{"id":13457,"date":"2026-05-22T20:32:20","date_gmt":"2026-05-22T20:32:20","guid":{"rendered":"https:\/\/comparateur-ia.io\/outils-ia\/autogen\/"},"modified":"2026-05-22T20:32:20","modified_gmt":"2026-05-22T20:32:20","slug":"autogen","status":"publish","type":"outil_ia","link":"https:\/\/comparateur-ia.io\/en\/outils-ia\/autogen\/","title":{"rendered":"AutoGen"},"content":{"rendered":"\n\n<p class=\"tool-description\">AutoGen is an __open source framework__ developed by Microsoft Research to build multi-agent AI applications. It lets you create __autonomous agents__ that collaborate to accomplish complex tasks by breaking down problems, exchanging messages and executing code. Available in Python and .NET, AutoGen v0.4 features a modular architecture with AutoGen Core, AgentChat and Extensions. It supports all major __LLMs__ and is used in production by many enterprises.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">What is AutoGen?<\/h2>\n\n\n\n\n\n<p>AutoGen is a Python (and .NET) library that lets you create, configure and orchestrate AI agents. Each agent can use an LLM, execute code, call APIs or interact with other agents. The framework manages message exchanges, memory, state and agent serialization, making it easier to build complex and reliable AI workflows.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Main Features<\/h2>\n\n\n\n\n\n<p>AutoGen v0.4 is organized around a layered architecture: AutoGen Core provides fundamental primitives, AgentChat adds high-level agents and interfaces, and Extensions integrates advanced LLM clients and third-party services. AutoGen Studio offers a low-code visual interface for creating workflows. The framework supports streaming, state serialization, and memory management for persistent agents.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Use Cases<\/h2>\n\n\n\n\n\n<p>AutoGen is used to automate complex workflows: multi-step data analysis, code generation and review, document research, AI customer support, and reasoning agents for decision-making. It&#8217;s particularly suited for enterprises looking to deploy multi-agent pipelines in production.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Advantages<\/h2>\n\n\n\n\n\n<p>AutoGen brings the rigor and robustness expected from a Microsoft Research project. Its modular architecture makes system maintenance and evolution easier. Support for multiple languages (Python, .NET) enables integration into diverse ecosystems. Active community and comprehensive documentation reduce implementation time.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Pricing<\/h2>\n\n\n\n\n\n<p>AutoGen is completely free and open source under the MIT license. The only costs are those of the LLM APIs connected to your agents. There is no paid version or subscription required to use the framework.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n\n\n<p>AutoGen is the reference framework for serious teams looking to build multi-agent AI systems in production. Its Microsoft Research quality, modular architecture and active community make it a strategic choice for advanced automation projects.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Strengths<\/h2>\n\n\n\n\n\n<ul class=\"wp-block-list\">\n\n<li><strong>Developed by Microsoft Research<\/strong>, quality and longevity<\/li>\n\n<li><strong>Multi-agent architecture<\/strong> that&#8217;s modular and extensible<\/li>\n\n<li>Support for <strong>Python and .NET<\/strong> with interoperability<\/li>\n\n<li>Compatible with all major <strong>LLMs<\/strong> available<\/li>\n\n<li>Low-code <strong>AutoGen Studio<\/strong> interface for visual workflows<\/li>\n\n<li>State management, memory and <strong>agent serialization<\/strong><\/li>\n\n<\/ul>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Limitations<\/h2>\n\n\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Steep learning curve for <strong>advanced use cases<\/strong><\/li>\n\n<li>Documentation sometimes dense for <strong>junior developers<\/strong><\/li>\n\n<li>Requires <strong>Python or .NET knowledge<\/strong> for customization<\/li>\n\n<li>API cost management can be complex with <strong>many agents<\/strong><\/li>\n\n<\/ul>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>What is AutoGen and what is it for?<\/summary>\n\n\n\n<p>AutoGen is an open source framework from Microsoft for creating applications where multiple AI agents collaborate. Each agent can have a specific role (reasoning, code execution, research\u2026) and communicates with the others to solve complex tasks.<\/p>\n\n\n\n<\/details>\n\n\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Is AutoGen free?<\/summary>\n\n\n\n<p>Yes, AutoGen is completely free and open source. The only costs are those of the LLM APIs you connect to your agents (OpenAI, Anthropic, etc.).<\/p>\n\n\n\n<\/details>\n\n\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>What is the difference between AutoGen Core and AgentChat?<\/summary>\n\n\n\n<p>AutoGen Core is the base layer providing fundamental primitives for creating agents. AgentChat builds on Core and offers pre-built agents and high-level interfaces to speed up development.<\/p>\n\n\n\n<\/details>\n\n\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Is AutoGen Studio an alternative for non-developers?<\/summary>\n\n\n\n<p>AutoGen Studio offers a low-code visual interface for creating multi-agent workflows without writing much code. It&#8217;s more accessible, but understanding AI agentic concepts is still necessary.<\/p>\n\n\n\n<\/details>\n\n\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Does AutoGen support open source models?