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LangChain says most Managed Deep Agents runs now come from schedules

2 articles2 sourcessince Oct 28Last article 2h ago ·

Overview

AISummary of 2 articles

LangChain says more than 70% of Managed Deep Agent (MDA) runs on LangSmith are triggered by schedules rather than by a person typing a message.

The company gives this figure for the period since it launched dynamic scheduling for MDA in September.

In a LangChain Blog post, the company says nearly all emerging proactive agents run as cron tasks that start agent runs on a schedule. It names four cron-driven behaviors: memory consolidation, proactive messages, smart triage, and follow-up reminders.

LangChain says teams can distribute a proactive agent across their organization using the mda init and mda deploy commands.

Written by AI from the articles below · updated Oct 28, 1:03 PM ET

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Developments

2 developments

  1. Oct 28, 12:18 PM ET · 1 article
    LangChain describes building proactive agents with Managed Deep Agents and scheduled runs
    LangChain: LangChain says over 70% of Managed Deep Agents runs are scheduled
  2. Oct 28, 12:00 AM ET · 1 article
    LangChain explains how cron jobs power proactive, always-on AI agents
    LangChain Blog: LangChain explains how cron jobs power proactive, always-on AI agents

Article timeline

The articles in this story. Times are ET.

Oct 28
  1. LangChainOfficial
    LangChain says over 70% of Managed Deep Agents runs are scheduled

    AILangChain says over 70% of Managed Deep Agents runs on LangSmith come from schedules rather than human messages, since it launched dynamic scheduling in September. It says teams can distribute a proactive agent in their organization with mda init and mda deploy.

    Image from @LangChain's post
  2. LangChain BlogOfficial
    LangChain explains how cron jobs power proactive, always-on AI agents

    AILangChain says nearly all emerging proactive agents run as cron tasks that trigger agent runs on a schedule. The post names four cron-driven behaviors: memory consolidation, proactive messages, smart triage, and follow-up reminders. It says more than 70% of Managed Deep Agent runs on LangSmith come from scheduled runs rather than a human typing a message.

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