n8n workflows for Memorymongodbchat.

This workflow creates a multi-talented AI assistant named Simran that interacts with users via Telegram. It can handle text and voice messages, understand the user's intent, and perform various tasks.

WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.

This workflow integrates multiple productivity tools into a single AI-powered assistant using n8n, acting as a centralized control hub to receive and execute tasks across Google Calendar, Gmail, Googl

Author: Nguyen Thieu Toan Category: Community & Knowledge Automation Tags: Telegram, Reddit, n8n Forum, AI Summarization, Gemini, Groq

This n8n template automates the collection, storage, and safety analysis of Facebook posts while simultaneously providing an interactive AI assistant on Telegram.

This template is designed for internal support teams, product specialists, and knowledge managers who want to build an AI-powered knowledge assistant with retrieval-augmented generation (RAG) and rein

This n8n workflow creates a cutting-edge, multi-modal AI Memory Assistant designed to capture, understand, and intelligently recall your personal or business information from diverse sources. It autom

Geminis. Uses toolSerpApi, googleGemini, chatTrigger, agent. Event-driven trigger; 22 nodes.

This workflow allows you to build a smart Zalo chatbot that automatically summarizes and delivers the latest news using Google Gemini and RSS feeds. It’s perfect for keeping users informed with AI-cur

TTCM CNM. Uses outputParserStructured, agent, toolWorkflow, memoryMongoDbChat. Webhook trigger; 18 nodes.

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

This workflow creates content for your primary keywords in a Google Sheet by using SERP data and natural language skills of LLMs to create content at scale.

first Flow. Uses agent, lmChatOpenAi, n8n-nodes-mcp, memoryMongoDbChat. Webhook trigger; 17 nodes.

Cognito FAQ. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 16 nodes.

This n8n workflow telegram bot is designed for crypto, forex and stock traders, quantitative analysts, and AI enthusiasts who want to explore how different Large Language Models (LLMs) perform in real

Travel AssistantAgent. Uses chatTrigger, memoryMongoDbChat, lmChatGoogleGemini, vectorStoreMongoDBAtlas. Chat trigger; 14 nodes.

Building agentic AI workflows often requires multiple moving parts: memory management, document retrieval, vector similarity, and orchestration.

Classify-Outlook-Emails-And-Move. Uses agent, memoryMongoDbChat, microsoftOutlook, lmChatGoogleGemini. Event-driven trigger; 10 nodes.

Chatbot. Uses memoryMongoDbChat, httpRequestTool, lmChatMistralCloud, agent. Webhook trigger; 9 nodes.

SD 提示词助手. Uses agent, lmChatOpenAi, telegramTrigger, telegram. Event-driven trigger; 7 nodes.