{"id":198057,"date":"2025-10-07T06:59:00","date_gmt":"2025-10-07T05:59:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=198057"},"modified":"2025-09-23T17:58:26","modified_gmt":"2025-09-23T16:58:26","slug":"all-about-autogen","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-autogen","title":{"rendered":"Autogen: AI Agent Collaboration by Microsoft"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"198057\" class=\"elementor elementor-198057\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a5f435 e-flex e-con-boxed e-con\" data-id=\"1a5f435\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8076e4a elementor-widget elementor-widget-text-editor\" data-id=\"8076e4a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Autogen is the open-source framework that Microsoft has developed to orchestrate multiple AI agents, enabling them to collaborate as a real team. Discover how it is transforming the use of generative AIs by encouraging communication between agents, integrating human involvement, and collectively tackling complex tasks!<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-786a3fc elementor-widget elementor-widget-text-editor\" data-id=\"786a3fc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/en\/top-10-ai-image-generators\">Current artificial intelligences<\/a> have a significant limitation: they often operate in isolation. Chatbots, assistants, copilots\u2014 <\/span><b>each resides in its own silo, with its own constraints<\/b><span style=\"font-weight: 400;\">. This solitary algorithmic existence becomes a real impediment when tasks grow complex, such as <\/span><b>coding<\/b><span style=\"font-weight: 400;\">, data analysis, or <\/span><b>decision-making<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">To address this issue, <\/span><b>Microsoft<\/b><span style=\"font-weight: 400;\"> launched an open-source framework that enables <\/span><b>multiple AIs to collaborate<\/b><span style=\"font-weight: 400;\"> like a cohesive team. Even better, these agents can interact with humans, organize themselves, assign roles, and work together to solve problems that were previously insurmountable. This framework is called <\/span><b>Autogen<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5723375 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5723375\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/artificial-intelligence-definition\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Exploring artificial intelligence<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6738543 e-flex e-con-boxed e-con\" data-id=\"6738543\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bfbfd5e elementor-widget elementor-widget-heading\" data-id=\"bfbfd5e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-xl\">A Platform for AI Collective Intelligence<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af23c2e elementor-widget elementor-widget-text-editor\" data-id=\"af23c2e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Developed by <\/span><b>Microsoft Research<\/b><span style=\"font-weight: 400;\">, this open-source framework orchestrates <\/span><b>collaborative AI agents<\/b><span style=\"font-weight: 400;\">. The concept? Design systems where multiple models can engage in continuous interaction, hand-off tasks, ask questions, and self-correct\u2014 akin to a <\/span><b>project team<\/b><span style=\"font-weight: 400;\">. It can include <a href=\"https:\/\/datascientest.com\/en\/all-about-generated-pre-trained-transformers\">GPT<\/a>, specialized tools, scripts, and even humans.<\/span><\/p><p><span style=\"font-weight: 400;\">It&#8217;s important to clarify that Autogen does not offer another <\/span><a href=\"https:\/\/datascientest.com\/en\/large-language-models-llm-everything-you-need-to-know\"><span style=\"font-weight: 400;\">LLM<\/span><\/a><span style=\"font-weight: 400;\">, but rather an <\/span><b>interaction infrastructure<\/b><span style=\"font-weight: 400;\">. It facilitates conversations among multiple intelligent entities, enabling them to <\/span><b>coordinate their actions<\/b><span style=\"font-weight: 400;\"> and tackle more ambitious tasks collectively than a single agent could manage alone.<\/span><\/p><p><span style=\"font-weight: 400;\">Whereas single-agent assistants were traditionally built, Autogen promotes a <\/span><b>multi-agent dialogue approach<\/b><span style=\"font-weight: 400;\">. Each agent assumes a role: a coder, a reviewer, a coordinator, a decision-maker&#8230; and everything operates seamlessly, guided by an <\/span><b>orchestration engine<\/b><span style=\"font-weight: 400;\"> that adheres to dialogic logic.