OpenRuna
Sign in
← Workflows

⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis

29 nodes · executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut

Engine
n8n
Nodes
29
Trigger
scheduled/triggered
Source file
1463_Splitout_Code_Automate_Webhook.json

Workflow flow

IntegrationsExecuteWorkflowChatMemoryBufferWindowLmChatOpenAiAgentSplit OutSummarizeHTTPAggregateToolWorkflowCode@n8n/n8n-nodes-langchain.chat+6 more
100%
TRIGGER

When Executed by Another Workflow

ExecuteWorkflow

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

gpt-4o-mini1

@n8n/n8n-nodes-langchain.lmChatOpenAi

YouTube Processing Tool

@n8n/n8n-nodes-langchain.toolWorkflow

DeepSeek-V3 Chat

@n8n/n8n-nodes-langchain.lmChatOpenAi

YouTube Video Agent

@n8n/n8n-nodes-langchain.agent

Workflow Variables

Set

Get YouTube Transcript

Code

Create YouTube API URL

Code

Split Out Transcript Segments

Split Out

Get YouTube Video Details

HTTP

Combine Transcript Segments

Summarize

Merge YouTube Details & Transcript

Merge

Create One JSON Object

Aggregate

Respond with YouTube Details & Transcript

Set

16 steps · flows top to bottom, branches left to right

Browse by integration

executeWorkflowchatmemoryBufferWindowlmChatOpenAiagentsplitOutsummarizehttpRequestaggregatetoolWorkflow
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: ⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis. 29 nodes across executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" chains 29 nodes to move data between executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest. 29 nodes · executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 29-node flow from scratch.
  • Benchmark it against your current executeWorkflow integration to spot missing steps or redundant nodes.
  • Study how data moves from executeWorkflow to chat before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the executeWorkflow stack.

Example output

Imported into n8n, "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" exposes 29 configured nodes. Trigger type: scheduled/triggered. Integrations: executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest. Reconnect the executeWorkflow credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" JSON into a plain-English runbook, node by node. It can flag where executeWorkflow rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" — extract executeWorkflow IDs and secrets into environment variables without changing the 29-node structure.

Frequently asked questions

How do I import "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" use?
It uses: executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest. The flow diagram above shows how each service connects across the 29 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own executeWorkflow and chat credentials in n8n after import.
What trigger type does "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for executeWorkflow, chat, memoryBufferWindow, lmChatOpenAi, agent, splitOut, summarize, httpRequest.

Related resources