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Course

Agents That Remember: Context Engineering & Memory

7 lessons

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One whole course is free. After that, one payment of $10 opens all 19 courses in the catalogue today. What’s included →

Build agents that remember. An agent's memory is just plain markdown files it reads, searches and updates for itself. Set that up and the agent gets better at your work every time it runs. You will keep deep detail out of the context window with progressive disclosure. You will stop two agents overwriting each other, using hashing and versioning. And you will decide what stays read-only and what an agent may rewrite. Predict, drag and decide your way through.

What you’ll learn

  1. 1.Why Intelligence Doesn't Compound

    A smarter model doesn't automatically make a better agent. Context — memory of your work — is the multiplier, and it has evolved fast: from one markdown file to autonomous file-system memory.

    3 lessons

    1. Stop prompting — start building memory
    2. Why a smarter model doesn't help yet
    3. How agent memory grew up in a year

  2. 2.The Memory Playbook

    The state of the art in two moves: progressive disclosure (deep detail without context bloat) and modeling memory as a plain file system the agent searches itself — Format, Reading, Writing.

    2 lessons

    1. Progressive disclosure — the bookshelf
    2. Model memory as a file system

  3. 3.Productionizing Memory

    The neat idea meets reality: many agents, long runs, shared files. Solve concurrency with versioning + hashing, set read-only vs read-write permissions, keep memory portable — and watch capability compound.

    2 lessons

    1. Concurrency — versioning & hashing
    2. Permissioning, portability & the payoff

How this course works

This is an interactive course, not a video playlist. Lessons mix short explanations with hands-on activities — quizzes, drag-and-drop exercises, branching scenarios and step-ordering challenges — and you have to complete each activity before moving on, so you practise rather than skim. Your progress is saved as you go, so you can stop after any lesson and pick up where you left off.

Topics covered

  • ai
  • agents
  • context-engineering
  • memory
  • anthropic
  • interactive