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In this episode, we dive into MCP (Memory, Code, and Planning) — the foundational trio that powers truly context-aware agentic AI. We break down how memory enables continuity, code execution enables action, and planning allows agents to set and pursue long-term goals. Together, these elements allow AI agents to go beyond simple prompts and react intelligently to complex, evolving environments. Whether you're building enterprise agents or experimenting with AI workflows, this episode explores why MCP is essential for scalable, autonomous systems that think before they act.
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In this episode, we dive into MCP (Memory, Code, and Planning) — the foundational trio that powers truly context-aware agentic AI. We break down how memory enables continuity, code execution enables action, and planning allows agents to set and pursue long-term goals. Together, these elements allow AI agents to go beyond simple prompts and react intelligently to complex, evolving environments. Whether you're building enterprise agents or experimenting with AI workflows, this episode explores why MCP is essential for scalable, autonomous systems that think before they act.
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