langchain-plugin
v1.5.9LangChain JS/TS development - agents, chains, LangGraph workflows, and Deep Agents patterns
By Lauri GatesLicense: MIT58 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 4 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install langchain-plugin for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install langchain-plugin@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/laurigates/claude-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is langchain-plugin/.
Plugin files
├── .claude-plugin/plugin.json├── skills/deep-agents/SKILL.md├── skills/langchain-development/SKILL.md├── skills/langchain-init/SKILL.md└── skills/langgraph-agents/SKILL.md
Included Skills4
Build hierarchical AI agents with the deepagents npm package. Use when creating orchestrators that plan multi-step tasks, delegate to child agents, or maintain persistent memory.
LangChain JS/TS framework for building LLM-powered apps. Use when working with chat models, prompt templates, LCEL chains, tool binding, or RAG pipelines.
Initialize a new LangChain TypeScript project. Use when starting an LLM-powered app, scaffolding an AI agent project, or setting up LangChain from scratch.
LangGraph stateful AI agents with graph-based workflows. Use when creating state-machine agents with checkpoints, human-in-the-loop, streaming execution, or subgraph composition.
Plugin manifests1
{
"$schema": "https://json.schemastore.org/claude-code-plugin-manifest.json",
"name": "langchain-plugin",
"version": "1.5.9",
"description": "LangChain JS/TS development - agents, chains, LangGraph workflows, and Deep Agents patterns",
"author": {
"name": "Lauri Gates"
},
"repository": "https://github.com/laurigates/claude-plugins",
"license": "MIT",
"keywords": [
"langchain",
"langgraph",
"deep-agents",
"ai-agents",
"llm",
"typescript",
"javascript",
"rag",
"chains"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[langchain-plugin on Agent Plugins Marketplace](https://pluginsmp.com/plugins/langchain-plugin)