Architecting for Reliability in the Age of Multi-Agent Systems We are currently over-indexing on "Model Orchestration." Every week, a new library, a new vector database, or a new framework tops the GitHub trending charts. This week it might be LangGraph . The next CrewAI . Something else right behind it. Every week the same question shows up: "Which stack should I use to build a reliable multi-agent system?" It's the wrong question. Because I've yet to see a system fail because to the wrong framework, language, or database. I've seen them fail because they couldn't recover state, couldn't control context, and couldn't explain what they just did. There’s a persistent belief that the logo on the documentation is the secret sauce for a production-ready system. It isn’t. In fact, if you’re spending the majority of your time debating the stack, you’re missing the architectural patterns that actually determine whether your agents will succeed or hallucinate into oblivion.…