Best Chain of Thought Episodes on AI Agents
How agents actually work — architecture, memory, context, frameworks.
Ask ten people what an AI agent is and you’ll get ten answers, most of them a product description. This is the closest the show gets to a straight one: what the layers actually are, and where the leverage went once the frameworks commoditized. Ordered newest first, because no topic on the show has moved faster.
- 1 The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu Jerry Liu, LlamaIndex Jerry Liu on why the framework matters less than the context you feed it — where the real leverage in agents moved.
- 2 Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle Richmond Alake, Oracle Richmond Alake on memory as the layer that decides whether an agent works across sessions — the part most teams under-build.
- 3 Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar Mikiko Chandrasekhar, MongoDB Mikiko Chandrasekhar on when many agents beat one — and the coordination problems that come with them.
- 4 The Emerging AI Agent Stack | CrewAI’s João Moura João Moura, CrewAI CrewAI’s João Moura maps the emerging agent stack — the layers you’re actually assembling when you build one.
- 5 Got Agents? Agentic Workflows & Architecture | Weaviate, Unstructured & CrewAI Brian Raymond, Bob van Luijt & João Moura A foundational round on agentic workflows and architecture — the anatomy of an agent before the hype.
- Best Chain of Thought Episodes for AI Founders Building an AI company — defensibility, GTM, and the market reality.
- Best Chain of Thought Episodes for Engineers Shipping with AI — the craft, the workflow, and the reality checks.
- Best Chain of Thought Episodes on AI Evaluation Measuring whether AI actually works — evals, reliability, trust.
- Best Chain of Thought Episodes on Agent Memory How agents remember — memory stores, context engineering, and what breaks without them.
- Best Chain of Thought Episodes on Multi-Agent Systems Many agents, one system — orchestration patterns, protocols, and the overhead they add.
- Best Chain of Thought Episodes on Open Source AI Open weights, open ecosystems, and what they actually cost in production.
- Best Chain of Thought Episodes on AI Coding Agents What changes downstream when agents write most of the code.
- Best Chain of Thought Episodes for Enterprise AI Leaders Getting AI past the pilot — ROI, rollout, and the data underneath it.
- Best Chain of Thought Episodes on AI Security Attacking agents, defending them, and the part software cannot cover.
- Best Chain of Thought Episodes on RAG & Retrieval Getting the right context to the model: chunking, vectors, graphs, and what breaks at scale.