Skills vs MCP vs RAG vs Memory: What AI Agents Need to Know
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人工智能代理需要超越训练数据，才能有效解决现实世界中的问题。Martin Keen 详细阐述了现代人工智能代理所依赖的四种核心技术：Skills（技能）、MCP、RAG（检索增强生成）和 Memory（记忆）。他解释了每种方法的使用时机、它们如何协同工作，以及它们在帮助人工智能代理获取信息、遵循程序和从经验中学习方面所扮演的不同角色。了解这些技术对于开发强大的人工智能解决方案至关重要。
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AI agents need more than training data to solve real-world problems. Martin Keen breaks down four core techniques used in modern AI agents: Skills, MCP, RAG, and Memory. Learn when each approach should be used, how they work together, and why they play different roles in helping AI agents access information, follow procedures, and learn from experience.
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