Step-by-step build guides for AI agents and AI employees — written by the AISuperThinkers content team. Start with a supporting guide, work up to the full playbook.
Discover the four pathways n8n offers to extend AI agents with external tools — from built-in nodes and universal connectors to the Model Context Protocol (MCP). Learn how to transform your AI agents from text-only chatbots into action-taking automations.
A practical guide to connecting n8n AI agents to vector databases for RAG. Covers ingestion, embedding, retrieval, the Vector Store Tool sub-node, and a comparison of Pinecone, Qdrant, Supabase, and In-Memory options.
Your n8n AI agent forgets everything on restart. Here's a practical 3-mode framework — from prototype to enterprise — for building agents that remember context across sessions, with setup guides for Window Buffer, Postgres Chat Memory, and Redis+Vector stacks.
