Systems of agents are an effective way for large language models to autonomously handle large or complex tasks. Implementing systems of agents is simple with Griptape. In this sample application, we define three separate agents, a workflow agent that manages task allocation, a researcher, and a writer. Once deployed, you can make requests of the workflow agent and this will decide when and how to engage the other agents to complete tasks. This sample will help you get started with building systems of autonomous agents with Griptape.
