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  1. 1Tool use
  2. 2Agent loops
  3. 3Memory and context
  4. 4Safety and evaluation
← Agentic AI

Lesson 3 of 4

Memory and context

Watch, read the card, then practise. Agent memory · Managing context

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Meanwhile, the notes below and the 60-second cards cover the same ideas.

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  • Agent memory

    Short-term memory is the current conversation; long-term memory is saved notes the agent looks up later.

    Remember: Save facts, not whole conversations.

  • Managing context

    Context management keeps the most useful information inside the model's context window as a session grows.

    Remember: Every token in the window should earn its place.

Try the example in Code Lab

memory = ["prefers Hindi explanations", "weak in SQL joins"]
print([m for m in memory if "join" in m])
← Agent loopsNext: Safety and evaluation →

In this lesson

  • Agent memory
  • Managing context

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