is an open-source framework that simplifies the creation and orchestration of AI agents, enabling multi-agent collaboration to solve complex tasks. It supports both autonomous and human-in-the-loop workflows, while offering compatibility with a range of LLMs and tools for agent interaction. One of our teams used Autogen for a client to build an AI-powered platform where each agent represented a specific skill, such as code generation, code review or summarizing documentation. The framework enabled the team to create new agents seamlessly and consistently by defining the right model and workflow. They leveraged LlamaIndex to orchestrate workflows, allowing agents to manage tasks like product search and code suggestions efficiently. While Autogen has shown promise, particularly in production environments, concerns about scalability and managing complexity as more agents are added remain. Further assessment is needed to evaluate its long-term viability in scaling agent-based systems.
