agentscope-skill

Building multi-agent applications with LLMs requires a framework that supports agent creation, message passing, and tool integration. This Skill provides orchestration tools to develop, evaluate, and deploy these systems.

Multi-agent orchestration coordinates conversations and workflows between multiple AI agents. You need it when building complex systems where agents collaborate, such as customer support platforms accessing shared knowledge bases.

Yes, this framework supports enterprise-grade AI deployment by providing tools for evaluating agent performance, managing memory, and structuring outputs for comprehensive, scalable multi-agent systems.

Agent development here includes built-in capabilities for memory management and tool integration, allowing you to build agents that maintain context and execute structured outputs within multi-agent workflows.

Yes, using this framework requires an understanding of agentic workflows and LLM interactions to effectively design multi-agent conversations, evaluate agent performance, and manage deployment patterns.

The best way to start developing a multi-agent framework is to clone the AgentScope repository locally, which provides access to examples and documentation for building and orchestrating agents.