Added Long term Memory with MCP Server to Agentic AI - Uncovered Weaknes...

Added Long term Memory with MCP Server to Agentic AI - Uncovered Weakness of Prompts & How I fix it

Have you ever noticed your "smarter" Agentic AI making questionable decisions? You've successfully built an agent with a few tools, but as you add more power—a new database, a web search tool, a memory server—you realize a strange problem: the agent gets confused and doesn't always pick the best tool for the job.

This is the hidden challenge of scaling Agentic AI. This video tells the story of what happened when I added our fifth MCP server—a powerful long-term memory. Instead of using its new brain to work more efficiently, the agent got overwhelmed by its options and defaulted to old habits, ignoring its powerful new capabilities.

This is where your skills as a developer evolve from just writing code to becoming an AI "manager." We'll dive deep into the art of Prompt Engineering, showing how the prompt isn't just a list of instructions, but the agent's core decision-making logic. See how a simple, permissive prompt leads to confusion, and how a well-designed, directive prompt can guide your agent to make the optimal choice every single time.

This video covers:

  - The Challenge of Tool Proliferation & Uncover Weakness of Prompt : Why an agent with more tools can become less effective without proper guidance.

  - Building a Long-Term Memory Server: A line-by-line walkthrough of the memory_server.py using MCP, FAISS, and SentenceTransformers.

  - LIVE DEMO (The Problem): Watch our powerful 5-tool agent get confused and choose a suboptimal path, ignoring its brand-new memory.

  - The Power of the Prompt: Analyzing why the agent failed and how to diagnose flawed "thinking" patterns. 

  - LIVE DEMO (The Solution): Restructuring the agent's core prompt to enforce a clear "Recall-Act-Memorize" strategy, forcing it to think more intelligently.

  - Future-Proofing Your Agent: A look ahead at how RAG and Fine-Tuning can further control agent behavior in highly complex environments. Also Automated Modularized Prompt Generation

  

If you're building an Agentic AI with more than two tools, this video is for you. Learn how to manage the growing complexity and ensure your agent's intelligence scales with its capabilities.

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