@unicodef1wn: Ex-Google engineer explained AI agent memory in 12 minutes better than $500 courses. user prompt → working memory → LLM…
Summary
An ex-Google engineer explains AI agent memory architecture in 12 minutes, covering working memory and three memory layers (procedural, semantic, episodic) with a summarizer to prevent token bloat, as used by Claude.
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Ex-Google engineer explained AI agent memory in 12 minutes better than $500 courses.
user prompt → working memory → LLM → reply. Stack procedural, semantic, episodic memory on top.
A summarizer steels episodic into semantic every N messages.
That’s how Claude remembers you without bloating tokens.
Working memory + 3 memory layers + summarizer that’s the stack.
Watch it, then save the framework above.
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