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LangChain adds async subagents to Deep Agents

Async subagents let orchestrator agents remain responsive to users while background subagents complete long tasks in parallel.

LangChain adds async subagents to Deep Agents — image from LangChain
Image: LangChain

Summary

LangChain introduced async subagents to Deep Agents across Python, JavaScript, and Managed Deep Agents. An orchestrator agent stays available to interact with users while background subagents execute long tasks in parallel. The orchestrator uses five management tools to start, monitor, update, cancel, and list background tasks.

What changed

  • LangChain launched async subagents in Deep Agents for Python, JavaScript, and Managed Deep Agents.
  • Orchestrator agents stay reachable to users while background workers handle long-running tasks.
  • The orchestrator manages subagents using tools to start, check, update, cancel, and list tasks.
  • Task notifications remain in beta while the API is finalized.

Availability

Available now

“Async subagents are available in Deep Agents for Python and JavaScript , and in Managed Deep Agents”

Founder takeaway

If you build multi-step AI agents with LangChain, you can set subagents to run asynchronously so user interactions are not blocked by long background tasks.

Source

LangChainAgents Are Going Async

Announced Checked

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