Where do AI agents actually live at runtime? 🤨 Everyone’s talking about multi-agent systems, but the deployment reality is often vague. “In the cloud” isn’t an architecture. Here’s the concrete picture: Agents are Dockerized microservices, running in Kubernetes or as serverless functions. Orchestrated via LangGraph, Temporal, or custom planners. Communicating through Kafka or gRPC. Triggered by events, APIs, or other agents. Backed by vector DBs and real-time memory stores. Governed by centralized registries and guardrails. It’s not magic. It’s system design. If we want agents to own business logic—decoupled from UI or app code—we need infrastructure that matches the autonomy we claim. The tech exists. 👇 Curious how you’re approaching this—are your agents already in production? #AIArchitecture #MultiAgentSystems #GenerativeAI #LLMops