AutomationFlowsRecipes › Google Gemini Chat → Memory Buffer Window

Google Gemini Chat → Memory Buffer Window

When you need Google Gemini Chat and Memory Buffer Window talking to each other, here are the 259 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Google Gemini Chat with Memory Buffer Window

AI & RAG

Are you drowning in daily operational chaos, desperately trying to juggle sales, projects, content, and client communication? Imagine an AI brain that handles it all, freeing you to lead your business

Telegram Trigger, Telegram, OpenAI +13
AI & RAG

Telegram Trigger receives incoming messages (text, voice, photo, document). Switch routes by message type to appropriate processors: Text → forwarded as-is. Voice → downloaded and sent to Transcribe a

Memory Buffer Window, Telegram Trigger, Telegram +12
AI & RAG

How it Works

Memory Buffer Window, Agent, Output Parser Structured +9
AI & RAG

Transform your Telegram messenger into a powerful, multi-modal personal or team assistant. This n8n workflow creates an intelligent agent that can understand text, voice, images, and documents, and ta

Memory Buffer Window, Telegram Trigger, Telegram +10
AI & RAG

This comprehensive workflow bundle is designed as a powerful starter kit, enabling you to build a multi-functional AI assistant on Telegram. It seamlessly integrates AI-powered voice interactions, an

Telegram Trigger, Telegram, OpenAI +19
AI & RAG

A comprehensive n8n workflow demonstrating advanced AI agent orchestration, stateful conversation management, and multi-modal input processing for nutrition tracking applications.

Telegram, Memory Buffer Window, Google Gemini Chat +6
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

The "WhatsApp Productivity Assistant with Memory and AI Imaging" is a comprehensive n8n workflow that transforms your WhatsApp into a powerful, multi-talented AI assistant. It's designed to handle a w

WhatsApp Trigger, Agent, HTTP Request +20
AI & RAG

This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty

Telegram, Google Sheets Trigger, Agent +26
AI & RAG

> AI-powered nutrition assistant for Telegram — log meals, set goals, and get personalized daily reports with Google Sheets integration.

Telegram, Google Gemini, Google Gemini Chat +7
AI & RAG

This automation is designed to help you generate AI-powered music tracks, cover art, and fully rendered music videos — all triggered from a simple Telegram chat and managed via Google Sheets.

OpenAI Chat, Memory Buffer Window, Output Parser Structured +11
AI & RAG

This Shopify AI automation is an advanced n8n-powered workflow that transforms Shopify product collections into SEO-optimized blog articles with images, while maintaining full visibility and control t

Shopify Trigger, HTTP Request, Google Sheets +7
AI & RAG

Automate Google Classroom via the Google Classroom API to efficiently manage courses, topics, teachers, students, announcements, and coursework.

Chat Trigger, Agent Tool, HTTP Request Tool +3
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Supabase Vector Store, Document Default Data Loader +8
AI & RAG

Tech Radar. Uses googleDrive, documentDefaultDataLoader, stickyNote, mySql. Scheduled trigger; 53 nodes.

Google Drive, Document Default Data Loader, MySQL +15
AI & RAG

This project is built on top of the famous open source ThoughtWorks Tech Radar.

Google Drive, Document Default Data Loader, MySQL +15
AI & RAG

This workflow is an AI-powered Dental Appointment Assistant that automates appointment booking, rescheduling, and cancellations through Telegram or a Webhook. It uses intelligent agents to understand

Memory Buffer Window, Output Parser Structured, Mcp Client Tool +12
AI & RAG

Overview

Google Gemini Chat, Agent, Telegram Trigger +6
AI & RAG

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

Output Parser Structured, Telegram, N8N Nodes Tesseractjs +14
AI & RAG

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. Event-driven trigger; 50 nodes.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

HR managers waste hours manually logging attendance, calculating work hours, and tracking salary advances in spreadsheets. Onboarding new staff often involves messy paperwork or scattered chat message

Telegram Trigger, Memory Buffer Window, Telegram +4

See more Google Gemini Chat workflows · Memory Buffer Window workflows

FAQ

How do I trigger a Memory Buffer Window action from Google Gemini Chat?

Most workflows in this list use either a Google Gemini Chat webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Memory Buffer Window nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Google Gemini Chat and a Memory Buffer Window account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Google Gemini Chat → Memory Buffer Window workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.