Definition

ReAct is a method that combines reasoning (thinking) and acting (doing). The AI first explains its thought process, then chooses an action—like using a tool or asking another question. It’s a smart way to solve tasks in steps.

Example

Using ReAct, an AI might say: ‘I need to search this topic first’ and then use a browser tool to find the answer.

How It’s Used in AI

ReAct is popular in AI agents and assistants that need to do complex things like plan, research, or use APIs. Instead of guessing, the model explains each step and takes actions in between. This improves reliability and task completion.

Brief History

ReAct was introduced by Google researchers in 2022. It quickly became a key part of AI agent design, powering systems like LangChain agents, AutoGPT, and CrewAI workflows.

Key Tools or Models

Used in LangChain, AutoGPT, OpenAI Tools, and LLMs like GPT-4 and Claude. It’s often combined with Chain of Thought Reasoning for better planning and logic.

Pro Tip

If your AI app needs to do multi-step tasks, use ReAct to control flow. Think first, act second—that’s the power of this framework.