Autogen - conversational multi-agent framework

AutoGen is Microsoft Research's pioneering framework for creating conversational multi-agent systems where AI agents engage in dynamic conversations to solve complex problems collaboratively. The platform enables developers to build agent teams that can engage in rich, interactive dialogues, negotiate solutions, and iteratively refine their approaches through natural conversation patterns. Key features include flexible conversation patterns, role-based agent design, human-AI collaboration capabilities, and support for various large language models. AutoGen agents can work together on coding tasks, data analysis, creative writing, and complex problem-solving through structured dialogue flows. The framework supports both autonomous agent interactions and human-in-the-loop workflows, making it ideal for scenarios requiring nuanced discussion and iterative refinement. AutoGen has been widely adopted in research and enterprise environments for building sophisticated conversational AI systems. The platform provides robust conversation management, agent memory systems, and integration capabilities with external tools and APIs. Perfect for applications requiring collaborative intelligence through natural language interaction between multiple specialized agents.