n8n workflows for Chat Trigger.

Wordpress Post Automation. Uses chatTrigger, chainLlm, lmChatOpenRouter, outputParserStructured. Event-driven trigger; 19 nodes.

n8n_triggers. Uses formTrigger, executeWorkflowTrigger, chatTrigger, errorTrigger. Event-driven trigger; 19 nodes.

ai_chat_agent. Uses agent, lmChatOpenAi, chat, chatTrigger. Chat trigger; 19 nodes.

desafio02_CSV. Uses googleDrive, chatTrigger, compression, supabase. Chat trigger; 19 nodes.

POC Sistema GenAI Híbrido para uso interno iFood -> Agente RAG + LLM Chain Routing. Uses chatTrigger, chainLlm, googleDrive, documentDefaultDataLoader. Chat trigger; 19 nodes.

Ejemplo. Uses chatTrigger, httpRequest, chainLlm, lmChatOpenAi. Chat trigger; 19 nodes.

40. Upload unlimited files to your vector database from Google Drive in seconds!. Uses googleDrive, vectorStorePinecone, agent, toolVectorStore. Chat trigger; 19 nodes.

Appointment_agent. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, httpRequestTool. Chat trigger; 19 nodes.

TopSourcer - Finds LinkedIn Profiles using natural language. Uses chatTrigger, stickyNote, googleSheets, httpRequest. Chat trigger; 18 nodes.

RAG Workflow For Company Documents stored in Google Drive. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger

Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI. Uses chatTrigger, agent, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 18 nodes.

Http Executeworkflow. Uses stickyNote, chatTrigger, lmChatOpenAi, memoryBufferWindow. Chat trigger; 18 nodes.

Multi-Agent Conversation. Uses chatTrigger, agent, splitInBatches, memoryBufferWindow. Chat trigger; 18 nodes.

n8n-RAG. Uses chatTrigger, chat, httpRequest. Chat trigger; 18 nodes.

google-drive-rag. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

EJ 7 - RAG (archivo pdf en la web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

Scrape_business_leads_from_Google_Maps_using_OpenAI_and_Google_Sheets__Use_for_free. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 18 nodes.

cv-elaborator. Uses chatTrigger, executeWorkflowTrigger, agent, lmChatGoogleGemini. Chat trigger; 18 nodes.

This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated docum

Engage multiple, uniquely configured AI agents (using different models via OpenRouter) in a single conversation. Trigger specific agents with @mentions or let them all respond. Easily scalable by edit

This workflow builds a virtual finance department inside n8n. At the center is a CFO Agent (O3 model) who acts like a strategic leader. When a financial request comes in, the CFO interprets it, decide

This n8n workflow simulates a full-service creative agency powered by AI. At the center is a Creative Director Agent (O3 model) who takes client requests, plans the creative direction, and delegates w

This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordin

Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation.

This n8n workflow is a multi-agent LinkedIn content factory. At its heart is the Content Director Agent (O3 model), who acts as the project manager. It listens for LinkedIn chat messages, analyzes the

Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations.

This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into

Use n8n to bring data from any API to your AI. This workflow uses the Chat Trigger to provide the chat interface, and the Custom n8n Workflow Tool to call a second workflow that calls the API.

User Input: The user pastes a job description or ideal candidate specifications into the workflow. Boolean Search String Generation: OpenAI processes the input and generates a precise LinkedIn Boolean

Many websites lack a smart, searchable interface. Visitors often leave due to unanswered questions. This workflow transforms any website into a Retrieval-Augmented Generation (RAG) chatbot—automatical

Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operation

This workflow simulates a virtual sales & marketing team where each AI agent has a role:

Navigate legal complexities with an AI-powered Chief Legal Officer (CLO) agent orchestrating specialized legal team members for comprehensive legal operations and risk management.

Complete AI-powered customer support department with a Support Director agent orchestrating specialized support team members for comprehensive customer service operations.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics)

🔥 Powered by OpenAI O3 & GPT-4.1-mini Multi-Agent System \#RevOps #n8nWorkflows #AIRevenue #OpenAI #GrowthHacking

Complete AI-powered data analytics department with a Chief Data Officer (CDO) agent orchestrating specialized data team members for comprehensive data science, business intelligence, and analytics ope

This n8n workflow creates an intelligent AI agent that automates browser interactions through Airtop's browser automation platform. The agent can control real browser sessions, navigate websites, inte

Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-

Chat to write or reword a blog post. The workflow stores each result in Google Sheets and uses a sub-workflow “Google tool” to count rows per session (your running context). If a session exceeds a row

This n8n workflow creates a complete AI-powered content department. It starts when a chat request is received, then a Content Director Agent (powered by OpenAI O3) analyzes the request and delegates t

Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution.

