The layer that makes your AgenticOS learn, one non-obvious fact at a time.
Every session that starts cold is a session that re-learns what you already know. The agent you corrected yesterday will make the same mistake tomorrow. The decision you made two weeks ago will get relitigated next Tuesday. The quirk of your codebase that took forty-five minutes to explain will take another forty-five minutes. Again.
Memory is the layer that fixes this. Not memory in the fuzzy "AI remembers things" sense, but a concrete, version-controlled directory of short markdown files that captures the non-obvious facts your agent should start with on every session. Write it correctly and your AgenticOS accumulates context over time. Skip it and every session starts with a blank slate, which means every session is subtly slower than it should be.
Here is the format, the four types, the mechanics, and, critically, what not to save, because the most common mistake with memory is filling it with things the codebase already contains.
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