Managed Deep Agents v0.9 adds agent schedules, per-run configuration, and Slack reactions
Original titleManaged Deep Agents v0.9: schedules, per-run configuration, and Slack reactions
LangChain released Managed Deep Agents v0.9 in Public Beta, adding a Schedules SDK, per-run agent configuration, and Slack reactions.
Agents can create reminders, follow-ups, and recurring tasks mid-conversation, running as the requesting user and posting results back to the originating channel.
Per-run configuration lets one deployment choose the model, instructions, skills, MCP servers, and sandbox based on the run's context, and Slack reactions are on by default with a 👀 emoji.
The release shows how one agent deployment can be configured per run by channel or repo, separating tool access from model instructions.
Source: LangChain Blog · langchain.com