Gmail Email Parser for RAG Agent with Mem0 Long-Term Memory

This workflow creates an autonomous engine that triggers on new Gmail emails, parses the sender, subject, and body content, then analyzes and structures it for storage in Mem0's long-term memory. Designed for self-hosted n8n with community nodes (HTTP alternative available), it solves the statelessness of typical email agents by building a persistent knowledge base from every interaction.

Key benefits include turning your inbox into a goldmine of structured client data, eliminating manual monitoring, and enabling scalable growth. No more reactive email management—emails become actionable intelligence for AI agents that remember past conversations.

Ideal use cases: Customer support automation, sales lead tracking, personalized client agents, or any RAG system needing email history. Part 1 of an agentic system, it preprocesses data reliably using plain text/HTML extraction for accuracy.

The multi-stage process ensures reliability: ingest via Gmail Trigger, prep with Set Target Email node, advanced parsing/analysis, and mem0 integration for vectorized, retrievable memory.