Telegram Personal Assistant with Long-Term Memory & Note-Taking

This n8n workflow transforms your Telegram bot into a powerful personal assistant that handles voice, photo, and text messages. The assistant uses AI to interpret messages, save important details as long-term memories or notes in a Baserow database, and recall information for future interactions.

🌟 How It Works

1. Message Reception & Routing

   • Telegram Integration: The workflow is triggered by incoming messages on your Telegram bot.
   • Dynamic Routing: A switch node inspects the message to determine whether it's voice, text, or photo (with captions) and routes it for the appropriate processing.

2. Content Processing

   • Voice Messages: Audio files are retrieved and sent to an AI transcription node to convert spoken words into text.
   • Text Messages: Text is directly captured and prepared for analysis.
   • Photos: If an image is received, the bot fetches the file (and caption, if provided) and uses an AI-powered image analysis node to extract relevant details.

3. AI-Powered Agent & Memory Management

   • The core AI agent (powered by GPT-4o-mini) processes the incoming message along with any previous conversation history stored in PostgreSQL memory buffers.
   • Long-Term Memory: When a message contains personal or noteworthy information, the assistant uses a dedicated tool to save this data as a long-term memory in Baserow.
   • Note-Taking: For specific instructions or reminders, the assistant saves concise notes in a separate Baserow table.
   • The AI agent follows defined rules to decide which details are saved as memories and which are saved as notes.

4. Response Generation

   • After processing the message and updating memory/notes as needed, the AI agent crafts a contextual and personalized response.
   • The response is sent back to the user via Telegram, ensuring smooth and natural conversation flow.

🚀 Key Features

• Multimodal Input:
  Seamlessly handles voice, photo (with captions), and text messages.

• Long-Term Memory & Note-Taking:
  Uses a Baserow database to store personal details and notes, enhancing conversational context over time.

• AI-Driven Contextual Responses:
  Leverages an AI agent to generate personalized, context-aware replies based on current input and past interactions.

• User Security & Validation:
  Incorporates validation steps to verify the user's Telegram ID before processing, ensuring secure and personalized interactions.

• Easy Baserow Setup:
  Comes with a clear setup guide and sample configurations to quickly integrate Baserow for managing memories and notes.

🔧 Setup Guide

1. Telegram Bot Setup:

   • Create your bot via BotFather and obtain the Bot Token.
   • Configure the Telegram webhook in n8n with your bot's token and URL.

2. Baserow Database Configuration:

   • Memory Table:
     • Create a workspace titled "Memories and Notes".
     • Set up a table (e.g., "Memory Table") with at least two fields:
       • Memory (long text)
       • Date Added (US date format with time)
   • Notes Table:
     • Duplicate the Memory Table and rename it to "Notes Table".
     • Change the first field's name from "Memory" to "Notes".

3. n8n Workflow Import & Configuration:

   • Import the workflow JSON into your n8n instance.
   • Update credentials for Telegram, Baserow, OpenAI, and PostgreSQL (for memory buffering) as needed.
   • Adjust node settings if you need to customize AI agent prompts or memory management rules.

4. Testing & Deployment:

   • Test your bot by sending various message types (text, voice, photo) to confirm that the workflow processes them correctly, updates Baserow, and returns the appropriate response.
   • Monitor logs to ensure that memory and note entries are correctly stored and retrieved.

✨ Example Interactions

• Voice Message Processing:

  • User sends a voice note requesting a reminder.
  • Bot Response: "Thanks for your message! I've noted your reminder and saved it for future reference."

• Photo with Caption:

  • User sends a photo with the caption "Save this recipe for dinner ideas."
  • Bot Response: "Got it! I've saved this recipe along with the caption for you."

• Text Message for Memory Saving:

  • User: "I love hiking on weekends."
  • Bot Response: "Noted! I’ll remember your interest in hiking."

• Retrieving Information:

  • User asks: "What notes do I have?"
  • Bot Response: "Here are your latest notes: [list of saved notes]."

🛠️ Resources & Next Steps

• Telegram Bot Configuration: Telegram BotFather Guide
• n8n Documentation: n8n Docs
• Community Forums: Join discussions and share your customizations!

This workflow not only streamlines message processing but also empowers users with a personal AI assistant that remembers details over time. Customize the rules and responses further to fit your unique requirements and enjoy a more engaging, intelligent conversation experience on Telegram!