So you’ve built some LangChain agents that work great locally (and even when deployed). The next challenge is putting them into a real agentic system that's robust, easy to maintain, and designed to handle more than just individual agents.

In production, LangChain agents are usually part of something bigger. You’re coordinating multiple agents, external services, tools, and sometimes humans, all working together as one cohesive system. To make that work well, you need orchestration, visibility into execution, clear error handling, and a structure that doesn’t become harder to manage as the system grows.

In this coffee chat, we’ll show how to take the LangChain agents you’re already building and run them inside Orkes Conductor as part of a production-ready agentic system.

Conductor provides workflow orchestration, state management, and observability, so your LangChain agents fit cleanly into a system that’s built to scale and evolve over time. I am particularly excited to show you how this evolution can happen super easy.

We’ll also cover how to add Human-in-the-Loop checkpoints, making it easy for humans to step in when needed without disrupting the rest of the workflow.

Whether you’re just starting with LangChain or already running agentic workflows in production, you’ll leave with practical patterns for building systems that are easier to operate and maintain. And we’ll leave time for questions, because that’s usually where the best insights show up.