This article provides a complete, practical walkthrough of the Code Github Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Workflow Backups to GitHub with n8n: A Complete Guide
   
   Meta Description:
   Learn how to automate your n8n workflow backups to GitHub using a powerful and efficient workflow automation strategy. Reduce redundancy, prevent data loss, and maintain version control effortlessly.
   
   Keywords:
   n8n, GitHub, workflow automation, n8n backup, GitHub API, n8n GitHub integration, JSON workflow versioning, automation tools, no-code backup, version control
   
   Third-Party APIs Used:
   
   - GitHub API: Used for retrieving, creating, and editing JSON files (representing workflows) in a GitHub repository.
   - n8n API: Used to retrieve the list of workflows in the current n8n instance.
   
   Article:
   
   Automating Workflow Backups to GitHub with n8n: A Complete Guide
   
   Creating and maintaining automations in n8n is a powerful way to streamline business processes. But as your number of workflows grows, so does the need for reliable backup and version control. What if you could automatically back up every n8n workflow to GitHub—detecting changes only when necessary and minimizing redundant operations?
   
   That’s exactly what this clever n8n workflow accomplishes.
   
   Let’s dive into how it works and how you can use it to simplify your workflow management.
   
   What This Workflow Does
   
   This n8n workflow is designed to:
   
   - Retrieve all workflows from your n8n instance.
   - Compare each workflow with an existing version in a GitHub repository.
   - Only create or update the backup file if the workflow is new or has changed.
   - Organize backup files neatly using workflow tags as folders.
   - Run on a schedule or be executed manually.
   
   It's an elegant solution for developers, automation enthusiasts, and teams using n8n at scale.
   
   How It Works: A Breakdown
   
   1. Triggering the Workflow
   
   The process begins with either a Manual Trigger or a Scheduled Trigger (set to run daily at 7 AM). This gives you the flexibility to back up on command or automate the process entirely.
   
   2. Fetching Workflows from n8n
   
   The “n8n” node connects to the internal n8n API and retrieves all current workflows. These are looped through one by one using the “Loop Over Items” and “Execute Workflow” nodes, which help reduce memory usage during processing.
   
   3. Executing the Sub-Workflow
   
   Each workflow is processed individually in a sub-workflow. This includes key operations such as assigning GitHub repository details, checking for tags to organize folders, and preparing file path variables.
   
   4. Fetching Existing Files from GitHub
   
   The workflow attempts to fetch an existing workflow backup from the defined GitHub repo via the GitHub API. If a file is too large or does not exist, it is treated accordingly.
   
   5. Intelligent Comparison Logic with JavaScript
   
   A custom code node called “isDiffOrNew” plays a pivotal role. It:
   
   - Orders JSON keys to ensure consistent structure comparisons.
   - Decodes Base64 or data strings depending on GitHub’s response.
   - Compares the existing file with the current n8n version.
   - Sets the file status as either “same,” “different,” or “new.”
   
   6. Conditional Actions Based on Status
   
   The “Check Status” node handles logic branching:
   
   - If the file is unchanged: Do nothing.
   - If the file has changed: Edit the existing GitHub file with the new version.
   - If the file is new: Create a new file in the appropriate GitHub folder.
   
   7. Committing to GitHub
   
   For new or edited workflows, the GitHub nodes perform file commits using appropriate commit messages (e.g., “WorkflowName (different)” or “WorkflowName (new)”).
   
   8. Organized by Tags
   
   If a workflow has tags, these are used to create folder paths inside the GitHub repository, ensuring an organized backup structure.
   
   Why This Workflow Matters
   
   Version Control Made Easy
   
   Too often, automation scripts and workflows are created once and forgotten—until something breaks. This workflow brings peace of mind by placing your n8n workflows into version control using GitHub.
   
   Efficiency Built-in
   
   Thanks to the intelligent diff logic, unnecessary commits are avoided. Only workflows that are new or changed are committed. This saves API calls, prevents clutter in your Git history, and ensures accurate tracking.
   
   Memory Optimization
   
   By using sub-workflows and batching, the n8n workflow keeps memory usage minimal—great for large n8n instances where hundreds of workflows might exist.
   
   Simple Setup
   
   With just a small configuration (defining your GitHub repo owner, name, and folder path in the “Globals” node), this solution is practically plug-and-play.
   
   Use Cases
   
   - Daily workflow snapshotting for regulated industries (e.g., healthcare, finance).
   - Collaborative automation environments where multiple users update workflows.
   - Recovering lost or accidentally deleted workflows.
   - Auditing and change tracking in enterprise settings.
   
   Final Thoughts
   
   This n8n workflow is a masterclass in automation engineering—balancing performance, reliability, and usability. Whether you’re running a single n8n instance or managing automation at a team level, this GitHub backup solution ensures you're always protected against data loss while maintaining clean and traceable versions of all your workflows.
   
   Set it once, and let automation do the rest.
   
   Ready to use it? Just update the Globals node with your GitHub details, schedule it, and rest easy knowing your workflows are safely versioned in GitHub.
   
   Happy automating!
   
   —

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.