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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.

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Part of agentskillexchange/skills — 249 skills

Install

skills CLI

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/assemble-production-agent-harnesses-with-deepagents

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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

Requirements and caveats from upstream:

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...

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
Source: https://github.com/langchain-ai/deepagents
Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/deepagents/HEAD/README.md

Documentation

https://github.com/langchain-ai/deepagents

Source

Agent Skill Exchange

Files (skills)

SKILL.md 1.8 KB

---
name: "Assemble production agent harnesses with DeepAgents"
slug: "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"
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

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...

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

- Source: https://github.com/langchain-ai/deepagents
- Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/deepagents/HEAD/README.md

## Documentation

- https://github.com/langchain-ai/deepagents

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/assemble-production-agent-harnesses-with-deepagents/)