AI Agent Chatbot with Long-Term Memory and Note Storage
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Build an intelligent AI chatbot with persistent long-term memory and efficient note-taking capabilities. This workflow integrates with Telegram for seamless communication and Google Docs for durable storage.
About This Workflow
This n8n workflow empowers you to create a sophisticated AI chatbot that remembers conversations and stores important information. Leveraging the power of AI agents and Langchain, it can handle chat inputs, retrieve and save long-term memories from Google Docs, and optionally send responses via Telegram. The chatbot is designed to learn and adapt by storing key user interactions and specific notes, ensuring a more personalized and context-aware experience. With its flexible configuration, you can tailor its memory capacity and storage preferences to suit your unique needs, making it an invaluable tool for personal assistants, customer support, or knowledge management.
Key Features
- Intelligent AI Agent: Utilizes advanced LLMs like GPT-4o-mini or DeepSeek-V3 to understand and respond to user queries.
- Long-Term Memory: Seamlessly stores and retrieves past conversations and user preferences from Google Docs.
- Note Storage: Dedicated functionality to save specific notes and reminders in a structured manner.
- Telegram Integration: Optionally sends chatbot responses directly to your Telegram account.
- Configurable Memory: Adjust the context window for short-term memory management.
How To Use
- Trigger Setup: Configure the "When chat message received" node to listen for incoming messages (e.g., from a webhook or Telegram).
- Memory Retrieval: Connect the "Retrieve Long Term Memories" node (Google Docs) to load past conversations or user data.
- AI Agent Configuration: Set up the "AI Tools Agent" node with your desired LLM (e.g., gpt-4o-mini or DeepSeek-V3) and define its system message and rules for memory and note management.
- Memory Management: Integrate the "Window Buffer Memory" node to manage short-term conversational context. Optionally, use the "Save To Current Chat Memory" sticky note to indicate saving to the buffer.
- Long-Term Storage: Connect the "Save Long Term Memories" node (Google Docs) to persist important information. Ensure your Google Doc ID and credentials are correctly set.
- Note Taking: Use the "Save Note" functionality within the AI Agent's instructions or a dedicated node if needed.
- Response Handling: The "Chat Response" node processes the AI's output.
- Telegram Output (Optional): Configure the "Telegram Response" node with your chat ID and credentials to send the AI's reply to Telegram.
Apps Used
Workflow JSON
{
"id": "720d46f3-cd7a-40fa-b344-312ed0e9cea0",
"name": "AI Agent Chatbot with Long-Term Memory and Note Storage",
"nodes": 27,
"category": "Personal",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 720d46f3-cd7a...
About the Author
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Connecting CRM, Notion, and Slack to automate your life.
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