classic paradigm in the large language model Agent domain. With its closed-loop reasoning logic of "Thought-Action-Observation," ReAct provides a structured approach for AI agents to tackle complex tasks systematically.Conversational ReAct, as LangChain's dialogue-oriented variant of the ReAct architecture, takes this foundation further by seamlessly integrating reasoning and decision-making abil...
Posts tagged ReAct Pattern
Building a Claude Agent from Scratch: Tools, Execution, and the Agent Loop
IntroductionRecently, I discovered an invaluable resource called Learn Claude Code. Despite its name suggesting a guide to using Claude Code, it actually teaches you how to build a nano Claude Code-like agent from the ground up, adding one mechanism at a time through twelve progressive stages.Let me share the link again: https://learn.shareai.run/zh/The website opens with a refreshingly direct statement: All AI programming agents share the same fundamental loop—call the model, execute tools, return results. Production-grade systems layer str...