Zie619 / n8n-workflows
all of the workflows of n8n i could find (also from the site itself)
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing Zie619/n8n-workflows in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Summary (README)
Previewn8n Workflow Collection
The Ultimate Collection of n8n Automation Workflows
Your workflows contain AI — do you know what's hiding in them?We built AI-BOM because we scanned our own 4,343 workflows and found hardcoded API keys, unauthenticated AI agents, and MCP clients connecting to unknown servers — all invisible to existing security tools. AI-BOM is the first and only tool that scans n8n workflows for AI security risks.
One command finds every AI Agent node, LLM integration, MCP client, hardcoded credential, and dangerous tool combination — then gives you a risk score and a compliance-ready report. EU AI Act deadline: August 2025. You need an AI inventory. |
AI-BOM by Trusera
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What does AI-BOM detect in n8n workflows? (click to expand)
| Risk | Severity | What it finds |
|---|---|---|
| AI Agent nodes | CRITICAL | Agents connected to LLMs with tool access — can execute code |
| Hardcoded credentials | CRITICAL | API keys in workflow JSON instead of credential store |
| Dangerous tool combos | CRITICAL | Agents with Code Execution + HTTP Request = RCE risk |
| MCP clients | HIGH | Model Context Protocol connections to external servers |
| Unauthenticated webhooks | HIGH | Webhook triggers exposed to the internet without auth |
| Agent chains | HIGH | Execute Workflow linking agents without input validation |
Beyond n8n, AI-BOM also scans source code (Python, JS, TS, Java, Go, Rust, Ruby), Docker configs, cloud infrastructure (Terraform, CloudFormation), and network endpoints — 21+ AI SDKs detected across 7 languages.
Output formats: CycloneDX SBOM | SARIF (GitHub Code Scanning) | HTML Dashboard | Markdown | JSON
What's New
Latest Updates (November 2025)
- Enhanced Security: Full security audit completed, all CVEs resolved
- Docker Support: Multi-platform builds for linux/amd64 and linux/arm64
- GitHub Pages: Live searchable interface at zie619.github.io/n8n-workflows
- Performance: 100x faster search with SQLite FTS5 integration
- Modern UI: Completely redesigned interface with dark/light mode
Quick Access
Use Online (No Installation)
Visit zie619.github.io/n8n-workflows for instant access to:
- Smart Search — Find workflows instantly
- 15+ Categories — Browse by use case
- Mobile Ready — Works on any device
- Direct Downloads — Get workflow JSONs instantly
Features
By The Numbers
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Performance
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Local Installation
Prerequisites
- Python 3.9+
- pip (Python package manager)
- 100MB free disk space
Quick Start
# Clone the repository
git clone https://github.com/Zie619/n8n-workflows.git
cd n8n-workflows
# Install dependencies
pip install -r requirements.txt
# Start the server
python run.py
# Open in browser
# http://localhost:8000
Docker Installation
# Using Docker Hub
docker run -p 8000:8000 zie619/n8n-workflows:latest
# Or build locally
docker build -t n8n-workflows .
docker run -p 8000:8000 n8n-workflows
Documentation
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/ | GET | Web interface |
/api/search | GET | Search workflows |
/api/stats | GET | Repository statistics |
/api/workflow/{id} | GET | Get workflow JSON |
/api/categories | GET | List all categories |
/api/export | GET | Export workflows |
Search Features
- Full-text search across names, descriptions, and nodes
- Category filtering (Marketing, Sales, DevOps, etc.)
- Complexity filtering (Low, Medium, High)
- Trigger type filtering (Webhook, Schedule, Manual, etc.)
- Service filtering (365+ integrations)
Architecture
graph LR
A[User] --> B[Web Interface]
B --> C[FastAPI Server]
C --> D[SQLite FTS5]
D --> E[Workflow Database]
C --> F[Static Files]
F --> G[Workflow JSONs]
Tech Stack
- Backend: Python, FastAPI, SQLite with FTS5
- Frontend: Vanilla JS, Tailwind CSS
- Database: SQLite with Full-Text Search
- Deployment: Docker, GitHub Actions, GitHub Pages
- Security: Trivy scanning, CORS protection, Input validation
Repository Structure
n8n-workflows/
├── workflows/ # 4,343 workflow JSON files
│ └── [category]/ # Organized by integration
├── docs/ # GitHub Pages site
├── src/ # Python source code
├── scripts/ # Utility scripts
├── api_server.py # FastAPI application
├── run.py # Server launcher
├── workflow_db.py # Database manager
└── requirements.txt # Python dependencies
Contributing
We love contributions! Here's how you can help:
Ways to Contribute
- Report bugs via Issues
- Suggest features in Discussions
- Improve documentation
- Submit workflow fixes
- Star the repository
Development Setup
# Fork and clone
git clone https://github.com/YOUR_USERNAME/n8n-workflows.git
# Create branch
git checkout -b feature/amazing-feature
# Make changes and test
python run.py --debug
# Commit and push
git add .
git commit -m "feat: add amazing feature"
git push origin feature/amazing-feature
# Open PR
Security
Security Features
- Path traversal protection
- Input validation & sanitization
- CORS protection
- Rate limiting
- Docker security hardening
- Non-root container user
- Regular security scanning
Reporting Security Issues
Please report security vulnerabilities to the maintainers via Security Advisory.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
If you find this project helpful, please consider:
Star us on GitHub — it motivates us a lot!
Made with care by Zie619 and contributors
AI-BOM — Discover every AI agent, model, and API hiding in your infrastructure.
Open source by Trusera — Securing the Agentic Service Mesh.