LangChain releases Managed Deep Agents v0.9 with Schedules SDK and per-run configuration

LangChain has released Managed Deep Agents v0.9, introducing a Schedules SDK that lets agents create their own reminders, follow-ups, and recurring tasks mid-conversation.

The release adds per-run configuration, allowing developers to select the model, skills, MCP servers, and sandbox for each run so a single deployment can serve different teams or repositories. In addition, Managed Deep Agents now supports Slack reactions, enabling agents to react to messages immediately upon starting a run, as detailed in LangChain's [release blog post](https://www.langchain.com/blog/managed-deep-agents-schedules-per-run-configuration-slack).