lagent
This project, drawing inspiration from PyTorch, supports the development of multi-agent applications by streamlining the process of defining neural network-style layers and message passing. Core features encompass communication via 'AgentMessage', memory management for message tracking, customizable message aggregation, consistent response formatting, and structured tool use. It also offers APIs for both synchronous and asynchronous processing, enhancing efficiency in debugging and large-scale projects. Explore novel implementations for problem-solving and content generation using single or multiple agent systems.