Trigger

Use Cases Quickly plan a trip by providing your destination and dates. Get real-time flight and accommodation details for a planned vacation. Receive a summary of your travel plans directly in your in

Tutorial Video

This workflow automates the search and extraction of hotel data from Booking.com. Triggered by a chat message, it uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data

This AI Agent helps you create short links from your original URLs. Each generated short link is automatically stored in a database table for easy management and tracking. Provide a long URL to the Ag

This template monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. It’s a practical, product

This template is only available on n8n self-hosted as it's making use of the community node for MCP Client.

This n8n template demonstrates a simple AI Agent that can: Scrape information from a provided listing link. Answer questions about a specific property using the scraped information. Use SerpAPI* to fi

AI Agent MCP for Email & News Research

📺 Full walkthrough video: https://youtu.be/XUvPeH5LSVU

Streamline the final stage of your content production workflow by automating publishing, formatting, metadata generation, and approval routing. This AI-powered subworkflow pulls optimized drafts from

This workflow automatically analyzes meeting effectiveness and provides constructive feedback:

This automation operates in three distinct phases: Ingestion, Storage, and Generation.

Real Estate Mega Infrastructure. Uses chatTrigger, agent, googleCalendar, httpRequest. Chat trigger; 18 nodes.

Automate_Blog_Content_Creation_with_GPT_4__Perplexity___WordPress. Uses httpRequest, chatTrigger, n8n-nodes-mcp, agent. Chat trigger; 18 nodes.

Main Workflow. Uses documentDefaultDataLoader, vectorStorePinecone, lmChatXAiGrok, embeddingsOpenAi. Webhook trigger; 18 nodes.

Main. Uses chatTrigger, gmailTrigger, lmChatGoogleGemini, toolWorkflow. Chat trigger; 18 nodes.

This workflow powers a support chat experience that uses an OpenAI RAG agent with in-memory vector search to answer questions from a knowledge base, and includes a manual ingestion flow that fetches a

Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI. Uses chatTrigger, agent, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 18 nodes.

RAG Workflow For Company Documents stored in Google Drive. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger

This workflow powers a RAG chatbot that answers chat messages using a Groq Llama model grounded in a Pinecone knowledge base, and automatically updates that knowledge base by ingesting new files added

Webhook Respondtowebhook. Uses stickyNote, manualTrigger, googleDrive, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

Ask a human. Uses memoryBufferWindow, toolWorkflow, executeWorkflowTrigger, stickyNote. Event-driven trigger; 17 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses manualTrigger, httpRequest, vectorStorePinecone, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

Open Deep Research - AI-Powered Autonomous Research Workflow. Uses chatTrigger, chainLlm, lmChatOpenRouter, httpRequest. Chat trigger; 17 nodes.

Open Deep Research - AI-Powered Autonomous Research Workflow. Uses chatTrigger, chainLlm, lmChatOpenRouter, httpRequest. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

💥🛠️Automate Blog Content Creation with GPT-4, Perplexity & WordPress. Uses stickyNote, httpRequest, chatTrigger, n8n-nodes-mcp. Chat trigger; 17 nodes.

🔍🛠️ Tavily Search & Extract - Template. Uses stickyNote, httpRequest, lmChatOpenAi, chainLlm. Chat trigger; 17 nodes.

Executeworkflow Slack. Uses stickyNote, chatTrigger, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Supabase Data Analyst Agent. Uses stickyNote, chatTrigger, agent, lmChatOpenRouter. Chat trigger; 17 nodes.

Facebook Post Automation. Uses httpRequest, agent, outputParserStructured, stickyNote. Chat trigger; 17 nodes.

Reasoning_Harness_Eval_Workflow. Uses lmChatOpenAi, httpRequestTool, agent, chatTrigger. Chat trigger; 17 nodes.

