Build a WhatsApp Assistant with Memory, Google Suite, Multi-AI, Research, and Imaging

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 wide range of tasks by understanding user messages, analyzing images, and connecting to various external tools and services. The assistant can hold natural conversations, remember past interactions using a MongoDB vector store (RAG), and decide which tool is best suited for a user's request. Whether you need to check your schedule, research a topic, get the latest news, create an image, or even analyze a picture you send, this workflow orchestrates it all seamlessly through a single WhatsApp chat interface. The workflow is structured into several interconnected components: - **WhatsApp Trigger & Incoming Message Processing:** This is the entry point, starting when a message (text or image) is received via WhatsApp. A `Route Message by Type (Image/Text)` node then intelligently routes the message based on its content type. A `Typing...` node sends a typing indicator to the user for a better experience. If an image is received, it's downloaded, processed via an HTTP Request, and analyzed by the `Analyze image` node. The `Code1` node then standardizes both text and image analysis output into a single, unified input for the main AI agent. - **Core AI Agent:** This is the brain of the operation. The `AI Agent1` node receives the user's input, maintains short-term conversational memory using `Simple Memory`, and uses a powerful language model (`gpt-oss-120b2` or `gpt-oss-120b1`) to decide which tool or sub-agent to use. It orchestrates all the other agents and tools. - **Productivity Tools Agent:** This group of nodes connects the assistant to your personal productivity suite. It includes sub-agents and tools for managing `Google Calendar`, `Google Tasks`, and `Gmail`, allowing you to schedule events, manage to-dos, and read emails. It leverages a language model (`gpt-4.1-mini` or `gemini-2.5-flash`) for understanding and executing commands within these tools. - **Research Tool Agent:** This agent handles all research-related queries. It has access to multiple search tools (`Brave Web Search`, `Brave News Search`, `Wikipedia`, `Qwant`, and a custom `perplexcia` search) to find the most accurate and up-to-date information from the web. It uses a language model (`gpt-oss-120b` or `gpt-4.1-nanoChat Model1`) for reasoning. - **Long-term Memory Webhook:** A dedicated sub-workflow (`Webhook2`) that processes conversation history, extracts key information using `Extract Memory Info`, and stores it in a `MongoDB Atlas Vector Store` for long-term memory. This allows the AI agent to remember past preferences and facts. - **Image Generation Webhook:** A specialized sub-workflow (`Webhook3`) triggered when a user asks to create an image. It uses a dedicated `AI Agent` with `MongoDB Atlas Vector Store1` for contextual image prompt generation, `Clean Prompt Text1` to refine the prompt, an `HTTP Request` to an external image generation API (e.g., together.xyz), and then converts and sends the generated image back to the user via WhatsApp. --- ## Use Cases - **Personal Assistant:** Schedule appointments, create tasks, read recent emails, and manage your daily agenda directly from WhatsApp. - **Information Retrieval:** Ask any factual, news, or research-based question and get real-time answers from various web sources. - **Creative Content Generation:** Request the AI to generate images based on your descriptions for logos, artwork, or social media content. - **Smart Communication:** Engage in natural, contextual conversations with an AI that remembers past interactions. - **Image Analysis:** Send an image and ask the AI to describe its contents or answer questions about it. --- ## Pre-conditions Before importing and running this template, you will need: - **Self-hosted n8n Instance:** This template requires a self-hosted n8n instance as it uses webhooks that need public accessibility. - **WhatsApp Business Account:** A Meta Developer Account configured for WhatsApp Business Platform API access. - **MongoDB Atlas Account:** A MongoDB Atlas cluster with a database and collection set up for the vector store. - **Google Cloud Project:** Configured with API access for Google Calendar, Google Tasks, and Gmail. - **API Keys/Accounts for:** - **OpenWeatherMap:** For weather forecasts. - **Groq, OpenRouter, or Vercel AI Gateway:** For various Language Models (e.g., `gpt-oss-120b`, `gpt-5-nano`, `gpt-4o-mini`). - **Mistral Cloud:** For embedding models (e.g., `codestral-embed-2505`). - **Brave Search:** For web and news searches. - **Qwant API:** For structured search results. - **Together.xyz or similar Image Generation API:** For creating images. - **Perplexity API (or self-hosted)**