AI-Powered Telegram Bot with Image Generation and Chat Memory

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This n8n workflow creates an intelligent Telegram bot that interacts with users using advanced AI models. When a user sends a message, the workflow responds contextually by leveraging GPT-4, remembers the conversation using window buffer memory, and can generate images upon request using DALL-E 3. The bot can send text replies and images back to users via Telegram, providing a seamless interactive experience.

The process begins with the Telegram trigger listening for incoming messages. The message is processed by an AI agent that utilizes OpenAI’s GPT-4 for natural language understanding and response generation. The workflow maintains conversation context with a Buffer Memory node to ensure relevant and coherent replies. If the user requests an image, the bot calls DALL-E 3 through an API request, generates the image, and sends it back to the user as a document. The final response — either text or image — is sent back to the user through Telegram.

This setup is ideal for developing AI-powered customer support, interactive chatbots, or creative assistants that need to remember context and generate images dynamically, all within Telegram.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, stickyNote, telegram, telegramTool, telegramTrigger

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