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Agentic AI for Emergency Response and Comparative Analysis of SmolAgents, LangGraph, AutoGen, Agno AGI and CrewAI for Crisis Solution | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 3 December 2025 V1 Latest version Share on Agentic AI for Emergency Response and Comparative Analysis of SmolAgents, LangGraph, AutoGen, Agno AGI and CrewAI for Crisis Solution Authors : Purvi Choure 0009-0007-3466-4242 [email protected] and Shaligram Prajapat Authors Info & Affiliations https://doi.org/10.22541/au.176479422.22838930/v1 518 views 386 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Agentic AI systems are autonomous AI systems that make decisions and take actions without constant human oversight. They enable autonomous agents that can cooperate, reason, and perform complex tasks (with little human involvement). Agentic AI systems have promising uses in high-stakes social applications like disaster response, where speed of decision, collaboration, and flexibility are keys. Current agentic AI tools like Phi Data, AutoGen, SmolAgents, LangGraph, and CrewAI vary widely in design and functionality and have not yet been extensively tested in such urgent real-world applications. This work presents a unified framework for deploying agentic AI in crisis management environments. It prioritizes speedy information synthesis, decision assistance, and multiparty inter-agent coordination. A comparative evaluation of the above systems is performed to analyze their applicability to real-time, high-stakes situations. We further advance CrisisGen, an extensible system that illustrates the operationalization of agentic AI for crisis response. Our research is directed towards informing the development of socially accountable AI systems that can drive better performance in high-stakes domains like emergency response, healthcare, environmental monitoring, and humanitarian relief. Supplementary Material File (thec3ai-31-pdf.pdf) Download 1.84 MB Information & Authors Information Version history V1 Version 1 03 December 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords agent ai crisis response automation disaster management generative ai multi-agent systems Authors Affiliations Purvi Choure 0009-0007-3466-4242 [email protected] International Institute of Professional Studies View all articles by this author Shaligram Prajapat International Institute of Professional Studies View all articles by this author Metrics & Citations Metrics Article Usage 518 views 386 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Purvi Choure, Shaligram Prajapat. Agentic AI for Emergency Response and Comparative Analysis of SmolAgents, LangGraph, AutoGen, Agno AGI and CrewAI for Crisis Solution. Authorea . 03 December 2025. DOI: https://doi.org/10.22541/au.176479422.22838930/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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