langchain-architecture SKILL.md skillA

langchain-architecture from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add wshobson/agents/langchain-architecture@git:20260707.511f834

Pins git:20260707.511f834 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
wshobson/agents
Path
plugins/llm-application-dev/skills/langchain-architecture/SKILL.md
Versions recorded
5
Latest version
git:20260707.511f834, committed Jul 7, 2026
First version recorded
Jan 19, 2026
Size
8,022 bytes
Repository stars
42,320
License
MIT

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LangChain & LangGraph Architecture

Master modern LangChain 1.x and LangGraph for building sophisticated LLM applications with agents, state management, memory, and tool integration.

## When to Use This Skill

- Building autonomous AI agents with tool access
- Implementing complex multi-step LLM workflows
- Managing conversation memory and state
- Integrating LLMs with external data sources and APIs
- Creating modular, reusable LLM application components
- Implementing document processing pipelines
- Building production-grade LLM applications

## Package Structure (LangChain 1.x)

```
langchain (1.2.x)         # High-level orchestration
langchain-core (1.2.x)    # Core abstractions (messages, prompts, tools)
langchain-community       # Third-party integrations
langgraph                 # Agent orchestration and state management
langchain-openai          # OpenAI integrations
langchain-anthropic       # Anthropic/Claude integrations
langchain-voyageai        # Voyage AI embeddings
langchain-pinecone        # Pinecone vector store
```

## Core Concepts

### 1. LangGraph Agents

LangGraph is the standard for building agents in 2026. It provides:

**Key Features:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wshobson/agents/langchain-architecture@sha256:0c8dcec1d171a004

The line at the top of this page pins the label git:20260707.511f834, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_weok75amp63vn33k.svg)](https://markdownregistry.com/a/art_weok75amp63vn33k)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jan 19, 2026 and Jul 7, 2026, about one every 42 days.

versioncommittedcommitsizeaudit
git:20260707.511f834 latest2026-07-07 511f834 8,022 BA view · diff
git:20260522.be57c0b2026-05-22 be57c0b 8,041 BA view · diff
git:20260307.47a5dbc2026-03-07 47a5dbc 18,913 BA view · diff
git:20260219.08655712026-02-19 0865571 20,307 BA view · diff
git:20260119.56848872026-01-19 5684887 20,307 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8022 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_weok75amp63vn33k
GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/langchain-architecture
GET https://markdownregistry.com/api/v1/blob/0c8dcec1d171a00467eda176a0716866c5bf6c9e86fd0830a74dcabd626bc06a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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