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
Memory for agents (conceptual video)
LangChain. Short, no-code walkthrough of the short-term-vs-long-term split, the three shapes long-term memory tends to take (instructions, profile, list of objects), and the hot-path-versus-background trade-off for when to write. The article's memory-architecture section assumes exactly this taxonomy.
AI Expert note
Under our view bar because the niche is small; it stays because the article's memory-architecture section assumes exactly this taxonomy — watch it first so the terms line up.
What you should get from this
Separate short-term and long-term memory decisions and decide when agent memory should be written.
Watch or know first
General agent-building context; no LangChain specifics needed.
Last reviewed: May 18, 2026
Watch next
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You can estimate when prompt caching pays off by weighing cache-write surcharges against read savings for your real workloads.
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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
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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
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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)