Let’s explore how AI Agents remember, learn, and improve over time — just like humans.
Key Takeaways:
Why Memory is important for AI Agents
How memory can be enabled in AI Agents using Langchain,
AI Agents with self managing memory using MemGPT
Why memory is the secret ingredient behind truly adaptive AI systems.
Lesson 4 – AI Agent Evaluation
AI Agents can plan, reason, and act — but how do we know if they’re doing it correctly?
Lesson 5 – MCP and A2A
Let’s break down MCP (Model Context Protocol) — the missing layer that lets AI Agents safely and reliably use tools like databases, APIs, files, and services. Through humour, simple analogies, and real-world examples, Jigyaasu and Saral explore:
Why AI Agents fail even when the logic is correct
What MCP Servers are and who builds them
How MCP cleanly separates agents from tools
How MCP makes AI Agentic systems scalable, maintainable, and safe
Lesson 6 – AI Agent Security – 1
Let’s learns why AI Agent security isn’t just a technical concern, but a leadership and business imperative. From prompt injection and hallucinations to data leaks and reputation damage, we explore what can go wrong when AI systems are deployed without guardrails. Through simple analogies, real-world incidents, and a bit of humour, Saral breaks down:
Why prompt injection is more than a prank
How AI Agents can unintentionally leak sensitive data
Why hallucinations can become legal and reputational risks
The hidden cost of deploying AI without proper safeguards
Why AI security is about trust, not just technology
Lesson 7 – AI Agent Security – 2
AI Agents are powerful, but they’re also vulnerable.
In this episode of Almost Human, we explore real-world AI security failures, including prompt injection, hallucinations, and agent misuse (yes, even recommending competitors!).
Learn how attackers exploit AI Agents using natural language, why traditional security doesn’t work, and what practical safeguards actually help: delimiters, proxies, JSON validation, moderation APIs, LlamaGuard, and keeping humans in the loop.
If you’re building with LLMs or AI Agents, this is a must-watch to understand modern AI threats — and how to defend against them.
Topics covered:
Real AI Agent incidents
AI security best practices
Moderation APIs
Llama Guard
Agentic AI courses exclusively for senior IT professionals
If you’re a senior IT professional looking to design and lead real AI systems, I run instructor-led, live Agentic AI programs focused on production trade-offs, and decision-making.
If you have questions, feedback, or disagree with something in this article, I’d love to hear your perspective. Connect with me on LinkedIn: https://www.linkedin.com/in/nikhileshtayal/
