n8n-agents
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.
Pinned to revision 02965226846a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/n8n-agents/SKILL.md
- skills/n8n-agents/CHAT_AGENT_PATTERNS.md
- skills/n8n-agents/EXAMPLES.md
- skills/n8n-agents/HUMAN_REVIEW.md
- skills/n8n-agents/MEMORY.md
- skills/n8n-agents/RAG.md
- skills/n8n-agents/README.md
- skills/n8n-agents/STRUCTURED_OUTPUT.md
- skills/n8n-agents/SUBWORKFLOW_AS_TOOL.md
- skills/n8n-agents/SYSTEM_PROMPT.md
- skills/n8n-agents/TOOLS.md
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