agentscope-skill

Develop, evaluate, and deploy multi-agent LLM applications with tool integration and memory management.

2|Updated Mar 10, 2026

Search Tags:#llm #multi-agent #agent development #orchestration #framework #agentscope

Ready to run

npx skills add https://github.com/caoronglin/copaw-skills --skill agentscope-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentscope-skill
Source: https://github.com/caoronglin/copaw-skills/tree/main/skills/agentscope-skill
Command: npx skills add https://github.com/caoronglin/copaw-skills --skill agentscope-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the development, evaluation, and deployment of complex multi-agent applications powered by large language models.

Core Features & Use Cases

Agent Development: Build agents with memory, tool use, and structured output capabilities.
Multi-Agent Orchestration: Design sophisticated conversations and workflows between multiple agents.
Evaluation & Deployment: Tools for assessing agent performance and deploying applications.
Use Case: Develop a customer support system where multiple AI agents collaborate to understand user queries, access knowledge bases, and provide comprehensive solutions.

Quick Start

Clone the AgentScope repository to your local machine to access its examples and documentation.

Frequently Asked Questions about agentscope-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build multi-agent applications with LLMs?▼

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.

What is multi-agent orchestration and when do I need it?▼

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.

Can I use this framework for enterprise-grade AI deployment?▼

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.

How do I manage memory and tool use in agent development?▼

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.

Do I need prior experience with agentic workflows to use this framework?▼

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.

What is the best way to start developing a multi-agent framework?▼

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.