# n8n AI Agents

Designs n8n AI agent nodes with tools, memory, and structured output.

- Repository: https://github.com/czlonkowski/n8n-mcp (23187 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add czlonkowski/n8n-mcp --skill n8n-agents -g -a claude-code -y`
Codex: `npx skills add czlonkowski/n8n-mcp --skill n8n-agents -g -a codex -y`
Cursor: `npx skills add czlonkowski/n8n-mcp --skill n8n-agents -g -a cursor -y`
Gemini CLI: `npx skills add czlonkowski/n8n-mcp --skill n8n-agents -g -a gemini-cli -y`

## Description

Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node, an AI Agent, LLM chain, Text Classifier, or Information Extractor, and whenever the user mentions AI agents, LLM with tools, tool calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# n8n Agents

The n8n AI Agent node (`@n8n/n8n-nodes-langchain.agent`) is a multi-turn LLM driver with sub-nodes for the model, memory, tools, and an optional output parser. This skill is the **deep** guide to designing agents and the LangChain family around them. For the high-level "where an agent fits in a workflow" picture, see **n8n-workflow-patterns** `ai_agent_workflow.md`, this skill goes one level down into *how to build it well*.

For node-type formats: in workflow JSON the LangChain nodes use the long `@n8n/n8n-nodes-langchain.*` form (`.agent`, `.lmChatOpenAi`, `.memoryBufferWindow`, `.outputParserStructured`, `.toolWorkflow`, `.toolHttpRequest`, `.toolCode`). When you call `get_node` / `validate_node`, use the **short** form (`nodes-langchain.agent`). See **n8n-mcp-tools-expert** for the format rules.

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## Pick the right node first

Reaching for an Agent when the task is one-shot classification or extraction is the most common over-build. Decide before you wire anything:

The rest: https://github.com/czlonkowski/n8n-mcp/blob/HEAD/data/skills/n8n-agents/SKILL.md