N8N-AI-Agent
Health Warn
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 5 GitHub stars
Code Pass
- Code scan — Scanned 2 files during light audit, no dangerous patterns found
Permissions Pass
- Permissions — No dangerous permissions requested
This tool provides a structured backup repository of modular, versioned AI agent workflows built for the n8n automation platform. It is designed to help users experiment with, automate, and scale AI-driven processes.
Security Assessment
The automated code scan reviewed two files and found no dangerous patterns. There is no evidence of hardcoded secrets, requests for dangerous system permissions, or direct shell command execution. However, because n8n workflows inherently involve automation, they may make external network requests or access sensitive data depending on how you configure them within your own n8n environment. Overall risk is rated as Low.
Quality Assessment
The project is highly active, with its most recent code push occurring just today. It is properly licensed under the permissive and standard MIT license. On the downside, the repository currently lacks a README file, which means there are no official instructions or documentation to help new users get started. Furthermore, community trust and visibility are currently very low, as indicated by having only 5 GitHub stars.
Verdict
Safe to use, though you should be prepared for a lack of documentation and ensure your imported workflows are configured securely.
A structured backup repository of multiple AI agents built with n8n. This project contains modular, versioned workflow exports designed for automation, experimentation, and scalable AI-driven process orchestration.
🤖 N8N AI Agents Hub
The Modular Ecosystem for Intelligent Automation
Welcome to the N8N AI Agents project. This is a modular, enterprise-grade automated agent ecosystem built on n8n. Our architecture provides a scalable framework for deploying specialized AI agents that handle complex workflows, SEO content generation, lead intelligence, and multi-channel distribution.
🛰 Ecosystem Architecture
Our "Agentic Mesh" allows specialized agents to operate independently while sharing a unified orchestration layer.
graph TD
Trigger([Central Request]) --> Orchestrator["n8n Orchestration Layer"]
subgraph "Specialized Agents"
Orchestrator --> LG["Lead Scraper Specialist"]
Orchestrator --> CC["AI Content Architect"]
end
subgraph "Output Channels"
LG --> Sheets["Google Sheets DB"]
CC --> WP["WordPress Drafts"]
CC --> LI["LinkedIn Posts"]
CC --> GDrive["Google Drive Assets"]
end
LG -- "Deduplication" --> Sheets
CC -- "Logic Loop" --> CC
🤖 Available Agents
| Agent Name | Documentation | Core Function | Status |
|---|---|---|---|
| Lead Scraper Specialist | Read More | Google Maps scraping with smart deduplication. | ✅ Production |
| AI Content Architect | Read More | SEO content writer with image generation. | ✅ Production |
🚀 Key Framework Features
- Modular "Plug-and-Play" Architecture: Add or update specialized agents without disrupting the core system.
- Intelligent State Management: Agents use persistent memory to ensure context-aware, non-repetitive actions.
- Deep Integration Mesh: Natively connects AI reasoning with WordPress, LinkedIn, Google Cloud, and major CRMs.
- Standardized Documentation: Every agent follows a strict documentation protocol including architectural diagrams and setup guides.
🔧 Getting Started
1. Prerequisites
- n8n Instance: We recommend a Docker-based setup for production reliability.
- Google AI Studio Key: Required for Gemini 2.0 reasoning.
- API Access: As required by specific agents (LinkedIn Developers, WordPress App Passwords).
2. General Setup
- Clone the Hub:
git clone https://github.com/beydah/N8N-AI-Agent.git - Environment Variables: Configure your
.envfile based on our security best practices. - Agent Import: Choose an agent from the registry above, navigate to its directory, and import the
.jsonworkflow into your n8n instance.
🤝 Community & Standards
- Contributing: Want to build a new agent? Review our CONTRIBUTING.md for architectural standards.
- Security: Security is baked into our design. Read SECURITY.md for hardening tips.
- Wiki: For advanced enterprise deployment guides, visit our Project Wiki.
Developed with ❤️ by Beydah Saglam
Transforming business logic into autonomous AI operations.
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