AI Clone Generator. Uses chatTrigger, agent, lmChatOpenAi, httpRequest. Chat trigger; 17 nodes.

weavite. Uses vectorStoreWeaviate, embeddingsOpenAi, googleSheets, chatTrigger. Event-driven trigger; 17 nodes.

Becomex v2. Uses chatTrigger, lmChatOllama, agent, toolWorkflow. Chat trigger; 17 nodes.

The Recap AI - Marketing Team Agent. Uses memoryBufferWindow, lmChatGoogleGemini, toolThink, toolWorkflow. Webhook trigger; 17 nodes.

AI_QA. Uses chatTrigger, agent, lmChatOllama, n8n-nodes-mcp. Chat trigger; 17 nodes.

EJ 7 - RAG (web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 17 nodes.

🤖 Facebook MCP AI Agent – Read, Reply & Manage Comments with GPT-4o. Uses chatTrigger, agent, memoryBufferWindow, mcpTrigger. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Use Vectors in RAG. Uses googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 17 nodes.

🔍🛠️ Tavily Search & Extract - Template. Uses httpRequest, lmChatOpenAi, chainLlm, chatTrigger. Chat trigger; 17 nodes.

This template is a complete, hands-on tutorial that lets you build and interact with your very first AI Agent.

Let your team create, track, and manage project tasks through natural conversation. This workflow uses an AI Project Manager Agent that chats with users, gathers the task details it needs, and automat

What this does

This workflow automates deep research by leveraging AI-driven search queries, web scraping, content analysis, and structured reporting. It enables autonomous research with iterative refinement, allowi

This workflow is ideal for content creators, solo founders, marketers, and AI enthusiasts who want to automate the full process of blog content creation. It is especially useful for professionals in t

This n8n template lets you build a smart AI chat assistant that can handle text, images, and PDFs — using OpenAI's GPT-4o multimodal model. It supports dynamic conversations and file analysis, making

Turn documents into an AI-powered knowledge base.

Using a Crew of AI agents (Senior Researcher, Visionary, and Senior Editor), this crew will automatically determine the right questions to ask to produce a detailed fundamental stock analysis.

This workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Specification (documentation) using natural language. Built with n8n, OpenAI's LLMs and

🔍 This n8n workflow integrates Tavily's search and extract APIs with AI summarization capabilities to process web content efficiently. Get your Tavily API key from https://app.tavily.com/home Replace

Whilst it is possible to use HTTP nodes to access Github Models, The aim of this template is to use it with existing n8n LLM nodes - saves the trouble of refactoring!

This workflow creates a sophisticated AI-powered sales assistant that automatically qualifies website visitors, schedules meetings, and manages the entire lead-to-booking pipeline without human interv

Managing multiple RAG AI agents can be complex when each has its own purpose and vector database. Manually tracking agents and deciding which one to query wastes time. LLMs often struggle to determine

This is a workflow that tries to answer user queries using the standard GPT-4 model. If it can't answer, it sends a message to Slack to ask for human help. It prompts the user to supply an email addre

I build intelligent automations with n8n and Make. This powerful workflow was designed to help teams automatically handle Instagram interactions with AI. Using Meta Graph API, LangChain, MCP Server, a

This workflow allows you to upload a PDF file and ask questions about it using the Question and Answer Chain and the Weaviate Vector Store nodes.

Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving information from an external vector database. In this post, we’ll walk through a

This workflow is ideal for: Business analysts and data professionals* who need to quickly analyze spreadsheet data through natural conversation Small to medium businesses* seeking AI-powered insights

This workflow allows you to search your Outlook mailbox with natural language. You type what you’re looking for (e.g., “invoice from last week”), and the workflow: Uses OpenAI to generate a search que

This workflow provides a comprehensive weather reporting system with two main functionalities: a scheduled daily summary and an interactive AI agent for dynamic queries.

Template Description Automatically generate intelligent summaries of your Telegram community discussions using AI, helping you stay updated on important conversations without reading every message. Th

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conver

This workflow automates the end-to-end process of capturing company information from Google Drive, storing it semantically in Pinecone, and interacting with users via an intelligent AI chatbot. It eli

This workflow is designed for B2B professionals to automatically identify and summarize business opportunities from a company's website.

This template is perfect for educational institutions, coaching centers (like UPSC, GMAT, or specialized technical training), internal corporate knowledge bases, and SaaS companies that need to provid

This workflow is perfect for: Healthcare ecommerce businesses that want to automate product recommendations. Founders or developers building an AI assistant using retrieval-augmented generation (RAG)

Please send a corporate website URL via chat.