<\/span><\/p><p><span style=\"font-weight: 400;\">Technically, it&#8217;s open-source, <\/span><a href=\"https:\/\/datascientest.com\/en\/all-about-courses-on-python\"><span style=\"font-weight: 400;\">written in Python<\/span><\/a><span style=\"font-weight: 400;\">, and based on LLM models accessible through APIs (<a href=\"https:\/\/datascientest.com\/en\/meta-goes-head-to-head-with-openai-and-gpt-4\">OpenAI<\/a>, <\/span><a href=\"https:\/\/datascientest.com\/en\/microsoft-azure-empower-yourself-with-knowledge\"><span style=\"font-weight: 400;\">Azure<\/span><\/a><span style=\"font-weight: 400;\">, etc.). The aim is to make the system <\/span><b>modular<\/b><span style=\"font-weight: 400;\">, <\/span><b>testable<\/b><span style=\"font-weight: 400;\">, and <\/span><b>reusable<\/b><span style=\"font-weight: 400;\"> in any project.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fb842d elementor-widget elementor-widget-image\" data-id=\"7fb842d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1536\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-1.webp\" class=\"attachment-full size-full wp-image-198060\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-1.webp 1536w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-1-300x200.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-1-1024x683.webp 1024w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-1-768x512.webp 768w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a3d9940 e-flex e-con-boxed e-con\" data-id=\"a3d9940\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8026b3f elementor-widget elementor-widget-heading\" data-id=\"8026b3f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Collaboration Among AI... and With Humans<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9d2d377 elementor-widget elementor-widget-text-editor\" data-id=\"9d2d377\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">What sets Autogen apart is not merely its ability for multiple AI agents to communicate. Similar frameworks are indeed in existence. Its uniqueness lies in its <\/span><b>structured dialogue logic<\/b><span style=\"font-weight: 400;\">, which is designed to incorporate humans into the process.<\/span><\/p><p><span style=\"font-weight: 400;\">Central to the system are two types of entities: <\/span><b><i>agents<\/i><\/b><span style=\"font-weight: 400;\"> (autonomous, such as a specialized GPT assistant) and <\/span><b><i>user proxies<\/i><\/b><span style=\"font-weight: 400;\">, which act as interfaces for human users. A <\/span><b>user proxy<\/b><span style=\"font-weight: 400;\"> acts as a developer who can jump into a conversation to <\/span><b>validate a decision, fix a bug, or pose a new question<\/b><span style=\"font-weight: 400;\">. They can communicate directly within the interaction thread among agents.<\/span><\/p><p><span style=\"font-weight: 400;\">Each agent, on its end, can be assigned a specific role: &#8220;coding a function,&#8221; &#8220;testing a module,&#8221; &#8220;reformulating an instruction,&#8221; &#8220;posing questions to the client,&#8221; and each <\/span><b>interaction<\/b><span style=\"font-weight: 400;\"> unfolds in a controlled cycle. An agent speaks, another responds, and the system evaluates whether to persist, adjust, or terminate the dialogue.<\/span><\/p><p><span style=\"font-weight: 400;\">This format enables the creation of a <\/span><b>realistic and efficient dynamic among AIs<\/b><span style=\"font-weight: 400;\">. As a result, Autogen becomes a true platform for <\/span><b>cognitive orchestration<\/b><span style=\"font-weight: 400;\">, capable of structuring a <\/span><b>collective reasoning<\/b><span style=\"font-weight: 400;\"> that extends beyond a mere prompt.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dfa7378 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"dfa7378\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to orchestrate AI agents with Autogen<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9951fd0 e-flex e-con-boxed e-con\" data-id=\"9951fd0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3f03e8c elementor-widget elementor-widget-heading\" data-id=\"3f03e8c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">The Architecture of Autogen Explained<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-beb93e3 elementor-widget elementor-widget-text-editor\" data-id=\"beb93e3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The framework relies on a <\/span><b>modular architecture<\/b><span style=\"font-weight: 400;\">, where each agent is a Python object capable of engaging in dialogue according to predefined rules. These rules encompass a <\/span><b>personality<\/b><span style=\"font-weight: 400;\"> (system prompt, style, role), a <\/span><b>response strategy<\/b><span style=\"font-weight: 400;\"> (based on an LLM or a custom function), and <\/span><b>criteria for when to speak or not<\/b><span style=\"font-weight: 400;\"> given the conversational context.<\/span><\/p><p><span style=\"font-weight: 400;\">The core of the process is the <\/span><b>cyclical conversation<\/b><span style=\"font-weight: 400;\">. An <\/span><i><span style=\"font-weight: 400;\">orchestrator<\/span><\/i><span style=\"font-weight: 400;\"> (potentially an agent itself) manages speaking turns, oversees outcomes, and decides whether to continue or halt dialogue. This setup allows for the simulation of genuine <\/span><b>AI work sessions<\/b><span style=\"font-weight: 400;\">, complete with iterative cycles, restarts, and arbitrations.