ReAct Pattern
Master the ReAct pattern to build intelligent agents that synergize reasoning and acting
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0 / 5 completedWhat is the ReAct Pattern?
ReAct stands for Reasoning + Acting. It's a powerful pattern where AI agents interleave reasoning traces with action execution, creating a dynamic loop: Think → Act → Observe → Think → Act... This synergy allows agents to adapt to new information in real-time, making them far more capable than traditional approaches.
Instead of planning everything upfront or acting blindly, ReAct agents maintain a dialogue between thought and action, adjusting their strategy based on what they observe at each step.
Interactive: See ReAct in Action
Toggle between traditional and ReAct approaches to understand the difference
Single-Shot Approach
Core Components of ReAct
Reasoning (Think)
Generate explicit thoughts about the current state, what's needed, and what to do next
Acting (Do)
Execute specific actions like searching, calculating, calling APIs, or interacting with tools
Observing (See)
Receive feedback from actions—results, errors, or new information that informs next steps
Looping (Repeat)
Continue the cycle until the task is complete, adapting strategy based on observations