A user sends a query via the chat widget and the Chat Trigger captures the message. The chat flow posts the query to the backend webhook (HTTP Request) which forwards it to the search service. The web

🤖 Asana AI Assistant: Project Management via Natural Language

Standardize Daily Construction Reports (DCR) with AI by capturing raw site inputs via chat and automatically generating structured Work Performance Data.

Why skim 10-K/10-Q by hand when AI can extract what matters in minutes?

Automatically create, evaluate, and optimize professional biographies with the Bio-Graphy Agent. This workflow uses a multi-agent system powered by GPT-5 to write, review, and enhance bios — then save

This n8n workflow template lets you extract insights from comments on your LinkedIn posts using Pinecone Assistant, Apify, and OpenAI. It scrapes LinkedIn comments using Apify and then retrieves relev

Fakturoid AI Agent is an AI-powered invoicing assistant for Czech freelancers and small businesses. It connects to Fakturoid — the most popular Czech invoicing platform — and lets you manage invoices

This workflow is a chat-based Business Data Analyst Chatbot built in n8n.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

AI-Powered Google Maps and Web Lead Generation Agent. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Honcho Empowered Email AI Agent. Uses lmChatOpenAi, agent, chatTrigger, httpRequest. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Scrape business leads from Google Maps using OpenAI and Google Sheets. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Rag-Strapi. Uses lmChatOllama, embeddingsOllama, chatTrigger, httpRequest. Chat trigger; 17 nodes.

Google Maps FULL. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 17 nodes.

Ask a human for help when the AI doesn't know the answer. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, executeWorkflowTrigger. Chat trigger; 17 nodes.

My Automations. Uses chatTrigger, agent, memoryBufferWindow, toolHttpRequest. Chat trigger; 17 nodes.

This workflow runs a chat-based AI consultant that researches your market with Tavily, generates a Business Model Canvas, Lean Canvas, and/or SWOT analysis, converts the results into a multi-sheet Exc

llamaparse_doc. Uses httpRequest, readWriteFile, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 17 nodes.

Visualize Your Sql Agent Queries With Openai And Quickchart Io. Uses lmChatOpenAi, executeWorkflow, executeWorkflowTrigger, httpRequest. Event-driven trigger; 16 nodes.

ERP AI chatbot for Odoo sales module. Uses memoryBufferWindow, lmChatOpenAi, toolCalculator, scheduleTrigger. Scheduled trigger; 16 nodes.

A/B Split Testing. Uses chatTrigger, agent, supabase, lmChatOpenAi. Chat trigger; 16 nodes.

Manual Stickynote. Uses googleDrive, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, stickyNote. Chat trigger; 16 nodes.

template-demo-chatgpt-image-1-with-drive-and-sheet copy. Uses manualTrigger, httpRequest, googleDrive, splitOut. Event-driven trigger; 16 nodes.

Splitout Http. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, httpRequest. Chat trigger; 16 nodes.

🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router. Uses chatTrigger, stickyNote, lmChatOllama, agent. Chat trigger; 16 nodes.

Firecrawl Search. Uses httpRequest, stickyNote, chatTrigger, lmChatOpenRouter. Chat trigger; 16 nodes.

fastcampus. Uses n8nTrainingCustomerMessenger, n8nTrainingCustomerDatastore, formTrigger, executeWorkflowTrigger. Event-driven trigger; 16 nodes.

Use cases are many: You can use it for marketing visuals, character art, digital posters, storyboards, or even daily image generation for your personal purposes. The flow is triggered by a chat messag

This workflow is for everyone who wants to have easier access to their Odoo sales data without complex queries.

This workflow template is designed for AI enthusiasts, developers, and privacy-conscious users who want to leverage the power of local large language models (LLMs) without sending data to external ser

🎬 Veo3 Instagram Reel Generator – AI-Powered Ad Creation in Minutes

This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms.

Bring your solo podcast to life — on full autopilot. This workflow uses GPT-5 and Claude Sonnet to turn a single topic input into a complete podcast episode intro and ready-to-send audio file.

Oftentimes, it's useful to test different settings for a large language model in production against various metrics. Split testing is a good method for doing this.

