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Sameeh07
Sameeh07COMMUNITY
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deep-agents-core

Create AI agents with Deep Agents, LangChain, and LangGraph.

3|Updated Jan 20, 2026
Search Tags:#middleware#langchain#ai agents#agent framework#langgraph#deep agents
One-click install
npx skills add https://github.com/Sameeh07/AGENT-SKILLS --skill deep-agents-core-sameeh07
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-agents-core
Source: https://github.com/Sameeh07/AGENT-SKILLS/tree/main/skills/deep-agents-core
Command: npx skills add https://github.com/Sameeh07/AGENT-SKILLS --skill deep-agents-core-sameeh07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for building sophisticated AI agents, simplifying complex task management, context handling, and delegation.

Core Features & Use Cases

  • Agent Creation: Easily create agents using create_deep_agent().
  • Middleware Integration: Leverage built-in middleware for planning, context management, and delegation.
  • Configuration: Customize agents with tools, subagents, and memory.
  • Use Case: Develop an agent that can research a topic, write a report, and then summarize it, all while managing file context and potentially delegating sub-tasks.

Quick Start

Create a basic deep agent with a custom tool and invoke it with a user message.

Frequently Asked Questions about deep-agents-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents with multi-step task planning and sub-agent delegation?▼

You can build advanced AI agents with multi-step task planning and sub-agent delegation using the Deep Agents framework. It provides configurable middleware to handle complex agentic workflows and robust task delegation.

Does LangGraph work with Deep Agents for managing long-term memory?▼

Yes, LangGraph integrates with Deep Agents to manage long-term memory and filesystem context. This combination supports complex agentic workflows requiring persistent state tracking across multiple steps.

Can I use LangChain middleware to manage filesystem context in agentic workflows?▼

Yes, LangChain middleware integrates directly into Deep Agents to handle filesystem context management. This allows your AI agents to read, write, and maintain file context during complex task execution.

What is the best way to configure on-demand skill loading for LangChain agents?▼

The best way to configure on-demand skill loading is using the Deep Agents framework. It integrates LangChain capabilities to dynamically load skills and tools during complex agentic workflows.

Do I need additional dependencies to use Deep Agents with LangChain?▼

No additional dependencies are required to start using Deep Agents. The framework integrates LangChain and LangGraph capabilities directly to facilitate development of sophisticated AI agents.

Why use configurable middleware when building complex AI agent architectures?▼

Configurable middleware is essential for complex AI agent architectures because it enables multi-step task planning, sub-agent delegation, and long-term memory management without hardcoding workflow logic.

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