git:20260608.e4dc7c2 to git:20260710.2925510
15 added, 17 removed. Audit A to B.
---
- name: "Assemble production agent harnesses with DeepAgents"
- slug: "assemble-production-agent-harnesses-with-deepagents"
+ title: "Assemble production agent harnesses with DeepAgents"
description: "Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure."
- github_stars: 24135
verification: "security_reviewed"
source: "https://github.com/langchain-ai/deepagents"
author: "LangChain AI"
publisher_type: "open_source_project"
- category: "Templates & Workflows"
- framework: "Custom Agents"
+ category:
+ - "Templates & Workflows"
+ framework:
+ - "Custom Agents"
tool_ecosystem:
github_repo: "langchain-ai/deepagents"
github_stars: 24135
---
# Assemble production agent harnesses with DeepAgents
Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure.
## Prerequisites
DeepAgents, model provider credentials, workflow tools
## Installation
- Use the upstream install or setup path that matches your environment:
- - uv add deepagents
+ Choose whichever fits your setup:
- Requirements and caveats from upstream:
- - <a href="https://docs.langchain.com/oss/python/deepagents/overview#deep-agents-overview">
- - python
- - The agent can plan, read/write files, and manage its own context. Add your own tools, swap models, customize prompts, configure sub-agents, and more. See the [documentation](https://docs.langchain.com/oss/python/deepa...
+ 1. Copy this skill folder into your local skills directory.
+ 2. Clone the repo and symlink or copy the skill into your agent workspace.
+ 3. Add the repo as a git submodule if you manage shared skills centrally.
+ 4. Install it through your internal provisioning or packaging workflow.
+ 5. Download the folder directly from GitHub and place it in your skills collection.
- Basic usage or getting-started notes:
- - **Shell access** — run commands in your sandbox of choice
- - **Human-in-the-loop** — approve, edit, or reject tool calls before they run
- - from deepagents import create_deep_agent
+ Install command or upstream instructions:
- - Source: https://github.com/langchain-ai/deepagents
- - Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/deepagents/HEAD/README.md
+ ```
+ Follow the DeepAgents repository instructions, configure model access and tools, then implement and test the target long-running agent workflow.
+ ```
## Documentation
- https://github.com/langchain-ai/deepagents
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/assemble-production-agent-harnesses-with-deepagents/)