Build scalable Multiagent Memory Architectures

Lightning Lessons

Practical skills & tools to accelerate your career

Build scalable Multiagent Memory Architectures

Hosted by Carmelo Iaria

239 students

What you'll learn

Architect Multi-Layer Memory Systems for Enterprise Scale

How to design and implement CrewAI's four memory types (Short-Term, Long-Term, Entity, Contextual) with custom storage

Build Self-Improving Agents Through Memory Optimization

Configure memory persistence and retrieval patterns enabling agents to learn from interactions and improve over time

Implement Production-Ready Memory Performance Patterns

Master memory storage optimization with vector databases and caching for enterprise-grade speed and reliability

Why this topic matters

Most developers use CrewAI's default memory without realizing it's costing them scalability and intelligence. Master advanced memory architecture and you'll build agents that actually learn from interactions, remember context across sessions, and scale to enterprise workloads. This separates amateur implementations from production-grade systems that command premium consulting rates.

You'll learn from

Carmelo Iaria

Founder & CEO at Synaptic AI Consulting | Perplexity Business Fellow

AI strategy leader and technology innovator with 30+ years’ global experience spanning Silicon Valley, Europe, and Brazil. Former Head of Innovation at Claro Brasil and Product Management leader at Cisco; founder of Synaptic and The AI Academy. Expert in building and deploying real-world AI solutions for Fortune 500s and high-growth startups. Passionate about bridging business and technology, I empower professionals to master the entire AI lifecycle—turning ideas into working products that deliver measurable impact

Previously at