⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) YouTube Video Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (13)
- Code
n8n-nodes-base.code - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Split Out
n8n-nodes-base.splitOut - Summarize
n8n-nodes-base.summarize - HTTP Request
n8n-nodes-base.httpRequest - Merge
n8n-nodes-base.merge - Aggregate
n8n-nodes-base.aggregate - Edit Fields (Set)
n8n-nodes-base.set - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow
What it does
🎥 YouTube Video AI Agent Workflow This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the details and transcript are retrieved, you can chat with the AI agent to explore or analyze the video's content in a conversational and insightful manner. 🌟 How the Workflow Works 1. 🔗 Input Video ID: The user provides a YouTube video ID as input to the workflow. 2. 📄 Data Retrieval: The workflow fetches essential details about the video (e.g., title, description, upload date) and retrieves its transcript using YouTube's Data API and additional tools for transcript extraction. 3. 🤖 AI Agent Interaction: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a conversation with the agent about the video's content, such as: - Summarizing the transcript. - Analyzing key points. - Clarifying specific sections. 4. 💬 Dynamic Responses: The AI agent uses natural language processing (NLP) to generate contextual and accurate responses based on the video data, ensuring a smooth and intuitive interaction. --- 🚀 Use Cases - 📊 Content Analysis: Quickly analyze long YouTube videos by querying specific sections or extracting summaries. - 📚 Research and Learning: Gain insights from educational videos or tutorials without watching them entirely. - ✍️ Content Creation: Repurpose transcripts into blogs, social media posts, or other formats efficiently. - ♿ Accessibility: Provide an alternative, text-based way to interact with video content for users who prefer reading over watching. --- 🛠️ Resources for Getting Started - Google Cloud Console (for API setup): Visit Google Cloud's Get Started Guide to configure your API access. - YouTube Data API Key Setup: Follow this guide to create and manage your YouTube Data API key. - Install n8n Locally: Refer to this installation guide for setting up n8n on your local machine. --- ✨ Sample Prompts "Tell me about this YouTube video with id: JWfNLFgV0" "Can you provide a list of key takeaways from this video with id: youtube-video-id?"