Enterprise AI is an orchestration problem. We need systems that are modular, observable, and scalable – from our central data centers to the edge. This session is an architectural tour of how LangGraph.js provides the “glue” to connect these modern enterprise patterns in a TypeScript/Node.js environment.
We’ll start by framing the AI agent as a “Modular Monolith”—a single, deployable service built from testable, graph-based components. This explicit graph structure isn’t just for logic; it makes Observability a First-Class Citizen, allowing us to trace the agent’s cyclical reasoning in production.
Next, we’ll deploy this agent as an intelligent Backend-for-Frontend (BFF), empowering our full-stack applications with stateful orchestration. Finally, we’ll tackle the next frontier: Architecting for the Edge. We will explore patterns for managing persistent agent state in a hybrid environment, allowing our AI to run anywhere.
This talk is for the architect and engineer who needs to build and scale real-world, enterprise-grade AI applications.
This talk has been presented at JSNation US 2025, check out the latest edition of this JavaScript Conference.























