Automatically back up, sync, and clean up n8n work definitions in GitHub.
This AI agent automatically exports all n8n work definitions and stores them in a GitHub repository, ensuring parity between the source and the backup. It updates existing files when changes are detected, creates new files for new definitions, and deletes files for removed definitions to keep the repository in sync. It provides an auditable, disaster-ready backup suitable for migration and recovery.
A concise view of concrete actions the AI agent performs.
Export all AI agent definitions via the n8n API.
Check for existing files in GitHub by credential ID and mapping.
Update a GitHub file when the definition has changed.
Create a new GitHub file for newly discovered definitions.
Delete the corresponding GitHub file when a definition is removed from n8n.
Log actions and results to provide an auditable history.
Before → backups are inconsistent across servers; manual export overhead; no automatic deletion tracking; slow recovery or migration; drift between n8n and GitHub. After → automated, versioned backups; near real-time updates when changes occur; automatic deletions for removed workflows; faster migration and recovery; auditable history with timestamps.
A simple 3-step flow that anyone can follow.
Using the n8n API, export all AI agent definitions and prepare them for storage in GitHub.
For each exported definition, check if a matching GitHub file exists; update if changed, or create if missing.
Detect deletions in n8n and remove the corresponding GitHub files; log results for an audit trail.
A realistic scenario showing task, timing, and outcome.
Scenario: Nightly backup of 6 AI agent definitions from a production n8n instance to a GitHub repository. Run time is about 5 minutes. Outcome: all 6 definitions are updated or created in GitHub, with any removed definitions deleted from the repository and an audit log generated.
Roles that gain practical value from this AI agent.
needs reliable, centralized backups for disaster recovery
requires auditable, versioned backups for compliance
mavors migration workflows between environments
wants automated synchronization between n8n and GitHub
needs an indexable backup history for transfers
wants an auditable process that reduces risk during deployments
Tools the AI agent works with and how it uses them.
Creates, updates, and deletes files to mirror n8n AI agent definitions in the repository.
Exports all AI agent definitions for parity with the GitHub backup.
Practical scenarios where this AI agent excels.
Common questions and practical answers.
The AI agent exports every defined AI agent configuration and stores a corresponding GitHub file. Each file represents the complete, current definition for a given credential context. If a definition is removed in n8n, its GitHub file is deleted to maintain parity. The backup is structured to support easy restoration and migration, with an auditable trail of changes. The system uses unique identifiers to map definitions across environments for consistency.
The AI agent is designed to run on a schedule you configure (for example nightly or at specific intervals). It performs a full export, compares with GitHub, applies updates, and performs deletions in one pass. Each run creates a clear changelog, showing what was created, updated, or removed. You can also trigger it on-demand if you need an immediate sync before a migration.
Deletions are detected by comparing the current set of definitions in n8n against the existing GitHub files. If a definition exists in GitHub but not in n8n after a comparison, the corresponding file is removed. This ensures the repository always mirrors the live state of n8n. The audit log records each deletion for traceability.
The AI agent exports the definition with its associated credential contexts and maps it to a GitHub file by credential ID. If credentials change, the corresponding file is updated to reflect the new context. Access to GitHub is controlled via your configured authentication method, ensuring secure handling of secrets. The backup process maintains a consistent association between credentials and stored definitions.
Authentication to GitHub is handled through your configured authentication mechanism (personal access token, SSH key, or OAuth, depending on your setup). The AI agent uses the token or key to manage files with the necessary permissions. Access is scoped to the backup repository to minimize risk. Audit logs include the authentication event details for each run.
Yes. You can configure how backups are named and where they are stored within the repository. The mapping typically uses the credential context to ensure unique, stable filenames. You can adjust the naming convention to align with your team’s standards. Changes apply to subsequent runs and are reflected in the audit trail.
Yes. Each backup run generates an audit log detailing exports, comparisons, updates, creations, deletions, and any errors. The log helps with compliance and troubleshooting and can be exported for reporting. The log entries include timestamps and the identity of the process that performed the actions.
Automatically back up, sync, and clean up n8n work definitions in GitHub.
