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Planned, not doneThe source describes an intention, not a finished result.

Reply to new GitHub issues automatically with a Dify workflow and GitHub trigger

Dify’s tutorial starts a workflow the moment an issue is opened, has an agent node read it and write a helpful comment, and posts that comment back to the issue through GitHub.

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The problem

How it works

In a short Dify video, a GitHub account is connected to Dify with OAuth and a GitHub Issue trigger starts a workflow whenever a new issue is created. An agent node reads the issue and writes a reply, and a Create Issue Comment node posts it on the issue. Dify’s documentation explains the trigger behind it: you install a GitHub trigger integration, subscribe to events such as Issue, Pull Request or Push, and either let Dify create the webhook after you authorise it or add the webhook yourself with the callback URL Dify gives you. Triggers work in Workflow apps only.

Results and limitations

This is a vendor tutorial without reported results, so it is marked planned.

Before you try it

An automatic reply goes out under your account as soon as an issue opens, so a wrong or overconfident answer is public at once; on a busy repository, consider labelling or drafting first and posting after review. Anyone can write an issue, so treat its text as untrusted input and do not give the workflow tools that change code or settings. Each integration allows up to 10 subscriptions per workspace. Results depend on your setup and were not independently reproduced by Top 200 Repos.

Tools and repositories

Tools
Dify · GitHub
Prerequisites
A Dify workspace (cloud or self-hosted) with the GitHub trigger integration and access to the repository.

Try it yourself: Write the issue-reply instructions

Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].

Preview
You reply to new issues in [Repository], a project that [What the project does]. Read the issue title and body. If it is a bug report missing [Required details], ask for them politely. If it is a question answered in [Docs URL], link the right page. Otherwise thank the author and say a maintainer will look. Never promise fixes or dates, and never include links outside [Allowed link domains].

Test it on a private repository with a few sample issues before turning it on for a public one.

Related videos

About langgenius/dify

About langgenius/dify

Independent creators. Listing a video implies no endorsement, sponsorship or partnership.

Sources

  1. AI Handles Your Github Issues Automatically (opens in a new tab)

    Vendor post · youtube.com · Published 15 Dec 2025 · Source checked 13 Nov 2026, 19:26 UTC

    What this source supports
    • Connect GitHub to Dify through OAuth and start a workflow with the GitHub Issue Trigger
    • An AI agent analyses the issue and generates a comment
    • The comment is posted back to GitHub with a Create Issue Comment node
  2. Integration Trigger (opens in a new tab)

    Project documentation · docs.dify.ai · Undated · Source checked 13 Nov 2026, 19:28 UTC

    What this source supports
    • Triggers are available for Workflow applications only
    • A GitHub trigger integration can subscribe to events such as Pull Request, Push and Issue
    • Subscriptions are webhooks, created automatically after OAuth or API key authorisation, or manually with a callback URL
    • Up to 10 subscriptions per integration per workspace
Report a problem

Planned, not done

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docs.dify.ailanggenius/dify, firecrawl/firecrawl
Reported by source

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github.comn8n-io/n8n
Reported by source

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gouthamve.dev · 21 Apr 2026anthropics/claude-code
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x.ai · 11 Aug 2026
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Anthropic's computer-use-demo runs Claude inside a Docker desktop that you watch in the browser, with a chat panel, so you can test screen, mouse and keyboard automation away from your own machine.

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Turn Langflow flows into MCP tools that Cursor or Claude can call

Langflow serves every project as an MCP server, so a flow you built visually, such as document Q&A, becomes a tool that Cursor, Claude Desktop or another MCP client can call by name.

docs.langflow.orglangflow-ai/langflow