ReAct is a prompting and reasoning framework for large language models that interleaves natural language reasoning steps with actions such as tool calls, environment interactions, or database queries to improve task performance and traceability. Expanded Explanation 1. Technical Function and Core Characteristics ReAct defines a structured way for a language model to alternate between internal reasoning traces and external actions during multi-step tasks. The framework encodes this pattern

How widely is ReAct used?

14 organizations in our directory are tagged ReAct, referenced across 3 articles and 4 open source projects.

What is ReAct most closely associated with?

ReAct is most closely associated with Artificial Intelligence and Enterprise.

ReAct

Last updated August 24, 2026

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BlogPosting Itential details AI adoption guide for infrastructure teams BlogPosting Itential outlines AI reasoning paired with deterministic orchestration BlogPosting CISA adds CVE-2025-55182 to known exploited vulnerabilities catalog

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Articles mentioning this entity 3 Open source projects 4 Organizations tagged 14 Organizations Appdome, Builder.io, Cal.com, Clerk, Connectifi, IntelePeer, Iterate.ai, Materialize, PeerEX Networks, Preact, SuperTokens, Talsec, TIBCO Software, Twilio Related terms Related terms (co-occurring topics)

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The record DefinedTerm ReAct
One of its 3 linked records BlogPosting Itential details AI adoption guide for infrastructure teams https://decisioninsights.ai/itential-details-ai-adoption-guide-for-infrastructure-teams/
The primary source CreativeWork itential.com https://www.itential.com/resource/guide/adopting-ai-for-network-infrastructure-automation/

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