LangChain Launches Async Sub-Agent Feature for Deep Agents
Current overview (not historical)
LangChain has introduced asynchronous sub-agents for Deep Agents. The orchestrator remains available to chat with users, while sub-agents run independently in the background and report results. Five tools are provided, including start_async_task and check_async_task, and users can interrupt or queue updates to running tasks. The design lets background work proceed without blocking user interaction. The capability is available in the Python version, the JavaScript version, and the hosted platform. Task notifications are still in testing, so the API may change.
Written with AI from the reporting · updated 11/5/2026
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- 1Unclassified fact stationNov 6, 04:04single sourcereport-time onlyrevised
LangChain 发布 Deep Agents 异步子代理功能
Read original source ↗ LangChain BlogReplay this moment in the explorerEvidence & revisions · 1 source records
- Subject:
- LangChain
- Action:
- 发布异步子代理功能
- Object:
- Deep Agents
- Occurred (fact side):
- not recorded
- Published (valid side):
- Nov 6, 04:03
- First seen (known side):
- Nov 6, 04:04
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- LangChain BlogRelated fact: single sourceFact occurrence time unverifiedSource report revisedLangChain Launches Async Subagents for Deep Agents to Enable Background Parallel Tasks
Report first recorded Nov 6, 04:04
LangChain announced async subagents for Deep Agents, letting an orchestrator stay available to users while background workers run tasks in parallel. The system provides five tools to start, check, update, cancel, and list async tasks, with interrupt or enqueue update strategies. It is available in Deep Agents for Python and JavaScript and Managed Deep Agents, while task notifications remain in beta.
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