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Microsoft Research framework for building conversational multi-agent systems where multiple AI agents can interact, collaborate, and solve complex tasks through natural language conversations. Autogen enables the creation of sophisticated agent conversations with different roles, capabilities, and interaction patterns to tackle problems requiring diverse perspectives and skills. Features include multi-agent conversation orchestration, customizable agent personas and capabilities, automatic conversation flow management, code generation and execution capabilities, human-agent collaboration modes, and extensive conversation logging and analysis tools. The framework excels at creating realistic multi-agent dialogues, automating complex problem-solving through agent collaboration, and building systems where different agents contribute specialized expertise. Popular among researchers in conversational AI, developers building collaborative agent systems, and teams automating complex decision-making processes. Known for robust conversation management, excellent integration with various LLM providers, and strong academic backing from Microsoft Research. Essential framework for building conversational multi-agent systems that feel natural and productive.
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Microsoft Research framework for building conversational multi-agent systems where multiple AI agents can interact, collaborate, and solve complex tasks through natural language conversations. Autogen enables the creation of sophisticated agent conversations with different roles, capabilities, and interaction patterns to tackle problems requiring diverse perspectives and skills. Features include multi-agent conversation orchestration, customizable agent personas and capabilities, automatic conversation flow management, code generation and execution capabilities, human-agent collaboration modes, and extensive conversation logging and analysis tools. The framework excels at creating realistic multi-agent dialogues, automating complex problem-solving through agent collaboration, and building systems where different agents contribute specialized expertise. Popular among researchers in conversational AI, developers building collaborative agent systems, and teams automating complex decision-making processes. Known for robust conversation management, excellent integration with various LLM providers, and strong academic backing from Microsoft Research. Essential framework for building conversational multi-agent systems that feel natural and productive.