AILangChain 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.
Why it matters: The release shows how one agent deployment can be configured per run by channel or repo, separating tool access from model instructions.