Introducing Managed Deep Agents | Interrupt 26

At LangChain's agent conference Interrupt, we announced Managed Deep Agents in private beta, an API-first hosted runtime for creating, running, and operating deep agents.

Deep Agents gives developers an open-source harness for building agents that can plan, use tools, delegate to subagents, write files, and work over long horizons. Managed Deep Agents gives those agents a durable home in LangSmith.

With the Managed Deep Agents API, you can create, update, manage, and run agents programmatically from your own application or internal platform workflow.

In this Interrupt 26 keynote, Sydney Runkle and Victor Moreira demonstrated what's new in LangChain for building and deploying Deep Agents in production.

Introducing Managed Deep Agents | Interrupt 26
00:00 Introduction: Sydney and Victor
00:20 What is an agent? Model + tool-calling loop
00:42 What is a harness? Defining the concept
01:07 The harness: skills, memory, tools, sub-agents
01:10 Job of a harness: right context at the right time
01:26 Why you need a harness: five agent requirements
02:14 What is Deep Agents?
02:26 The four capabilities of the Deep Agents harness
02:35 Capability 1: Execution environment and file system
03:53 Sandboxes and code interpreters
04:48 Capability 2: Context management
05:15 Summarization, context offloading, and memory
05:47 Prompt caching and skills (progressive disclosure)
06:43 Capability 3: Delegation and sub-agents
07:20 Why sub-agents matter: isolated context and parallelization
08:06 Capability 4: Human-in-the-loop steering
08:35 Four human-in-the-loop decision patterns
09:03 Why Deep Agents: provider-agnostic, customizable, middleware
10:25 Going to production is hard — handoff to Victor
10:52 Introducing Managed Deep Agents (private beta)
11:19 The four pillars of Managed Deep Agents
11:38 Pillar 1: Runtime — built on LangSmith deployment
12:23 Durable execution and checkpointing
13:13 Security and auth layers (RBAC, ABAC, MCP tools)
14:03 Agent interoperability: remote graph, Agent-to-Agent protocol
14:37 Bringing agents where you work
15:07 Pillar 3: Context Hub integration
15:51 LangSmith Engine integration
16:12 Pillar 4: LangSmith Sandboxes
16:53 Auth proxy and snapshot/restore
17:07 Wrapping up: private beta and waitlist

Extra resources:
• Everything we shipped at Interrupt: https://www.langchain.com/blog/interrupt-2026-overview
• Introducing Managed Deep Agents: https://www.langchain.com/blog/introducing-managed-deep-agents
• About Deep Agents: https://www.langchain.com/deep-agents
• About LangChain: https://www.langchain.com/