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:  
   Automated Workflow Backups in n8n: A GitHub-Powered Solution for Scheduled Workflow Archiving
   
   Meta Description:  
   Discover how to automate and version-control your n8n workflows using this robust workflow that backs up your instance to GitHub daily, with Slack notifications, smart diffing, and historical file organization.
   
   Keywords:  
   n8n automation, workflow backup, GitHub integration, n8n GitHub, automated version control, workflow archiving, DevOps, workflow differencing, n8n to GitHub backup, Slack notifications, CI/CD, JSON comparison, scheduled workflow
   
   Third-party APIs Used:
   
   - GitHub API (via n8n GitHub Node)
   - Slack API (via n8n Slack Node)
   
   Article:
   
   Automated GitHub Backups for n8n Workflows: Why Every Instance Should Have This
   
   In an ever-evolving automation environment like n8n, losing a critical workflow can disrupt operations and delay innovation. That’s why routine backups—ideally version-controlled and easily accessible—are essential. Fortunately, with the modular, visual capabilities of n8n, we can design an elegant and automated solution to back up every workflow on your instance, push them to GitHub, and even notify your team upon completion or failure. This article walks you through such a solution using a custom n8n workflow that leverages GitHub and Slack integrations to create a robust workflow backup strategy.
   
   🛠️ The Problem: Ephemeral Workflow Data  
   By default, workflows in n8n live within its internal database. If n8n is migrated, updated incorrectly, or if a crash occurs, precious workflow logic could be lost without reliable backups. Manual exports are tedious and unsustainable, especially in team environments or CI/CD pipelines.
   
   The solution? A scheduled n8n automation that runs daily to extract, compare, and push your workflows to a structured GitHub repository with file-diffing logic and notification capability.
   
   ⚙️ The Solution: How It Works  
   This workflow performs the following primary functions:
   
   1. Triggers a run every 24 hours (via the Schedule Trigger node) or manually through the Manual Trigger.
   2. Notifies a Slack channel that the backup process has started.
   3. Fetches all workflows from the instance using the n8n node.
   4. Iterates over each workflow and:
      - Checks if a backup file for that workflow already exists in the GitHub repo.
      - Compares the current and stored versions to determine if the file is new, unchanged, or modified.
      - Updates or creates the file in GitHub accordingly, placing it in a structured YYYY/MM/ directory.
   5. Sends a summary notification to Slack once complete or alerts if specific workflows failed to back up.
   
   Let’s explore each piece.
   
   📅 Triggers and Initialization  
   The process is kicked off either on a scheduled interval (1:33 AM daily using the Schedule Trigger node) or manually via an “On Click Execute” trigger—providing flexibility during testing or debugging. Immediately, it posts a starting message to a designated Slack channel using the Slack Node.
   
   🔍 Workflow Retrieval and Processing  
   The n8n node pulls all workflows available on the instance. To avoid memory overload, the list is split into smaller batches using the Split In Batches node, enabling the main logic to iterate efficiently.
   
   🔄 Sub-Workflow Invocation  
   For each workflow, the "Execute Workflow Trigger" node initiates a sub-workflow that handles the comparison and GitHub interaction in isolation. This modularity improves manageability and minimizes memory consumption during large-scale processing.
   
   📁 File Retrieval and Comparison  
   Inside the sub-workflow, the process fetches the existing file from GitHub via the GitHub "get" operation. If the file is missing or too large, it logs appropriate handling.
   
   A custom code node named isDiffOrNew performs the real magic here:
   - Decodes the current GitHub version (if any).
   - Orders both versions by keys to normalize structure.
   - Compares them for equality.
   - Sets a github_status flag to 'same', 'different', or 'new'.
   
   📦 GitHub Storage with Versioning  
   Based on the comparison outcome:
   - If the file is new, it’s added using the GitHub "create" operation.
   - If different, it's updated with the new content via GitHub "edit".
   - If identical, no file action is taken, ensuring efficiency.
   
   Files are stored using a timestamped directory structure:  
   repo_path/YYYY/MM/ID.json. For example: n8n-backup/2024/06/12345.json
   
   ✉️ Slack Notifications: Status at a Glance  
   To make the backup process observable and DevOps-friendly, Slack messages are sent at:
   - Start of the process
   - Upon successful completion (indicating how many workflows were processed)
   - For individual failures, with visual 🚫 indicators
   
   These alerts ensure the relevant stakeholders are informed without manually inspecting the system.
   
   🧠 Advanced Features  
   - Includes dynamic path construction to organize files by creation date.
   - Diff logic is JSON key-ordered to avoid false positives due to key shuffling.
   - Designed to “call itself” with batch limits—this recursive pattern helps handle upward of 1,400+ workflows without memory fragmentation.
   
   🧪 Performance  
   Tested on n8n v1.44.1 with 1,423 workflows, the first execution took less than 30 minutes, and subsequent runs (with fewer changes) completed in under 12 minutes. This demonstrates its scalability and routine-efficacy.
   
   🧩 Customization  
   All GitHub parameters—repository owner, name, and path—are managed via environment-defined variables or a configurable sub-node, ensuring portability across instances and environments.
   
   🎯 Why You Should Implement This  
   - Ensures daily version-controlled backups of your critical n8n logic.
   - Enables workflow history and easy rollback using Git versioning.
   - Adds resiliency and transparency with Slack-based observability.
   - Quick to implement and highly customizable per team or instance needs.
   
   📌 Conclusion  
   Workflow logic is the intellectual property of modern automation platforms. Losing it can deal a critical blow. This n8n workflow ensures you not only protect it but also do so systematically, intelligently, and without manual effort. Whether you're a small team or supporting enterprise-scale automation, this setup is an invaluable addition to your ops stack.
   
   Start automating your backups today and trust GitHub to safeguard your automation efforts.
   
   — Written by your AI Assistant ⚡️

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.