AI agent frameworks provide developers with tools and components for building, connecting, and managing intelligent agents. They can simplify functions such as planning, memory, tool calling, workflow orchestration, and communication between multiple agents. Choosing the right framework depends on factors such as the use case, technology stack, scalability requirements, integrations, and level of control needed.
