AI Agent: Enhance Chatbots with Long-Term Memory & Tool Integration

Name: AI Agent: Enhance Chatbots with Long-Term Memory & Tool Integration
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Author: Free N8N

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AI & LLMAIAgentAutomationChatbotGmailGoogle DocsLLMLangchainMemoryOpenAITelegram

Empower your AI chatbot with n8n! Integrate long-term memory via Google Docs and leverage OpenAI tools for advanced conversational AI. Automate memory saving, retrieval, and notifications.

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About This Workflow

How it works

This n8n workflow empowers AI agents with long-term memory capabilities by leveraging Langchain and various n8n nodes.

It starts with a chatTrigger to receive messages and an OpenAI Chat Model for initial processing. A memoryBufferWindow stores short-term context. The core logic is handled by the agent node, which uses a systemMessage to guide its behavior and offers tools for memory management.

A switch node acts as a router, directing the flow based on the agent's requested action: save_long_term_memory, retrieve_long_term_memory, send_memories_to_telegram, or send_memories_to_gmail.

Saving Memories: The save_long_term_memory tool uses a googleDocs node to append new memories (date and content) to a specified Google Doc.
Retrieving Memories: The retrieve_long_term_memory tool also uses a googleDocs node to fetch existing memories from the same document.
Sending Memories: For notifications, memories are formatted into plain text for Telegram (chainLlm then telegram node) or an HTML table for Gmail (chainLlm then gmail node).

The workflow is designed to be triggered by other workflows or directly via a chat interface.

Key Features

AI Agent with contextual awareness
Long-term memory storage and retrieval using Google Docs
Seamless integration with OpenAI for advanced LLM capabilities
Real-time notifications via Telegram and Email
Dynamic tool routing for memory management and communication

How To Use

Configure Credentials: Ensure your OpenAI API Key, Google Docs OAuth2 credentials, and Telegram Bot Token are set up in n8n.
Set Google Docs URL: Update the documentURL parameter in the Save Long Term Memories and Retrieve Long Term Memories nodes with your target Google Doc ID.
Set Telegram Chat ID: Configure the chatId parameter in the Send Success Message to Telegram node using an environment variable (e.g., $env.TELEGRAM_CHAT_ID).
Set Email Address: Configure the sendTo parameter in the Email Workflow Stats node using an environment variable (e.g., $env.EMAIL_ADDRESS_JOE).
Trigger the Workflow: Execute the workflow either directly or via another n8n workflow.
Interact with the Agent: Send messages to the chatTrigger webhook URL. The AI agent will respond based on its instructions and memory.

Apps Used

Agent

Automation

Chatbot

Gmail

Google Docs

LLM

Langchain

Memory

OpenAI

Workflow JSON

{
  "id": "b76edd1c-a69b-4cbb-96dd-f255614ef873",
  "name": "AI Agent: Enhance Chatbots with Long-Term Memory & Tool Integration",
  "nodes": 0,
  "category": "AI & LLM",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.