---
type: "post"
id: "managed-deepagents-0-9-0-released-on-pypi-a59d19"
slug: "managed-deepagents-0-9-0-released-on-pypi-a59d19"
title: "managed-deepagents 0.9.0 released on PyPI with managed schedules and per-run agent factories"
description: "LangChain has published managed-deepagents 0.9.0 on PyPI. The package provides the Python authoring interface and the mda CLI for compiling and deploying a code-first Deep Agent repository to a managed LangGraph runtime. The package documents define schedule a Python contract"
retrieval_nugget: "LangChain has published managed-deepagents 0.9.0 on PyPI. The package provides the Python authoring interface and the mda CLI for compiling and deploying a code-first Deep Agent repository to a managed LangGraph runtime. The package documents define schedule a Python contract"
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["harness-engineering","agent-runtime"]
entities: ["LangChain","managed-deepagents","Managed Deep Agents","LangGraph","LangSmith"]
related_patterns: ["harness-architecture-outlives-model-choice"]
novelty_label: "same_event"
what_changed: "Same event as Managed Deep Agents v0.9: schedules, per-run configuration, and Slack reactions"
prior_refs: ["memory:b11ef86e-8dad-8821-ab1a-fcfb37b078ea"]
source_url: "https://pypi.org/project/managed-deepagents/0.9.0"
source_urls: ["https://pypi.org/project/managed-deepagents/0.9.0"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:managed-deepagents-0-9-0-released-on-pypi-a59d19"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/managed-deepagents-0-9-0-released-on-pypi-a59d19/","markdown":"https://newruntime.com/posts/managed-deepagents-0-9-0-released-on-pypi-a59d19.md","json":"https://newruntime.com/posts/managed-deepagents-0-9-0-released-on-pypi-a59d19.json"}
---

# managed-deepagents 0.9.0 released on PyPI with managed schedules and per-run agent factories

## Retrieval answer

LangChain has published managed-deepagents 0.9.0 on PyPI. The package provides the Python authoring interface and the mda CLI for compiling and deploying a code-first Deep Agent repository to a managed LangGraph runtime. The package documents define schedule a Python contract

LangChain has published managed-deepagents 0.9.0 on PyPI. The package provides the Python authoring interface and the `mda` CLI for compiling and deploying a code-first Deep Agent repository to a managed LangGraph runtime.

The package documents `define_schedule`, a Python contract for managed cron schedules. It requires Python 3.9 or later. Each platform wheel includes a prebuilt `mda` binary for its operating system and CPU architecture, exposed through the `mda` console script.

An agent can now be exported as a synchronous or asynchronous factory. The factory may select the model, tools, middleware, instructions, skills, MCP definitions, sandbox, and memory for an individual run from its runtime context. The documentation says factories should be repeatable and retain graph structure and schemas.

The PyPI page does not establish pricing, service availability, performance, or a release date. It also does not establish how scheduled agents behave in production beyond the documented authoring contract.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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