AI agent memory management: save and retrieve via Googl

This automation template enables long-term memory storage and retrieval for AI agents without relying on expensive vector databases. It uses Google Docs as a low-cost persistent memory layer and Discord as the primary user interaction channel. Built on n8n and LangChain, it’s ideal for developers and teams building context-aware bots.

## Who it´s for
- AI developers needing affordable, scalable memory solutions for agents.
- Teams automating Discord-based support or moderation with AI.
- n8n users integrating LLMs with external knowledge sources.

## What the automation does
- Accepts memory commands (save/retrieve) via MCP trigger or external workflow call.
- Routes operations: stores data in Google Docs or retrieves based on request type.
- Processes queries using a LangChain agent powered by OpenAI model.
- Sends responses back to Discord—both in channels and direct messages.
- Maintains structured memory logs (decisions, facts, events) for future reference.

## What´s included
- Ready-to-use n8n workflow with MCP and workflow triggers.
- Logic for routing save and retrieve operations.
- Integrations with Google Docs API, Discord API, and OpenAI.
- Basic setup and adaptation guide.

## Requirements for setup
- n8n instance with workflow editing access.
- Active accounts: Google, Discord, and OpenAI.
- Configured API keys and OAuth credentials for all three services.
- Access to Google Docs for memory storage.

## Benefits and outcomes
- Avoids cost of paid vector databases by using Google Docs as storage.
- Preserves conversation context across agent restarts.
- Scalable memory capacity with no additional infrastructure costs.
- Flexible input: memories can be added manually or from other workflows.
- Interoperable with other n8n processes via MCP and workflow calls.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.