{"id":57841,"date":"2026-03-26T10:30:06","date_gmt":"2026-03-26T10:30:06","guid":{"rendered":"https:\/\/www.bravent.net\/?p=57841"},"modified":"2026-03-26T10:30:07","modified_gmt":"2026-03-26T10:30:07","slug":"agents-dragons-a-multi-agent-architecture-for-ai-role-playing-narratives","status":"publish","type":"post","link":"https:\/\/www.bravent.net\/en\/news\/agents-dragons-a-multi-agent-architecture-for-ai-role-playing-narratives","title":{"rendered":"Agents &#038; Dragons: A Multi-Agent Architecture for AI Role-Playing Narratives"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><p>Agent-based <a href=\"https:\/\/www.bravent.net\/en\/services\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">artificial intelligence<\/a> is enabling systems capable of coordinating complex tasks through collaboration between specialized components. One domain where this approach becomes particularly interesting is <strong>interactive narrative generation<\/strong>.<\/p>\n<p>In this context, we developed <strong>Agents &amp; Dragons<\/strong>, a role-playing storytelling system powered by AI agents designed to simulate the role of a <em>Dungeon Master<\/em> in traditional tabletop role-playing games.<\/p>\n<p>The goal of the project is not only to create a dynamic, coherent, and challenging gaming experience. The architecture also serves as <strong>a practical example of<a href=\"https:\/\/www.bravent.net\/en\/news\/technology-trends-2026-the-new-horizon-of-business-innovation\/\" target=\"_blank\" rel=\"noopener\"> multi-agent systems<\/a> applied to complex AI workflows<\/strong>.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>The challenge: simulating a Dungeon Master with AI<\/strong><\/h2>\n<p>In tabletop role-playing games, the Dungeon Master (DM) acts as narrator and coordinator of the game.<\/p>\n<p>Their responsibilities include:<\/p>\n<ul>\n<li>creating and evolving the story<\/li>\n<li>controlling non-player characters (NPCs)<\/li>\n<li>interpreting the game world<\/li>\n<li>applying the rules of the system<\/li>\n<li>reacting to player decisions<\/li>\n<\/ul>\n<p>Simulating all these behaviors with AI is a significant challenge.<\/p>\n<p>A seemingly simple solution would be to instruct a language model to <strong>act as a Dungeon Master<\/strong> and generate the story dynamically while interacting with the player.<\/p>\n<p>However, this approach introduces several problems.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>Limitations of a single AI agent<\/strong><\/h2>\n<p>Although a single agent could theoretically manage the entire narrative, several issues quickly emerge.<\/p>\n<p><strong>Responsibility overload<\/strong><\/p>\n<p>The Dungeon Master must perform many tasks simultaneously:<\/p>\n<ul>\n<li>narrating the story<\/li>\n<li>interpreting characters<\/li>\n<li>applying game rules<\/li>\n<li>maintaining world state<\/li>\n<li>responding to player actions<\/li>\n<\/ul>\n<p>Concentrating all these responsibilities in a single agent often leads to context limitations and logical inconsistencies.<\/p>\n<p>This is a common issue in AI systems and one reason why modern architectures increasingly rely on <strong>multi-agent designs<\/strong>.<\/p>\n<p><strong>Lack of narrative consistency and challenge<\/strong><\/p>\n<p>Another issue is consistency.<\/p>\n<p>When the model improvises the story without a structured system:<\/p>\n<ul>\n<li>narrative inconsistencies may appear<\/li>\n<li>rules are not properly enforced<\/li>\n<li>the system accepts any action from the player<\/li>\n<\/ul>\n<p>For example, if the player says <em>\u201cI start flying\u201d<\/em>, the AI may simply accept it without checking whether the rules allow such an action.<\/p>\n<p>This removes the challenge from the game.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>The solution: a multi-agent architecture<\/strong><\/h2>\n<p>To address these issues, we designed a <strong>multi-agent architecture<\/strong> using<a href=\"https:\/\/www.bravent.net\/en\/news\/microsoft-agent-framework-intelligent-agents-and-enterprise-governance\/\" target=\"_blank\" rel=\"noopener\"> Microsoft Agent Framework<\/a>.<\/p>\n<p>Each agent in the system has a clearly defined responsibility.<\/p>\n<p>This design allows the system to:<\/p>\n<ul>\n<li>separate responsibilities<\/li>\n<li>maintain narrative coherence<\/li>\n<li>enforce game rules<\/li>\n<li>scale more effectively.<\/li>\n<\/ul>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>System architecture<\/strong><\/h2>\n<p>The system consists of four main components:<\/p>\n<ul>\n<li>frontend<\/li>\n<li>backend<\/li>\n<li>data structures<\/li>\n<li>AI agents.