Comparison
Multi-Agent vs ReAct
Multi-Agent and ReAct are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Multi-Agent
Multi-Agent comes up when the question is fundamentally about agents & tools.
A planner agent + executor agents in Claude Code.
When you would reach for ReAct
ReAct comes up when the question is fundamentally about agents & tools.
A search-augmented assistant: Thought, Search, Observation, Thought, Answer.
Frequently asked
What is the difference between Multi-Agent and ReAct?
Multi-Agent: A multi-agent system uses several LLM agents that talk to each other — a manager and workers, a debate, a pipeline — instead of a single agent doing everything. ReAct: ReAct is a prompting pattern that interleaves reasoning ("Thought:") with actions ("Action:") and observations ("Observation:"). It is the foundation of most tool-using agents.
When should I use Multi-Agent vs ReAct?
Multi-Agent is the right concept when you are focused on agents & tools. ReAct applies when you are focused on agents & tools.
Are Multi-Agent and ReAct the same thing?
No. Multi-Agent is agents & tools; ReAct is agents & tools. They are related but address different parts of the AI stack.