Telegram DeepSeek AI Agent with Long-Term Memory
detail.loadingPreview
Integrates DeepSeek AI Agent with Telegram to provide conversational AI with long-term memory capabilities.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This workflow enables a Telegram bot powered by the DeepSeek AI Agent to maintain long-term memory of user interactions. It receives messages via webhook, checks user authentication, and routes messages to the AI agent. The AI agent is configured with specific system messages and rules to manage memory, ensuring personalized and contextually relevant responses.
Key Features
- Receives Telegram messages via webhook.
- Validates user identity (first name, last name, ID).
- Routes different message types (text, voice, photo).
- Utilizes DeepSeek AI Agent for conversational responses.
- Implements long-term memory management for personalized interactions.
How To Use
- Set up a Telegram bot using BotFather and obtain the API token.
- Configure the
Listen for Telegram Eventswebhook node with your bot's token and a public URL. - Set up the necessary credentials for the Telegram API in n8n.
- Configure the AI Agent node with your DeepSeek API key and desired system message and rules.
- Adjust the
Check User & Chat IDandValidationnodes if specific user validation is required. - Deploy the workflow and test by sending messages to your Telegram bot.
Apps Used
Workflow JSON
{
"id": "6fa6d1bd-6a62-4416-adf3-f5fe9c8041a0",
"name": "Telegram DeepSeek AI Agent with Long-Term Memory",
"nodes": 0,
"category": "AI & Machine Learning",
"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: 6fa6d1bd-6a62...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
Statistics
Verification Info
Related Integrations
- Telegram + Telegram Trigger(362 workflows)
- Gmail + Schedule Trigger(270 workflows)
- Gmail + Google Sheets(245 workflows)
- Schedule Trigger + Telegram(152 workflows)
- Gmail + Split Out(132 workflows)
- Gmail + Gmail Trigger(119 workflows)
- Google Sheets + Telegram(118 workflows)
- Form Trigger + Gmail(107 workflows)
- Gmail + Google Drive(93 workflows)
- Airtable + Schedule Trigger(86 workflows)
Related Workflows
Discover more workflows you might like
Create an AI-Powered Telegram Bot with Langchain and DALL-E 3
Build a sophisticated Telegram bot using n8n, integrating Langchain for AI conversation and DALL-E 3 for image generation. This workflow allows for dynamic chat interactions and creative image creation directly through Telegram.
Telegram AI Langchain Bot with DALL-E 3 Image Generation
An n8n workflow that acts as a Telegram bot, powered by Langchain, for AI chat interactions and image generation using DALL-E 3.
Telegram AI Chatbot with Long-Term Memory and Note Storage
Build a sophisticated Telegram chatbot powered by AI, capable of maintaining long-term memory and storing notes using Google Docs. This workflow leverages Langchain and n8n nodes to create an intelligent conversational agent.
Automated Car Insurance Quote Generator with AI and Vector Store
This n8n workflow generates car insurance quotes using an AI agent. It leverages LangChain nodes like Webhook, Text Splitter, Embeddings, and Vector Store (Pinecone) to process and retrieve relevant information, then logs the results to a Google Sheet.
Build a Conversational AI Agent with LangChain, Tools, and Memory in n8n
This workflow demonstrates how to create an intelligent AI agent using LangChain in n8n. It leverages an OpenAI model, buffer memory for conversation history, and external tools like Wikipedia and SerpAPI for enhanced responses. The 'On new manual Chat Message' node initiates the agent's interaction.
n8n SQL Agent with Window Buffer Memory and OpenAI
Leverage n8n's LangChain integration to build a SQL agent with memory. This workflow uses OpenAI, a window buffer memory, and a local SQLite database to enable conversational querying.