<\/span><\/p><p><span style=\"font-weight: 400;\">For instance, you might construct a loop where one agent proposes code, another agent reviews it, a third agent conducts tests, and a fourth agent determines if the code is satisfactory or requires another attempt&#8230; It\u2019s fluid, logical, reproducible, and significantly <\/span><b>more reliable than a single-shot prompt<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">What enhances this even more is Autogen&#8217;s capability to include <\/span><b>external tools<\/b><span style=\"font-weight: 400;\">. Agents can execute <a href=\"https:\/\/datascientest.com\/en\/top-10-native-python-functions\">Python functions<\/a>, engage with APIs, read files, and operate in a real-world environment, not solely within simulated dialogues!<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9dbaab elementor-widget elementor-widget-image\" data-id=\"d9dbaab\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1536\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-4.webp\" class=\"attachment-full size-full wp-image-198061\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-4.webp 1536w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-4-300x200.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-4-1024x683.webp 1024w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-4-768x512.webp 768w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ca9e515 e-flex e-con-boxed e-con\" data-id=\"ca9e515\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a63adda elementor-widget elementor-widget-heading\" data-id=\"a63adda\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Some Notable Use Cases<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-20f97e9 elementor-widget elementor-widget-text-editor\" data-id=\"20f97e9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Autogen excels in complex scenarios where traditional AIs reach their limitations. Microsoft has notably tested it in <\/span><b>software development<\/b><span style=\"font-weight: 400;\"> contexts with striking outcomes. Imagine being able to task it with an instruction like &#8220;<\/span><i><span style=\"font-weight: 400;\">create a Python function to clean a dataset, then generate a correlation graph<\/span><\/i><span style=\"font-weight: 400;\">&#8220;.<\/span><\/p><p><span style=\"font-weight: 400;\">Rather than attempting everything at once, and often doing so with difficulty, Autogen distributes the workload. A <\/span><b>Data Cleaner agent writes the preprocessing code<\/b><span style=\"font-weight: 400;\">, a <\/span><b>Debugger agent checks it line by line<\/b><span style=\"font-weight: 400;\">. Meanwhile, a <\/span><b>Visualizer agent suggests relevant graphical outputs<\/b><span style=\"font-weight: 400;\">, and you, as a User Proxy, can pause the cycle, adjust the command, or initiate a new cycle.<\/span><\/p><p><span style=\"font-weight: 400;\">This methodology enables a <\/span><b>modular approach<\/b><span style=\"font-weight: 400;\">, fully documented, tested, and devoid of major hallucinations. It overcomes many of the significant shortcomings of traditional AIs. Another notable application is the <\/span><b>creation of specialized agents<\/b><span style=\"font-weight: 400;\"> to automate <\/span><b>business processes<\/b><span style=\"font-weight: 400;\">. For instance, one agent collects the data, while another aggregates it.<\/span><\/p><p><b>A third compiles a daily report<\/b><span style=\"font-weight: 400;\">, and a fourth communicates with users to send everything via Slack or email. This is <strong>RPA (process automation)<\/strong> enhanced with generative intelligence, and it&#8217;s thoroughly customizable.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d6b4a7 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"8d6b4a7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Using Autogen for your AI projects<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6111d6d e-flex e-con-boxed e-con\" data-id=\"6111d6d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d7d2906 elementor-widget elementor-widget-heading\" data-id=\"d7d2906\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Why Does This Mark a Turning Point for Generative AI?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a991bb elementor-widget elementor-widget-text-editor\" data-id=\"6a991bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">With Autogen, we transition from the &#8220;AI assistant&#8221; paradigm to the <\/span><b>&#8220;AI team&#8221;<\/b><span style=\"font-weight: 400;\"> model. It&#8217;s not just a change in tools, but a philosophical shift. The aim is no longer to <\/span><b>turn an AI into a universal genius<\/b><span style=\"font-weight: 400;\">, but rather to coordinate specialized agents, each with its own <\/span><b>expertise<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">We no longer delegate a task to a solitary AI, but to an <\/span><b>intelligent collective<\/b><span style=\"font-weight: 400;\"> capable of debate, iteration, and decision-making. The focus shifts from crafting massive prompts to creating <\/span><b>collaborative architectures<\/b><span style=\"font-weight: 400;\"> that can evolve with our needs.