Skills vs MCP vs RAG vs Memory: What AI Agents Need to Know
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AI agents require more than just training data to effectively tackle real-world challenges. Martin Keen explains four fundamental techniques crucial for modern AI agents: Skills, MCP, RAG, and Memory. He details when to apply each approach, how they integrate, and their distinct roles in enabling AI agents to access information, execute procedures, and learn from past experiences. This comprehensive understanding is vital for developing robust AI solutions.
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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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