n8n_agent
An LLM-based AI agent that generates n8n automation workflows from a single text prompt using vector search and knowledge graphs.
What is n8n_agent?
n8n_agent is an LLM-based AI agent designed to generate n8n agentic automation workflows from a single text prompt. It analyzes, categorizes, and stores n8n workflows using vector databases, graph databases, and relational databases to enable semantic search and intelligent workflow management. The project solves the problem of manually creating and managing complex automation workflows by providing tools for automated generation, validation, and storage.
Developers and automation engineers who use n8n for workflow automation and want to leverage AI to generate, search, and validate workflows more efficiently. It is also suitable for teams managing large libraries of n8n workflows who need advanced categorization and retrieval capabilities.
Developers choose n8n_agent because it combines LLM-powered analysis with multiple database systems (vector, graph, relational) to provide intelligent workflow search, validation, and generation. Its unique selling point is the integration of Model Context Protocol (MCP) servers for seamless interaction with n8n, QDRANT, and Supabase, making workflow management more automated and scalable.
Overview
LLM based AI Agent for generating n8n agentic automation workflows from a one-shot text prompt
Use Cases
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