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Stanford CS146S: How always-on agents work
Stanford CS146S: How always-on agents work
LleerobFull transcript
English
Summary:Lee Robinson's Stanford lecture walks an always-on agent's architecture: a server-side loop on Firecracker microVMs, Temporal workflows, a one-tool thin client, prompt-cache discipline, warm-window compaction, three-layer memory, autoreview, building for the next model.
Core points (3)
Core points (3)
- 1The thin client exposes exactly one tool; any new surface attaches at zero cost.
- 2Prompt-cache discipline is a first-class constraint; a cache miss is treated as a bug.
- 3Delete the product: build for the next model, assuming today's is the worst.