WhatsApp AI Assistant with Memory, Google Suite & Multi-AI Tools
Transforms WhatsApp into a multi-talented AI assistant for conversations, research, imaging, and productivity using memory, RAG, and tool orchestration.
The WhatsApp Productivity Assistant with Memory and AI Imaging is an advanced n8n workflow that converts your WhatsApp chat into a seamless AI powerhouse. It processes text and image messages, maintains conversational context via MongoDB vector store (RAG), and employs a central AI agent to intelligently route tasks to specialized tools like Google Suite integrations, multi-AI research, news fetching, schedule checks, and image generation/analysis.
Key components include WhatsApp trigger for incoming messages, routing by type (text/image), typing indicators for UX, image download/analysis via HTTP and AI nodes, and standardization into unified inputs. The core AI Agent, powered by high-end models like gpt-oss-120b, uses simple memory for short-term context and decides on tools or sub-agents such as Productivity Tools Agent for calendar/email tasks.
Benefits include effortless multi-tool orchestration from one chat interface, persistent memory for natural dialogues, and time savings on routine tasks. Ideal use cases: busy professionals managing schedules/emails via WhatsApp, researchers needing quick AI-driven info/images, educators handling course queries with imaging, or anyone seeking a personal AI butler without app-switching.
This high-complexity workflow supports extensive integrations (WhatsApp, Google Suite, MongoDB, multiple LLMs, HTTP APIs), making it perfect for agentic AI automation in productivity and education scenarios.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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