Managed Deep Agents | Deploying mission critical agents to production

Victor Moreira, Product Manager at LangChain, introduces Managed Deep Agents, now in public beta, which bundles the Deep Agents harness with managed LangSmith infrastructure so you can define an agent as a folder of instructions, skills, and tools, test it locally, and deploy it with the mda CLI. Using LangChain's internal go-to-market agent as the example, he walks through the questions that come up in production and how Managed Deep Agents answers them: caller identity across Slack and web surfaces, user and agent-scoped credentials that can pause mid-task for a user to authenticate, memory with access control by channel, versioned context in Context Hub, and Harbor evals traced to LangSmith experiments. He also shares how Madrigal built a pharmaceutical research agent with Deep Agents on LangSmith and how the team at Consensus builds agents for different parts of its organization, and closes with what is new in the 0.8 release, including HTTP channels, user-scoped memory, Slack file transfers, and built-in search powered by Parallel. This session was captured at Interrupt New York City, the agent conference by LangChain. LangChain products in this talk: Managed Deep Agents, Deep Agents, LangGraph, LangSmith, LangSmith Deployment, LangSmith Sandboxes, LangSmith Context Hub Speakers: Victor Moreira, Product Manager, LangChain Chapters: 0:00 What is an agent harness, and why does context matter? 1:26 The four core areas that make up a deep agent 3:15 Madrigal spins up research agents in hours instead of weeks 3:59 What changes when a local agent goes to production? 5:32 How Managed Deep Agents bundles harness and infrastructure 6:37 An agent as a folder, shipped with three mda commands 7:43 How LangChain's GTM agent maps onto files 8:34 Who is asking, and whose account should the agent use? 10:42 Which memories can the agent use in a DM or shared channel? 11:40 Versioned context in Context Hub and evals with Harbor 13:15 How Consensus builds agents for different parts of its org 14:18 What's new in the Managed Deep Agents 0.8 release Resources: → Managed Deep Agents docs: https://docs.langchain.com/langsmith/python/managed-deep-agents-overview → Deep Agents: https://www.langchain.com/deep-agents → LangSmith Deployment: https://www.langchain.com/langsmith/deployment → LangSmith: https://www.langchain.com/langsmith → Interrupt, the agent conference by LangChain: https://interrupt.langchain.com