Someone finally explained the whole agent harness stack in 20 minutes, for free:
- 03:37 - what a harness really means
- 05:07 - storing and updating memory: databases, skills, summarizer agent
- 10:52 - loop engineering and end-loop guardrails
- 14:18 - eval and LLM Ops: why you need them
- 18:57 - zoom out: the full system
most people are still prompting one agent at a time
this is the layer above: the harness that gives the agent memory, tools, evals and a loop that knows when to stop
watch it today, then read the full architecture in the article below
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