Streamline GitHub Issue Triage with AI-Powered Workflows

Transform your GitHub issue management from a time-consuming manual process into an intelligent, automated system that detects duplicates and routes issues to the right team members instantly. This AI-powered n8n workflow eliminates hours of weekly triage work for open-source maintainers and product teams.

What this workflow does

When a new GitHub issue is opened, this workflow automatically springs into action through webhook triggers. It fetches the last 30 issues from your repository and uses OpenAI's embeddings API to perform intelligent duplicate detection via cosine similarity calculations. If similarity exceeds 0.85 threshold, the new issue gets auto-closed with a reference to the original. For non-duplicates, AI classification routes issues into four categories: bugs (labeled and Slack alerts sent to dev team), questions (auto-replies with FAQ links), feature requests (logged to Google Sheets roadmap), or spam (auto-closed and labeled).

Use cases

• Open-source projects receiving dozens of duplicate bug reports and feature requests
• Product teams managing public repositories who need intelligent issue routing
• Small development teams overwhelmed by manual GitHub issue triage
• SaaS companies using GitHub for customer support and feature tracking

Technical details

Built with essential n8n nodes including GitHub integration for issue management, OpenAI API calls for embeddings and classification, Slack notifications for team alerts, Google Sheets integration for roadmap tracking, and logical flow control through if/switch nodes. The workflow uses deterministic vector mathematics for duplicate detection rather than AI guesswork, ensuring reliable automation.

Setup requires GitHub Personal Access Token, webhook configuration, Google Sheets preparation, and credential registration for GitHub and OpenAI APIs. Perfect for automation engineers and n8n users looking to streamline repository management workflows.