Many AI teams treat memory and context as the same thing. They aren't.
Context is what the model sees right now. Memory is what survives after the session ends.
That distinction doesn't matter in a demo. It matters when an agent needs to pick up where it left off.
That's where Walrus Memory fits: a portable memory layer for AI agents, persistent across sessions and shared across workflows.
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