πŸ‹πŸ€– DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠

Last edited 9 days ago

This n8n workflow template is designed to integrate a DeepSeek AI agent with Telegram, incorporating long-term memory capabilities for personalized and context-aware responses. Here's a detailed breakdown:


Core Features

Telegram Integration

  • Uses a webhook to receive messages from Telegram users.
  • Validates user identity and message content before processing.

AI-Powered Responses

  • Employs DeepSeek's AI models for conversational interactions.
  • Includes memory capabilities to personalize responses based on past interactions.

Error Handling

  • Sends an error message if the input cannot be processed.

Model Options 🧠

  • DeepSeek-V3 Chat: Handles general conversational tasks.
  • DeepSeek-R1 Reasoning: Provides advanced reasoning capabilities for complex queries.
  • Memory Buffer Window: Maintains session context for ongoing conversations.

Quick Setup πŸ› οΈ

Telegram Webhook Configuration

  1. Set up a webhook using the Telegram Bot API:
    https://api.telegram.org/bot{my_bot_token}/setWebhook?url={url_to_send_updates_to}
    
    Replace {my_bot_token} with your bot's token and {url_to_send_updates_to} with your n8n webhook URL.
  2. Verify the webhook setup using:
    https://api.telegram.org/bot{my_bot_token}/getWebhookInfo
    

DeepSeek API Configuration

  1. Base URL: https://api.deepseek.com
  2. Obtain your API key from the DeepSeek platform.

Implementation Details πŸ”§

User Validation

  • The workflow validates the user's first name, last name, and ID using data from incoming Telegram messages.
  • Only authorized users proceed to the next steps.

Message Routing

  • Routes messages based on their type (text, audio, or image) using a switch node.
  • Ensures appropriate handling for each message format.

AI Agent Interaction

  • Processes text input using DeepSeek-V3 or DeepSeek-R1 models.
  • Customizable system prompts define the AI's behavior and rules, ensuring user-centric and context-aware responses.

Memory Management

  • Retrieves long-term memories stored in Google Docs to enhance personalization.
  • Saves new memories based on user interactions, ensuring continuity across sessions.

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