<\/span><\/p><p><span style=\"font-weight: 400;\">Moreover, Autogen introduces a degree of <\/span><b>resilience in AI endeavors<\/b><span style=\"font-weight: 400;\">. If one agent delivers an unsatisfactory result, another can <\/span><b>challenge it<\/b><span style=\"font-weight: 400;\">, <\/span><b>offer an alternative<\/b><span style=\"font-weight: 400;\">, or <\/span><b>seek clarification<\/b><span style=\"font-weight: 400;\">. This mirrors the <\/span><b>cognitive mechanisms<\/b><span style=\"font-weight: 400;\"> of human deliberation, now applied to the realm of AIs&#8230;<\/span><\/p><p><span style=\"font-weight: 400;\">For companies, this offers a significant advantage. Complex tasks, like <\/span><b>project management<\/b><span style=\"font-weight: 400;\">, <\/span><b>automating analyses<\/b><span style=\"font-weight: 400;\">, or <\/span><b>drafting technical documents<\/b><span style=\"font-weight: 400;\">, can be assigned to autonomous AI teams.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a75f74 elementor-widget elementor-widget-image\" data-id=\"1a75f74\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1536\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-3.webp\" class=\"attachment-full size-full wp-image-198062\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-3.webp 1536w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-3-300x200.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-3-1024x683.webp 1024w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-3-768x512.webp 768w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6790358 e-flex e-con-boxed e-con\" data-id=\"6790358\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a4de3cf elementor-widget elementor-widget-heading\" data-id=\"a4de3cf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Autogen vs. Crew AI vs. LangChain Agents: Who Does What?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a62226c elementor-widget elementor-widget-text-editor\" data-id=\"a62226c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The landscape of <\/span><b>collaborative AI agents<\/b><span style=\"font-weight: 400;\"> is growing denser. Alongside Autogen, two other frameworks are emerging prominently: <\/span><b>Crew AI and LangChain<\/b><span style=\"font-weight: 400;\"> Agents. So how do you choose? And more importantly, what truly distinguishes Autogen?<\/span><\/p><p><span style=\"font-weight: 400;\">Focused on productivity, <\/span><b>Crew AI<\/b><span style=\"font-weight: 400;\"> offers an <\/span><b>highly structured approach<\/b><span style=\"font-weight: 400;\">: roles are defined (developer, reviewer, planner, etc.), <\/span><b>&#8220;tasks&#8221;<\/b><span style=\"font-weight: 400;\"> are configured, and the AI team organizes itself to reach its objective. It&#8217;s effective, but also more rigid. Every agent follows a specific plan, and the system operates entirely on a <\/span><b>sequential workflow<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">On the <\/span><b>LangChain<\/b><span style=\"font-weight: 400;\"> side, <\/span><i><span style=\"font-weight: 400;\">agents<\/span><\/i><span style=\"font-weight: 400;\"> are designed to <\/span><b>make real-time decisions<\/b><span style=\"font-weight: 400;\">. They&#8217;re provided with a goal, tools, and a thought process (through the <\/span><b>ReAct<\/b><span style=\"font-weight: 400;\"> framework, for example). The <\/span><b>system is flexible<\/b><span style=\"font-weight: 400;\"> and powerful, but it emphasizes &#8220;dialogue between agents&#8221; less. That\u2019s where Autogen&#8217;s uniqueness lies: <\/span><b>dialogue is central to its concept<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">No forced sequences, no fixed logic. You configure a <\/span><b>team of agents<\/b><span style=\"font-weight: 400;\"> that can discuss, correct, contradict, and discover solutions autonomously. Essentially, Autogen doesn&#8217;t build processing chains, but <\/span><b>authentic collective brains<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-21f9824 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"21f9824\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Master AI agent orchestration<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eb164cf e-flex e-con-boxed e-con\" data-id=\"eb164cf\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-66a33c7 elementor-widget elementor-widget-heading\" data-id=\"66a33c7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">How to Test Autogen Today?