<\/summary>\n\n\n\n<p>Yes, AutoGen is compatible with all major LLMs: GPT-4, Claude, Gemini, as well as open source models via Ollama or any OpenAI-compatible API.<\/p>\n\n\n\n<\/details>\n\n","protected":false},"excerpt":{"rendered":"<p>AutoGen is Microsoft&#8217;s open source framework for creating multi-agent AI systems capable of collaborating, reasoning and solving complex tasks in Python or .NET.<\/p>\n","protected":false},"author":2,"featured_media":27349,"template":"","meta":{"cia_url_outil":"https:\/\/microsoft.github.io\/autogen","cia_affiliate_url":"","cia_prix":"Free","cia_devise":"USD","cia_date_test":"","cia_highlight":"The Microsoft framework for orchestrating collaborative AI agents.","cia_logo":"\/partners\/autogen.png","cia_og_image":"","cia_partner":"autogen","cia_json_id":"autogen","cia_verdict":"AutoGen is the reference framework of __Microsoft Research__ for building multi-agent AI systems. Its version 0.4 marks a major overhaul with a more robust, extensible architecture suited to production deployments. Support for __Python and .NET__ with inter-language interoperability sets it apart from many competitors. AutoGen Studio adds a low-code visual interface that democratizes access to multi-agent workflows. Compatibility with all major __LLMs__ and its Microsoft origin guarantee support and long-term evolution. However, it's reserved for technical profiles: the learning curve is significant and simple use cases don't warrant such a framework. For teams that need to orchestrate __collaborative autonomous agents__ in complex environments, AutoGen is an unmissable and trustworthy choice.","cia_avantages":"[\"__Developed by Microsoft Research__, quality and longevity\",\"__Multi-agent architecture__ that's modular and extensible\",\"Support for __Python and .NET__ with interoperability\",\"Compatible with all major __LLMs__ available\",\"Low-code __AutoGen Studio__ interface for visual workflows\",\"State management, memory and __agent serialization__\"]","cia_avantages_court":"[\"Du00e9veloppu00e9 par Microsoft Research\",\"Architecture multi-agents modulaire\",\"Python et .NET compatibles\",\"Tous les LLMs supportu00e9s\",\"AutoGen Studio low-code\"]","cia_inconvenients":"[\"Steep learning curve for __advanced use cases__\",\"Documentation sometimes dense for __junior developers__\",\"Requires __Python or .NET knowledge__ for customization\",\"API cost management can be complex with __many agents__\"]","cia_inconvenients_court":"[\"Courbe d'apprentissage u00e9levu00e9e\",\"Documentation dense\",\"Connaissances Python\/.NET requises\",\"Cou00fbts API u00e0 surveiller\"]","cia_ideal_pour":"[\"__Chercheurs et ingu00e9nieurs IA__ explorant l'agentique\",\"__Du00e9veloppeurs__ construisant des pipelines d'automatisation\",\"__Entreprises__ du00e9ployant des workflows multi-agents en prod\",\"__u00c9quipes__ Python \/ .NET intu00e9grant des agents IA\"]","cia_pas_pour":"[\"__Non-du00e9veloppeurs__ sans expu00e9rience en programmation\",\"__Petits projets__ simples ne nu00e9cessitant pas plusieurs agents\",\"__Utilisateurs__ cherchant un assistant IA clu00e9 en main\",\"__u00c9quipes__ sans ressources pour gu00e9rer des agents IA\"]","cia_faq":"[{\"q\":\"What is AutoGen and what is it for?\",\"a\":\"AutoGen is an open source framework from Microsoft for creating applications where multiple AI agents collaborate. Each agent can have a specific role (reasoning, code execution, research\u2026) and communicates with the others to solve complex tasks.\"},{\"q\":\"Is AutoGen free?\",\"a\":\"Yes, AutoGen is completely free and open source. The only costs are those of the LLM APIs you connect to your agents (OpenAI, Anthropic, etc.).\"},{\"q\":\"What is the difference between AutoGen Core and AgentChat?\",\"a\":\"AutoGen Core is the base layer providing fundamental primitives for creating agents. AgentChat builds on Core and offers pre-built agents and high-level interfaces to speed up development.\"},{\"q\":\"Is AutoGen Studio an alternative for non-developers?\",\"a\":\"AutoGen Studio offers a low-code visual interface for creating multi-agent workflows without writing much code. It's more accessible, but understanding AI agentic concepts is still necessary.\"},{\"q\":\"Does AutoGen support open source models?\",\"a\":\"Yes, AutoGen is compatible with all major LLMs: GPT-4, Claude, Gemini, as well as open source models via Ollama or any OpenAI-compatible API.\"}]","cia_languages":"[\"fr\",\"en\"]","cia_read_more":"[{\"href\":\"\/comparatifs\/ia-no-code-automatisation\",\"title\":\"Top des outils IA No-code & Automatisation\",\"desc\":\"Comparez AutoGen avec les meilleures plateformes d'automatisation IA.\"},{\"href\":\"\/comparatifs\/ia-code-developpement\",\"title\":\"Meilleurs outils IA pour le code\",\"desc\":\"Du00e9couvrez les frameworks et assistants IA pour les du00e9veloppeurs.\"}]","cia_seo_title":"","cia_seo_description":"","cia_seo_h1":"","cia_review_seo_title":"","cia_review_seo_desc":"","cia_created_at":"2026-03-22","cia_updated_at":"2026-03-22","cia_note_globale":4.7,"cia_note_count":61,"cia_prix_mensuel":0,"cia_ranking":999,"cia_verified":true,"cia_featured":false,"cia_selection":false,"cia_is_affiliate":false,"cia_has_review":true,"cia_trial":true,"cia_langue_fr":true,"cia_api_disponible":false,"footnotes":""},"categorie-ia":[177,178],"tag-ia":[123,180],"tarification":[14],"niveau-utilisateur":[],"metier":[],"class_list":["post-13457","outil_ia","type-outil_ia","status-publish","has-post-thumbnail","hentry","categorie_ia-code-development","categorie_ia-no-code-automatisation","tag_ia-agents-ia","tag_ia-automatization-workflows","tarification-gratuit"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - 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