CrewAI vs AutoGen

CrewAI is an AI framework built for creating teams of collaborative agents that can work together to achieve complex goals.

Instead of relying on a single large language model to handle everything, CrewAI allows developers to assign specialized roles to multiple agents, each with distinct tasks and responsibilities.

These agents can communicate, delegate work, and combine outputs to deliver more accurate and comprehensive results.

CrewAI supports flexible configurations, making it possible to design agent “crews” for workflows such as research, code generation, data analysis, or customer support.

AutoGen is an open-source framework developed by Microsoft for building multi-agent AI systems and advanced LLM-powered applications.

It enables developers to create autonomous agents that can collaborate, converse, and solve problems together, or with human feedback integrated into the loop.

AutoGen provides abstractions for defining roles, tasks, and communication protocols between agents, allowing flexible setups from simple assistants to complex, multi-agent ecosystems.

It is designed for rapid prototyping as well as production deployment, with features like conversation orchestration, human-AI collaboration, and tool integration.