Building a support chatbot need not be complicated! If building and indexing vector stores or duplicating data isn't necessarily your thing, an alternative implementation of the RAG approach is to lev

Receive a chat input as an image prompt. Call OpenAI's API to generate an image. Split the returned images and process them one by one. Upload each generated image to Google Drive. Save image links an

This workflow was built with love to help you manage your Supabase database using natural language, powered by the MCP (Multi-Channel Protocol) AI Agent on n8n.

This workflow serves as a solid foundation when you need an AI Agent to return output in a specific JSON schema, without relying on the often-unreliable Structured Output Parser.

Status: Ready for Use ✅ Note: This template is built entirely with official n8n nodes—no community‑node installation required.

⚠️ Disclaimer: This workflow uses Google Calendar and Gmail nodes which you will have to configure yourself

Disclaimer: This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Ever wanted to just tell your 3d printer what to do remotely?

📖 Overview

This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. Whether you are building a research a

Thousands of MCP Servers exist and many are updated daily, making server selection difficult for LLMs. Current approaches require manually downloading and configuring servers, limiting flexibility. Wh

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This workflow is an AI-powered text-to-speech production pipeline designed to generate highly expressive audio using ElevenLabs v3. It automates the entire process from raw text input to final audio d

> This n8n workflow empowers users to manage AWS S3 buckets and files using natural language via Slack or chat platforms. Equipped with an OpenAI-powered Agent and integrated audit logging to Googl

Provide your S3 bucket containing documents such as PDFs and MS Word in the "Get Files from S3" node. You will need to provide AWS credentials that will allow the node to access the bucket and downloa

N8N-Lead-Generation. Uses lmChatOpenRouter, toolWorkflow, memoryBufferWindow, agent. Chat trigger; 16 nodes.

beyscolleciton. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 16 nodes.

My Workflow. Uses chatTrigger, openAi, httpRequest, compression. Event-driven trigger; 16 nodes.

Agent:Order Management Agent. Uses lmChatOpenRouter, agent, executeWorkflowTrigger, chatTrigger. Event-driven trigger; 16 nodes.

3498. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, httpRequest. Chat trigger; 16 nodes.

I2A2. Uses agent, lmChatGoogleGemini, chatTrigger, executeWorkflowTrigger. Chat trigger; 16 nodes.

Self-Learning Memory Bot. Uses telegramTrigger, agent, telegram, airtable. Event-driven trigger; 16 nodes.

N8N Agent. Uses httpRequest, lmChatGoogleGemini, outputParserStructured, googleSheets. Webhook trigger; 16 nodes.

Workflow 3498. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, httpRequest. Chat trigger; 16 nodes.

Wordpress-content-generator. Uses httpRequest, agent, chatTrigger, lmChatGoogleGemini. Chat trigger; 16 nodes.

Chatbot. Uses memoryPostgresChat, mcpClientTool, toolCalculator, toolWorkflow. Event-driven trigger; 16 nodes.

vectordb_many_pdfs. Uses vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Chat trigger; 16 nodes.

This template ingests internal docs into an in-memory vector knowledge base using OpenAI embeddings, then runs a public support chat powered by Anthropic Claude that answers only from that knowledge a

This workflow exposes an n8n chat webhook that powers a website chatbot using an OpenAI chat model, with short-term session memory to keep recent conversation context. Receives a visitor message via t

This workflow receives an n8n Chat message, uses Amazon Bedrock AgentCore to triage it and route it to one of three specialist agents that share customer memory, then posts the specialist’s reply to a

This workflow receives a chat message, routes it to Agnes AI to generate either a text response, an image, or a video, uploads generated images to ImageKit, and sends completed videos to a Telegram ch

Complete Youtube. Uses agent, chatTrigger, toolWorkflow, lmChatOpenAi. Chat trigger; 15 nodes.

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 15 nodes.

Complete Youtube. Uses agent, chatTrigger, toolWorkflow, lmChatOpenAi. Chat trigger; 15 nodes.

Manual Stickynote. Uses stickyNote, manualTrigger, vectorStorePinecone, chatTrigger. Event-driven trigger; 15 nodes.

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 15 nodes.

Blockchain DEX Screener Insights Agent. Uses chatTrigger, lmChatOpenAi, memoryBufferWindow, telegramTrigger. Chat trigger; 15 nodes.