🐋🤖 DeepSeek AI agent + Telegram + LONG TERM memory 🧠

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 🛠️ Telegram Webhook Configuration 1. Set up a webhook using the Telegram Bot API: Replace {mybottoken} with your bot's token and {urltosendupdatesto} with your n8n webhook URL. 2. Verify the webhook setup using: DeepSeek API Configuration 1. Base URL: 2. Obtain your API key from the DeepSeek platform. --- Implementation Details 🔧 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.