Best Chain of Thought Episodes on Multi-Agent Systems
Many agents, one system — orchestration patterns, protocols, and the overhead they add.
One agent is a software problem. Several agents talking to each other is a distributed-systems problem: partial failure and handoffs, running on models that don’t behave the same way twice. All four of these guests hit that in production rather than on a whiteboard, and they disagree with each other about where the coordination belongs.
- 1 Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar Mikiko Chandrasekhar, MongoDB Mikiko Chandrasekhar on treating agents as software products and applying real engineering discipline to them — the thing that keeps a multi-agent system reliable when nothing inside it is deterministic.
- 2 The Emerging AI Agent Stack | CrewAI’s João Moura João Moura, CrewAI CrewAI’s João Moura maps the orchestration layer everyone is racing to standardize, and is blunt about how many more failure modes you inherit the moment there is more than one agent.
- 3 Why Enterprises Need a Different Approach to AI Agents | Lyzr’s Siva Surendira Siva Surendira, Lyzr Lyzr’s Siva Surendira walks the actual orchestration shapes — managerial, DAG, hybrid — and where each one runs into an enterprise’s integration and data-readiness limits.
- 4 Architecting Reliable Agentic AI | Cisco’s Giovanna Carofiglio on the AGNTCY Collective Giovanna Carofiglio, Cisco Cisco’s Giovanna Carofiglio on AGNTCY and the Internet of Agents: agent discovery, the transport layer under agent-to-agent traffic, and why MCP and A2A are solving different problems.
- 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 Agents How agents actually work — architecture, memory, context, frameworks.
- 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 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.