<\/li>\n<\/ul>\n<p><strong>Frontend<\/strong><\/p>\n<p>The frontend is a simple web application built with:<\/p>\n<ul>\n<li>Vue.js<\/li>\n<li>Tailwind CSS<\/li>\n<\/ul>\n<p>It includes:<\/p>\n<ul>\n<li>an adventure selection menu<\/li>\n<li>a chat interface where the game takes place.<\/li>\n<\/ul>\n<p><strong>Backend<\/strong><\/p>\n<p>The backend is implemented using FastAPI.<\/p>\n<p>It exposes a <strong>REST API<\/strong> that manages communication between the frontend and the agent system.<\/p>\n<p><strong>Data structures<\/strong><\/p>\n<p>The system maintains data structures that store the current state of the game.<\/p>\n<p>These structures are dynamically updated through tools invoked by the narrator agent.<\/p>\n<p><strong>Scene<\/strong><\/p>\n<p>Stores the current game state:<\/p>\n<ul>\n<li>location<\/li>\n<li>characters present<\/li>\n<li>recent events<\/li>\n<li>narrative context.<\/li>\n<\/ul>\n<p><strong>Sheet<\/strong><\/p>\n<p>Stores character statistics:<\/p>\n<ul>\n<li>abilities<\/li>\n<li>attributes<\/li>\n<li>status.<\/li>\n<\/ul>\n<p><strong>AI agents<\/strong><\/p>\n<p>The core of the system consists of several specialized agents.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>Orchestrator \/ Narrator<\/strong><\/h2>\n<p>This agent acts as the <strong>primary Dungeon Master<\/strong>.<\/p>\n<p>Its responsibilities include:<\/p>\n<ul>\n<li>coordinating the other agents<\/li>\n<li>maintaining narrative coherence<\/li>\n<li>managing game state.<\/li>\n<\/ul>\n<p><strong>Rules agent<\/strong><\/p>\n<p>This agent applies the game\u2019s rule system.<\/p>\n<p>It receives:<\/p>\n<ul>\n<li>an action<\/li>\n<li>the scene state<\/li>\n<li>character statistics.<\/li>\n<\/ul>\n<p>It then evaluates the action according to the rules and returns the result.<\/p>\n<p><strong>NPC agent<\/strong><\/p>\n<p>This agent interprets non-player characters.<\/p>\n<p>It receives:<\/p>\n<ul>\n<li>the scene context<\/li>\n<li>the NPC personality<\/li>\n<\/ul>\n<p>and generates dialogue or actions accordingly.<\/p>\n<p><strong>Image generation agent<\/strong><\/p>\n<p>This agent enhances visual immersion.<\/p>\n<p>It:<\/p>\n<ol>\n<li>analyzes the scene context<\/li>\n<li>generates prompts for an image generator<\/li>\n<li>maintains visual consistency using the previous image.<\/li>\n<\/ol>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>Technical considerations<\/strong><\/h2>\n<p>Several technical decisions support the architecture.<\/p>\n<p><strong>Microsoft Agent Framework<\/strong><\/p>\n<p>All agents and tools are implemented using Microsoft Agent Framework.<\/p>\n<p><strong>Agents as tools<\/strong><\/p>\n<p>The <strong>Rules<\/strong> and <strong>NPC<\/strong> agents act as tools for the Narrator agent, allowing them to be invoked dynamically during gameplay.<\/p>\n<p><strong>Data validation with Pydantic<\/strong><\/p>\n<p>All inputs and outputs use models from Pydantic, ensuring structured communication between agents.<\/p>\n<p><strong>Memory management<\/strong><\/p>\n<p>Not all agents require memory.<\/p>\n<p>For example:<\/p>\n<ul>\n<li>the <strong>Narrator agent<\/strong> retains previous interactions<\/li>\n<li>the <strong>Rules agent<\/strong> receives all necessary context through input parameters.<\/li>\n<\/ul>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><h2><strong>Conclusion<\/strong><\/h2>\n<p><strong>Agents &amp; Dragons<\/strong> demonstrates how multi-agent architectures can address complex challenges in interactive storytelling.<\/p>\n<p>Beyond gaming, the principles behind this system can be applied to many other domains where artificial intelligence must manage <strong>complex workflows and coordinate multiple specialized agents<\/strong>.<\/p>\n<p>As multi-agent AI architectures evolve, this approach may become a foundational pattern for building advanced AI applications.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><div class=\"last-paragraph-no-margin\"><p>Multi-agent systems are opening new possibilities for building <strong>complex and autonomous AI solutions<\/strong>.<\/p>\n<p>At <strong>Bravent<\/strong>, we design agent-based architectures using technologies such as <strong>Microsoft Agent Framework<\/strong>, applying them both in innovation projects and real business use cases.<\/p>\n<p>If you are exploring how <strong>AI agents could enhance your applications or business processes<\/strong>, we would be happy to discuss your scenario.