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-731a99f elementor-widget elementor-widget-text-editor\" data-id=\"731a99f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Good news: Autogen is <\/span><b>freely available as<\/b><span style=\"font-weight: 400;\"> open source, and it&#8217;s fairly straightforward to get started <\/span><span style=\"font-weight: 400;\">if you&#8217;re comfortable with Python<\/span><span style=\"font-weight: 400;\"> and AI APIs. The initial step is to <\/span><b>clone the repository<\/b><span style=\"font-weight: 400;\">. Visit the official <\/span><a href=\"https:\/\/datascientest.com\/en\/github-course-mastering-the-platform-made-easy\"><span style=\"font-weight: 400;\">GitHub<\/span><\/a><span style=\"font-weight: 400;\"> page. Everything you need is there: documentation, example scripts, and ready-to-use code.<\/span><\/p><p><span style=\"font-weight: 400;\">Next, you&#8217;ll need to set up your environment. This requires an <\/span><b>OpenAI key<\/b><span style=\"font-weight: 400;\"> (or another compatible provider), a <\/span><b>Python environment<\/b><span style=\"font-weight: 400;\"> (like <a href=\"https:\/\/datascientest.com\/en\/python-virtualenv-your-essential-guide-to-virtual-environments\">virtualenv<\/a> or <a href=\"https:\/\/datascientest.com\/en\/anaconda-prompt-all-you-need-to-know\">conda<\/a>), and a bit of patience to explore the examples.<\/span><\/p><p><span style=\"font-weight: 400;\">It\u2019s time to run an example. Among the demos is a <\/span><b>collaborative coding session<\/b><span style=\"font-weight: 400;\"> involving two agents, a <\/span><b>multi-agent chatbot<\/b><span style=\"font-weight: 400;\"> simulation, or even a full circle of data analysis plus visualization.<\/span><\/p><p><span style=\"font-weight: 400;\">It\u2019s concrete, instructive, and clear enough for you to quickly adapt it for your own projects. Autogen isn\u2019t a <\/span><b>&#8220;plug-and-play&#8221; tool<\/b><span style=\"font-weight: 400;\"> akin to ChatGPT, but a framework for creators. It&#8217;s meant for those looking beyond simple prompts, for those aiming to design intelligence that thinks collaboratively.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9df5051 elementor-widget elementor-widget-image\" data-id=\"9df5051\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1536\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-5.webp\" class=\"attachment-full size-full wp-image-198063\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-5.webp 1536w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-5-300x200.webp 300w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-5-1024x683.webp 1024w, https:\/\/datascientest.com\/en\/files\/2025\/07\/illustration-autogen-datascientest-5-768x512.webp 768w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1c8e097 e-flex e-con-boxed e-con\" data-id=\"1c8e097\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0707784 elementor-widget elementor-widget-heading\" data-id=\"0707784\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Autogen - When Artificial Intelligence Collaborative Play<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-07c1d23 elementor-widget elementor-widget-text-editor\" data-id=\"07c1d23\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Autogen signifies an exciting new direction in AI: the world of <\/span><b>collaborative AI agents<\/b><span style=\"font-weight: 400;\"> that can dialogue, iterate, and coordinate like a real team. This transition from a single-agent model to <\/span><b>collective intelligence<\/b><span style=\"font-weight: 400;\"> changes the way we imagine, design, and utilize generative AIs.<\/span><\/p><p><span style=\"font-weight: 400;\">For <\/span><b>developers<\/b><span style=\"font-weight: 400;\">, <\/span><b>businesses<\/b><span style=\"font-weight: 400;\">, or <\/span><b>any professional eager to harness this revolution<\/b><span style=\"font-weight: 400;\">, understanding and mastering such frameworks provides a competitive edge. Being able to <\/span><b>orchestrate multiple agents<\/b><span style=\"font-weight: 400;\"> and manage intricate dialogues ensures that tasks previously undelegatable to a single AI can now be automated.<\/span><\/p><p><span style=\"font-weight: 400;\">So, to dive deeper into Autogen and other <\/span><b>advanced artificial intelligence technologies<\/b><span style=\"font-weight: 400;\">, consider exploring DataScientest. The Artificial Intelligence Engineer program offered by DataScientest immerses you in the concepts, tools, and modern methods: <\/span><a href=\"https:\/\/datascientest.com\/en\/all-about-machine-learning-metrics\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\">, deep learning, <\/span><a href=\"https:\/\/datascientest.com\/en\/natural-language-processing-definition-and-principles\"><span style=\"font-weight: 400;\">NLP<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><b>multi-agent orchestration<\/b><span style=\"font-weight: 400;\">, and more.<\/span><\/p><p><span style=\"font-weight: 400;\">With a practice-focused educational approach, you will learn to <\/span><b>design, deploy, and manage complex AI projects<\/b><span style=\"font-weight: 400;\">, from data to industrialization. Through this course, you will gain all the necessary skills to <\/span><b>master frameworks like Autogen<\/b><span style=\"font-weight: 400;\">, and earn a <\/span><b>recognized professional certification<\/b><span style=\"font-weight: 400;\"> that boosts your appeal to employers.