This article provides a complete, practical walkthrough of the Github Manual 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 Backup to GitHub with n8n: A Complete Guide
   
   Meta Description:
   Learn how to automatically back up your n8n workflows to GitHub using a powerful and fully automated n8n workflow. Ensure your automation workflows are safely version-controlled with nightly sync and change detection.
   
   Keywords:
   n8n workflow backup, GitHub integration, workflow version control, n8n automation, backup automation, n8n GitHub sync, n8n tutorial, automated workflow management
   
   Third-Party APIs Used:
   - GitHub API
   - n8n REST API (internal, simulated via HTTP request)
   
   Article:
   
   In the world of no-code and low-code automation, n8n has become a standout tool for building powerful automated workflows across systems. As automation becomes central to business operations, ensuring the integrity, backup, and version control of workflows becomes equally important. This tutorial explores an n8n-based automated solution that backs up your n8n workflows to a GitHub repository daily—complete with change detection and version management.
   
   Let’s break down how this system works.
   
   Why Backing Up n8n Workflows Matters
   
   n8n workflows often evolve rapidly. Whether it's an API automation, data pipeline, or Slack bot, changes made can have far-reaching implications. Without a backup strategy, a faulty update can result in loss of vital configurations or functionality. Backing up to GitHub addresses this by:
   
   - Enabling version history
   - Providing change transparency through commits
   - Supporting easy rollback to previous versions
   - Enhancing collaboration for teams via pull requests and code reviews
   
   Overview of the Workflow
   
   This n8n automation does the following:
   
   - Retrieves a list of all workflows via REST API
   - Iterates through them one by one
   - Fetches additional metadata for each workflow
   - Compares current workflows against backups stored on GitHub
   - Adds, updates, or ignores based on whether changes are detected
   - Commits changes with meaningful commit messages
   - Runs this process daily at a specified time
   
   Trigger & Setup
   
   The workflow uses two triggers:
   
   1. Manual Trigger ("On clicking 'execute'"): Allows users to back up on-demand.
   2. Scheduled Trigger ("Daily @ 20:00"): Automates the process daily at 8:11 PM.
   
   Initial Setup: Globals Node
   
   This node sets repository-related parameters for the entire workflow with values such as:
   - Owner (e.g., "octocat")
   - Repository name (e.g., "Hello-World")
   - Path inside the repo (e.g., “my-team/n8n/workflows/”)
   
   Fetching Workflows
   
   An HTTP Request node retrieves the list of workflows via the local n8n REST API endpoint at http://localhost:8443/rest/workflows. This response is parsed and split into individual items using the Function and Split In Batches nodes ("dataArray" and "OneAtATime") for sequential processing.
   
   Data Gathering & Comparison
   
   Each workflow ID is passed to a second endpoint http://localhost:8443/rest/workflows/{{id}} to get full details of the workflow.
   
   Parallel to that, the workflow attempts to fetch the corresponding backup file from GitHub using the GitHub node (“GitHub”, set to the “get” operation). If such a file exists, its content is base64-decoded and parsed.
   
   Comparison Logic
   
   The script step ("isDiffOrNew") acts as the brains for logic-based decision making. It:
   
   - Decodes the GitHub file (if found)
   - Orders keys consistently to avoid formatting-based diffs
   - Compares the current n8n workflow JSON with the stored one
   - Assigns a status flag: "same", "different", or "new"
   - If different or new, prepares a stringified JSON version for upload
   
   Branching with Switch
   
   A Switch node called "github_status" smartly routes based on the result:
   
   - "same": Workflow is unchanged—no action taken
   - "different": Commit updates via GitHub Edit node
   - "new": Create a new file via the GitHub Create node
   
   Commit Changes to GitHub
   
   When changes are detected, updated workflows are committed to GitHub with messages like:
   
   [N8N Backup] myWorkflow.json (different/new)
   
   This aids in traceability and allows audit trails through GitHub’s built-in features.
   
   Ensuring Loop Continuity
   
   After each upload or comparison, the flow is recursively looped back to pick up and process the next workflow in the list, thanks to connections funneling back into the “OneAtATime” node.
   
   Benefits of this Solution
   
   ✅ Zero manual effort after set up—entirely hands-off  
   ✅ Ensures daily backups at a fixed time  
   ✅ Tracks every change across workflows  
   ✅ Easily integrable with CI/CD pipelines or team code reviews  
   ✅ Zero data loss risk due to proactive version control  
   
   Final Thoughts
   
   Combining the power of n8n and the robustness of GitHub results in a resilient backup system that seamlessly integrates into a modern DevOps/data-driven workflow. For teams or individuals managing multiple automations, this setup is not just a convenience—it’s a necessity. With a few adjustments (such as changing GitHub repo settings or backup timing), it can be adapted to other environments or extended with Slack notifications, PR automation, or issue tracking.
   
   Ready to level up your workflow management? Try implementing this in your n8n instance today and enjoy the peace of mind that comes with automated backups and version control.
   
   — End of Article —

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.