Block 1 - GitHub Issue Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2
Who's it for Open source maintainers, product teams with public repositories, and any organization receiving a steady stream of GitHub Issues. Ideal for small teams who waste hours per week triagin...
n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.github, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ayaka Sato.
Original n8n.io sourceOpen-source maintainers, product teams with public repositories, and any organization receiving a steady stream of GitHub Issues. Ideal for small teams who waste hours per week triaging duplicates and misrouted reports.
When a new Issue is opened, a GitHub webhook fires this workflow. It first filters for the "opened" action, then fetches the last 30 Issues from the repository. All Issue texts (new + past) are sent to OpenAI's embeddings API in a single batch call for efficiency. The workflow calculates cosine similarity between the new Issue and every past Issue. If the maximum similarity exceeds 0.85, the new Issue is auto-closed with a comment referencing the original. Otherwise, AI classifies it into one of four categories: bug (adds label + Slack alert to dev team), question (posts FAQ link as a comment), feature (appends to a roadmap Google Sheet), or spam (auto-close with label). AI is used only for classification — the duplicate detection uses deterministic vector math, and every action is rule-based.
Adjust duplicate_threshold for stricter or looser matching, change the embeddings model, or swap Sheets for Notion or Airtable.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Triage GitHub issues with OpenAI categorization and embedding-based duplicate detection |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Ticket Management, AI Summarization |
| Author | Ayaka Sato |
| Published | 23 Apr 2026 |
Use the JSON export at /data/workflows/15251/15251.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Who's it for Open source maintainers, product teams with public repositories, and any organization receiving a steady stream of GitHub Issues. Ideal for small teams who waste hours per week triagin...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.