AI Agent for n8n Creator Leaderboard & Workflow Analysis

Unlock In-depth n8n Community Insights with this AI Agent

This AI Agent connects to the n8n Community Leaderboard data (hosted on GitHub by teds-tech-talks) to fetch, process, and analyze statistics about n8n workflow creators and their contributions. It's designed for anyone looking to understand community trends, identify popular workflows, or get detailed reports on specific creators.

This AI Agent is built using n8n's Langchain capabilities. It features a main Langchain agent node ("n8n Creator Stats Agent") that utilizes an OpenAI model (gpt-4o-mini by default) and a specialized tool ("Workflow Tool" named n8n_creator_stats). This tool is essentially this workflow itself, which is triggered to gather and process n8n creator statistics based on a provided username. The agent then uses these statistics to fulfill the user's request by generating a comprehensive Markdown report. This report details the creator's workflows, their popularity metrics (unique weekly/monthly visitors and inserters), analyzes why their contributions are valuable, and provides additional community insights.

The agent's primary ability is n8n community analytics and reporting.

Key Features & Benefits

• Automated Data Retrieval: Fetches current creator and workflow statistics directly from the public n8n Community Leaderboard GitHub repository.
• AI-Powered Reporting: Leverages OpenAI's gpt-4o-mini (or a configurable local Ollama model) to generate insightful, well-structured Markdown reports on n8n creators and their work.
• Detailed Creator Analysis: Provides a summary of a contributor's workflows, highlighting unique features, use cases, and key metrics like unique weekly/monthly visitors and inserters.
• Community Trend Identification: Helps you understand which workflows are popular and why, offering valuable insights for both creators and users looking for proven automation solutions.
• Flexible Triggering: Can be initiated via a chat interface (e.g., "show me stats for username n8n-ninja") or called as a sub-workflow, integrating seamlessly into your n8n environment.
• Data Processing & Filtering: Includes logic to parse, sort, limit, and merge data, focusing on top creators and workflows to deliver relevant insights.
• Local Report Saving: Optionally saves the generated Markdown report to your local file system for easy access and record-keeping.

• An n8n instance (Cloud or self-hosted).
• OpenAI API Key with access to a model like gpt-4o-mini (or a configured Ollama instance if you prefer a local LLM).
• (Optional) File system write access for the n8n instance if you want to save reports locally.

1. Download the n8n workflow JSON file.
2. Import the workflow into your n8n instance.
3. Configure the "gpt-4o-mini" node (labeled gpt-4o-mini, type: @n8n/n8n-nodes-langchain.lmChatOpenAi) with your OpenAI API Key and select your desired model.
4. (Optional) If you want to use a local LLM: enable the "Ollama Chat Model" node, configure its credentials and model, then update the "n8n Creator Stats Agent" node to use the Ollama Chat Model connection instead of OpenAI.
5. The "Global Variables" node is pre-configured to fetch data from the teds-tech-talks/n8n-community-leaderboard GitHub repository. These URLs should work out-of-the-box.
6. (Optional) If you wish to save reports locally, configure the "Save creator-summary.md" node (type: n8n-nodes-base.readWriteFile) with your desired file path. Ensure your n8n instance has write permissions to that location.
7. To trigger the workflow, you have two main options:
   • Via Chat: Activate the "When chat message received" trigger. You can then send a message to the chat interface (e.g., in n8n's chat UI if configured, or wherever this trigger is exposed) like: show me stats for username YOUR_TARGET_USERNAME (replace YOUR_TARGET_USERNAME with the actual GitHub username of the n8n creator).
   • Via Workflow Call: Activate the "When Executed by Another Workflow" trigger. Another n8n workflow can then call this one, passing a JSON input in the format: {"query": {"username": "YOUR_TARGET_USERNAME"}}.
8. Activate the workflow.