<\/span><\/p><p><a href=\"https:\/\/datascientest.com\/en\/data-courses\"><span style=\"font-weight: 400;\">Our courses are tailored to your needs<\/span><\/a><span style=\"font-weight: 400;\">, whether you prefer intensive BootCamp, apprenticeship, or ongoing training. Furthermore, DataScientest is eligible for funding via CPF or France Travail. <\/span><b>Discover DataScientest<\/b><span style=\"font-weight: 400;\">, and accelerate your journey in AI!<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-810f3b0 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"810f3b0\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Our AI training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63bb6dc elementor-widget elementor-widget-text-editor\" data-id=\"63bb6dc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Now you know all about Autogen. For further insights on related subjects, explore <\/span><a href=\"https:\/\/datascientest.com\/en\/all-about-ai-agents\"><span style=\"font-weight: 400;\">our comprehensive article on AI agents<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">our piece on LangChain<\/span><span style=\"font-weight: 400;\">, and <\/span><span style=\"font-weight: 400;\">our exploration of Crew AI<\/span><span style=\"font-weight: 400;\">!<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4da32ae e-flex e-con-boxed e-con\" data-id=\"4da32ae\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0094ab0 elementor-widget elementor-widget-html\" data-id=\"0094ab0\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"A Platform for AI Collective Intelligence\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Developed by Microsoft Research, this open-source framework orchestrates collaborative AI agents.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Collaboration Among AI... and With Humans\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"What sets Autogen apart is not merely its ability for multiple AI agents to communicate.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"The Architecture of Autogen Explained\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"The framework relies on a modular architecture, where each agent is a Python object capable of engaging in dialogue according to predefined rules.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Some Notable Use Cases\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Autogen excels in complex scenarios where traditional AIs reach their limitations.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Why Does This Mark a Turning Point for Generative AI?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"With Autogen, we transition from the \\\"AI assistant\\\" paradigm to the \\\"AI team\\\" model.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Autogen vs. Crew AI vs. LangChain Agents: Who Does What?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"The landscape of collaborative AI agents is growing denser.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"How to Test Autogen Today?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Good news: Autogen is freely available as open source, and it's fairly straightforward to get started if you're comfortable with Python and AI APIs.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Conclusion: Autogen - When Artificial Intelligence Collaborative Play\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Autogen signifies an exciting new direction in AI: the world of collaborative AI agents that can dialogue, iterate, and coordinate like a real team.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Autogen is the open-source framework that Microsoft has developed to orchestrate multiple AI agents, enabling them to collaborate as a real team. Discover how it is transforming the use of generative AIs by encouraging communication between agents, integrating human involvement, and collectively tackling complex tasks! Current artificial intelligences have a significant limitation: they often operate [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":198059,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Autogen: AI Agent Collaboration by Microsoft<\/title>\n<meta name=\"description\" content=\"Discover Autogen, Microsoft&#039;s open-source framework that enables multiple AI agents - and humans - to interact, collaborate, and solve complex tasks together. A new era for collective artificial intelligence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/all-about-autogen\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Autogen: AI Agent Collaboration by Microsoft\" \/>\n<meta property=\"og:description\" content=\"Autogen is the open-source framework that Microsoft has developed to orchestrate multiple AI agents, enabling them to collaborate as a real team. 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