ReAct

An agent pattern that interleaves reasoning and acting: the model thinks, takes a tool action, observes the result, and reasons again — looping to a goal.

ReAct is the loop the agentic web is built to serve: every markdown twin, JSON API and callable tool is an 'action' an agent takes between reasoning steps.

term

ReAct

category

core

short_def

An agent pattern that interleaves reasoning and acting: the model thinks, takes a tool action, observes the result, and reasons again — looping to a goal.

long_def

ReAct (Reason + Act) combines chain-of-thought with tool use so an agent alternates 'thought' and 'action' steps: it reasons about what to do, calls a tool, reads the observation, and updates its plan. It is the canonical loop most tool-using agents implement.

see_also

agentic-loop tool-use chain-of-thought

etymology_origin

— verify-against-primary-at-build ↗ https://arxiv.org/abs/2210.03629 — 'ReAct' introduced by Yao et al., 2022 (Princeton / Google)

related_to

agentic-loop tool-use chain-of-thought ai-agent

contrast_with

Unlike plain chain-of-thought, which only reasons, ReAct also acts between reasoning steps — grounding each thought in a real observation from a tool.

example

A ReAct agent answering a live question reasons ('I need current data'), calls a search tool, reads the result, then reasons again before answering.

source

https://arxiv.org/abs/2210.03629

status

active

why_it_matters

ReAct is the loop the agentic web is built to serve: every markdown twin, JSON API and callable tool is an 'action' an agent takes between reasoning steps.

sameAs

https://arxiv.org/abs/2210.03629

bridge_entity

agentic-loop

last_verified

2026-07-06

md_twin

/glossary/react-pattern.md

last verified 6 Jul 2026 · by Özden Erdinc

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