{"id":6680,"date":"2025-09-24T13:01:41","date_gmt":"2025-09-24T04:01:41","guid":{"rendered":"https:\/\/dandelions.co.jp\/blog\/?p=6680"},"modified":"2025-09-24T13:39:33","modified_gmt":"2025-09-24T04:39:33","slug":"overview-and-potential-applications-of-ai-agents","status":"publish","type":"post","link":"https:\/\/dandelions.co.jp\/blog\/blog\/2025\/09\/24\/overview-and-potential-applications-of-ai-agents\/","title":{"rendered":"Overview and Potential Applications of AI Agents"},"content":{"rendered":"\n<p>As an engineer&#8217;s blog, I&#8217;d like to share what I&#8217;m learning on a daily basis.<br>This time, the theme is <strong>AI Agents<\/strong>, which have been gaining significant attention in recent years.<\/p>\n\n\n\n<p>An AI Agent is an autonomous system capable of recognizing its surroundings, making judgments based on the situation, and taking action.<br>Unlike ordinary automation, its defining feature is the ability to flexibly handle tasks using learning and reasoning.<br>Recently, examples of incorporating AI Agents into work and system development using frameworks like ChatGPT and LangChain are increasing.<\/p>\n\n\n\n<p>Translated with DeepL.com (free version)<\/p>\n\n\n\n<h2>1.Basic Elements of an AI Agent<\/h2>\n\n\n\n<p>The AI Agent consists of the following four elements.<\/p>\n\n\n\n<ul><li><strong>Perception<\/strong>: Recognizing the environment and data (e.g., text analysis, sensor information)<\/li><li><strong>Reasoning<\/strong>: Making decisions based on knowledge and rules<\/li><li><strong>Action<\/strong>: Execute a task (e.g., API call, document generation)<\/li><li><strong>Learning<\/strong>: Accumulating experience and improving<\/li><\/ul>\n\n\n\n<p>Traditional programs only performed predetermined tasks, but AI Agents can flexibly adapt their actions based on the situation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"887\" height=\"579\" src=\"http:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh1.png\" alt=\"\" class=\"wp-image-6683\" srcset=\"https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh1.png 887w, https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh1-300x196.png 300w, https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh1-768x501.png 768w\" sizes=\"(max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/figure>\n\n\n\n<h2>2.Representative Frameworks<\/h2>\n\n\n\n<h3>\u2460 LangChain<\/h3>\n\n\n\n<ul><li><strong>Features<\/strong>: Utilizes LLM (Large Language Model) to decompose and execute complex tasks.<\/li><li><strong>Strengths<\/strong>: Easy API integration, enabling automatic combination of search, calculation, and information organization.<\/li><li><strong>Usage examples<\/strong>: Document search agent, automated customer support responses.<\/li><\/ul>\n\n\n\n<h3>\u2461 AutoGPT<\/h3>\n\n\n\n<ul><li><strong>Features<\/strong>: When a goal is set, it autonomously plans and executes multiple tasks.<\/li><li><strong>Strength<\/strong>: Can determine next steps independently with minimal direction from others.<\/li><li><strong>Use cases<\/strong>: Automating research tasks, drafting blog posts.<\/li><\/ul>\n\n\n\n<h3>\u2462 BabyAGI<\/h3>\n\n\n\n<ul><li><strong>Features<\/strong>: A compact autonomous agent that utilizes memory to continuously manage tasks.<\/li><li><strong>Strengths<\/strong>: Simple and lightweight, suitable for personal use and small-scale projects.<\/li><li><strong>Use cases<\/strong>: Daily to-do list management, automating information organization.<\/li><\/ul>\n\n\n\n<h2>3.Use Cases<\/h2>\n\n\n\n<ul><li><strong>Software Development<\/strong>: Support from Requirements Definition to Test Automation<\/li><li><strong>Business Operations<\/strong>: Streamlining customer support, scheduling, and research tasks<\/li><li><strong>Daily Life<\/strong>: Smart Home Control, Learning Support<\/li><\/ul>\n\n\n\n<p>These are not merely \u201ctools,\u201d but are expected to be \u201cpartners\u201d that collaborate with humans to achieve results.<\/p>\n\n\n\n<h2>4.Future Outlook and Challenges<\/h2>\n\n\n\n<p><strong>Outlook<\/strong>: Advancement toward \u201cmulti-agent systems\u201d where multiple AI agents collaborate to solve problems as a team.<\/p>\n\n\n\n<p><strong>Challenges<\/strong>: Reliability, security, and ethical concerns (risks of misinformation and excessive autonomy).<\/p>\n\n\n\n<p>This time, we introduced the basics of AI Agents and their potential applications.<br>Next time, we plan to share our hands-on experience building an AI Agent using LangChain and having it perform simple tasks, along with our impressions of using it. We&#8217;ll include code examples and results to explain, based on our experience, how it can be applied to business operations.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"576\" src=\"http:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh2-1024x576.png\" alt=\"\" class=\"wp-image-6684\" srcset=\"https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh2-1024x576.png 1024w, https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh2-300x169.png 300w, https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh2-768x432.png 768w, https:\/\/dandelions.co.jp\/blog\/wp\/wp-content\/uploads\/2025\/09\/anh2.png 1290w\" sizes=\"(max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/figure>\n\n\n\n<p>If you&#8217;re interested in AI Agents, be sure to tune in next time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As an engineer&#8217;s blog, I&#8217;d like to share what I&#8217;m learning on a daily basis.This time, the t &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/dandelions.co.jp\/blog\/blog\/2025\/09\/24\/overview-and-potential-applications-of-ai-agents\/\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;Overview and Potential Applications of AI Agents&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[8],"tags":[9],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paR9rw-1JK","_links":{"self":[{"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/posts\/6680"}],"collection":[{"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/comments?post=6680"}],"version-history":[{"count":4,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/posts\/6680\/revisions"}],"predecessor-version":[{"id":6689,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/posts\/6680\/revisions\/6689"}],"wp:attachment":[{"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/media?parent=6680"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/categories?post=6680"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dandelions.co.jp\/blog\/wp-json\/wp\/v2\/tags?post=6680"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}