LangChain adds cron schedules to Managed Deep Agents
Cron-driven prompts turn deep agents from on-demand tools into background workers that can run nightly reports or recurring checks without manual triggering. Developers building automation on LangChain should check the schedules/ directory setup in the Python docs. The feature competes directly with similar scheduling hooks in agent frameworks like OpenAI's Agents SDK workflows.
LangChain added a scheduling feature to Managed Deep Agents.
Users add a schedule file to a schedules/ directory containing a cron expression plus a prompt, then deploy.Once deployed, the agent runs itself on the defined schedule.
Documentation is available at docs.langchain.
com.
You can add schedules to Managed Deep Agents. 1️⃣ Add a schedule file to schedules/ with a cron expression + a prompt 2️⃣ Deploy ...And the agent runs itself 💻 Docs: docs.langchain.com/langsmith/pyth… M ⏯️ Demo from @ndrezn ⤵️
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LangChain, Deep Agents, cron, agents.
Source attribution: curated from LangChain (@LangChainAI).
