AgentScope AI: A Complete Guide to Building Scalable Multi-Agent Systems with LLMs 

Modern AI applications rely on intelligent agents that think, cooperate, and execute complex workflows, while single-agent systems struggle with scalability, coordination, and long-term context. AgentScope AI addresses this by offering a modular, extensible framework for building structured multi-agent systems, enabling role assignment, memory control, tool integration, and efficient communication without unnecessary complexity for developers and […]

The post AgentScope AI: A Complete Guide to Building Scalable Multi-Agent Systems with LLMs  appeared first on Analytics Vidhya.