<\/p>\n<p>\ud83d\udce9 Contact us at <strong><a href=\"mailto:info@bravent.net\" target=\"_blank\" rel=\"noopener\">info@bravent.net<\/a><\/strong><\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section>[vc_section]<section class=\"vc_row wpb_row vc_row-fluid  vc_custom_1750923353325 vc_row-has-fill vc_column-gap-15 vc_row-o-content-middle vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth text-right md-text-right sm-text-right xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\">[vc_single_image image=&#8221;57844&#8243; img_size=&#8221;128&#215;128&#8243; alignment=&#8221;center&#8221; style=&#8221;vc_box_circle_2&#8243; css=&#8221;&#8221; el_class=&#8221;align-inherit&#8221;]<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><h3 class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1774520611063  heading-1\"  style=\"font-size: 20px; font-weight: 400;\" data-fontsize=\"20px\">Alejandro Fuster Bagetto<\/h3><span class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1774520641069  heading-2\"  style=\"font-size: 16px; font-weight: 400; color: #7a7a7a;\" data-fontsize=\"16px\">Senior AI developer - Bravent<\/span><div  class=\"pofo-social-links social-icon-style-8 social-icon-1\"><ul class=\"small-icon\"><li><a class=\"linkedin-in\" href=\"https:\/\/www.linkedin.com\/in\/alejandro-fuster-bagg\/\" target=\"_blank\"><i class=\"fa-brands fa-linkedin-in\"><\/i><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/section>[\/vc_section][vc_section]<section class=\"vc_row wpb_row vc_row-fluid  vc_custom_1750923353325 vc_row-has-fill vc_column-gap-15 vc_row-o-content-middle vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth text-right md-text-right sm-text-right xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\">[vc_single_image image=&#8221;57846&#8243; img_size=&#8221;128&#215;128&#8243; alignment=&#8221;center&#8221; style=&#8221;vc_box_circle_2&#8243; css=&#8221;&#8221; el_class=&#8221;align-inherit&#8221;]<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6  col-xs-mobile-fullwidth xs-text-center\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><h3 class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1774520677755  heading-3\"  style=\"font-size: 20px; font-weight: 400;\" data-fontsize=\"20px\">Jorge Verdeguer G\u00f3mez<\/h3><span class=\"text-extra-dark-gray margin-20px-bottom font-weight-600 display-block heading-style2  vc_custom_1774520694443  heading-4\"  style=\"font-size: 16px; font-weight: 400; color: #7a7a7a;\" data-fontsize=\"16px\">Machine Learning Engineer - Bravent<\/span><div  class=\"pofo-social-links social-icon-style-8 social-icon-2\"><ul class=\"small-icon\"><li><a class=\"linkedin-in\" href=\"https:\/\/www.linkedin.com\/in\/jorge-verdeguer-g%C3%B3mez-a979b2114\/\" target=\"_blank\"><i class=\"fa-brands fa-linkedin-in\"><\/i><\/a><\/li><\/ul><\/div><\/div><\/div><\/div><\/section>[\/vc_section]<section data-vc-full-width=\"true\" data-vc-full-width-init=\"false\" data-vc-stretch-content=\"true\" class=\"vc_row wpb_row vc_row-fluid  vc_custom_1646385956017 wow fadeIn pofo-stretch-content vc_row-no-padding vc_row-o-equal-height vc_row-flex\"><div class=\"wpb_column vc_column_container vc_col-has-fill vc_col-sm-6 vc_col-xs-12 wow fadeInRight text-center md-text-center sm-text-center xs-text-center pofo-column-responsive-6ab4061a1b22d\"><div class=\"vc_column-inner vc_custom_1645690236245\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-has-fill vc_col-sm-6  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner vc_custom_1646385945523\"><div class=\"wpb_wrapper\">[vc_widget_sidebar sidebar_id=&#8221;contact-form-en&#8221;]<\/div><\/div><\/div><\/section><div class=\"vc_row-full-width vc_clearfix\"><\/div><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/section>[vc_section][\/vc_section]<section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/section><section class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12  col-xs-mobile-fullwidth\"><div class=\"vc_column-inner \"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Agents &#038; Dragons is an AI-powered role-playing system that uses a multi-agent architecture to simulate a Dungeon Master and manage narrative, rules, and NPCs.<\/p>\n","protected":false},"author":15,"featured_media":57850,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[743,736],"tags":[948,941,737,763,569,932,927,557,864],"class_list":["post-57841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bravent-en","category-news-en","tag-business-strategy","tag-data-en","tag-digitalizacion-en","tag-innovacion-en","tag-microsoft-en","tag-microsoft-partner-en","tag-partnership","tag-security","tag-technology-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Multi-Agent AI Architecture: Building the Agents &amp; Dragons System<\/title>\n<meta name=\"description\" content=\"Learn how 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