A Practical Agent Memory Architecture: What to Keep, Retrieve, Revise, and Forget
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A Practical Agent Memory Architecture: What to Keep, Retrieve, Revise, and Forget A bigger context window enlarges what you can store. It does not decide what your agent should actually use. This is a build checklist for the part that does. Here is the mental model to start from. Context is the working set, the few things the model reasons over this turn. Memory is the policy that decides what reaches that working set from a much larger store. A million-token window makes the store bigger. It…
1Key Takeaways
- A Practical Agent Memory Architecture: What to Keep, Retrieve, Revise, and Forget A bigger context window enlarges what you can store.
- It does not decide what your agent should actually use.
- This is a build checklist for the part that does.
- Here is the mental model to start from.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a Practical Agent Memory Architecture: What to Keep, Retrieve, Revise, and Forget A bigger context window enlarges what you can store.
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