5 minutesClaude has taken control of my computer...
Understand why screenshot-based computer use is powerful, slow, expensive and brittle compared with API-native automation.
AdvancedAutomations
Building Brain-Like Memory for AI | LLM Agent Memory Systems
Adam Lucek. A longer implementation pass through the cognitive-science-inspired categories — episodic, semantic, working, procedural — wired into an agent in code. Worth watching after the LangChain conceptual video if you want a more opinionated mental model and a working example to crib from.
AI Expert note
The cognitive-science labels are a mental model, not a spec — use the working example as something to crib from rather than an architecture to adopt wholesale.
What you should get from this
You can wire episodic, semantic, working and procedural memory into an agent in code, not just name the categories.
Watch or know first
Comfortable reading agent code; watch the conceptual primary pick first.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
Microsoft (open-source, via GitHub Pages)Copilot Studio Agent Academy
Microsoft Copilot Studio team
The deeper, production-minded counterpart to our beginner no-code pick: a free, open-source, rank-based curriculum that takes you from zero Copilot Studio experience through MCP integrations and multi-agent orchestration, all without writing traditional code. It's the no-code answer to 'now I want to go further than a quick-start,' which our catalog didn't have.
AdvancedSelf-paced, multi-phase (hours vary by rank)
Anthropic AcademyIntroduction to Model Context Protocol
Anthropic Academy
MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.
IntermediateSelf-paced (short)
DeepLearning.AIPractical Multi AI Agents and Advanced Use Cases with crewAI
João Moura (Founder, CrewAI)
Doubles as our sales and customer-support vertical pick and a genuinely practical agent-building course: you build an agentic sales pipeline (lead scoring, personalized outreach) and a customer-support data-insights pipeline as two of the five hands-on projects, taught by CrewAI's own founder. Requires basic Python, so it sits with our other builder-track courses rather than the no-code picks.
Intermediate~2h 49m · self-paced (15 lessons)