Voice & text Telegram assistant with GPT-4.1-mini and conversation memory

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Personal AI Assistant on Telegram Who It’s For: This workflow is designed for developers, founders, community managers, and automation enthusiasts who want to bring a personal AI assistant directly...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Balakrishnan C.

Original n8n.io source

1.1 Workflow description

Title: Voice & text Telegram assistant with GPT-4.1-mini and conversation memory
Workflow name: Voice & text Telegram assistant with GPT-4.1-mini and conversation memory

Personal AI Assistant on Telegram

Who It’s For:

This workflow is designed for developers, founders, community managers, and automation enthusiasts who want to bring a personal AI assistant directly into their Telegram chat.
It lets users interact naturally—either through text or voice messages—and get instant, AI-powered replies without switching apps or opening dashboards.

⚡ What It Does / How It Works

📥 Message Trigger: A Telegram Trigger node listens for incoming messages. 🧭 Smart Routing: A Switch node decides if the user sent a text or voice message. 🗣️ Voice to Text: If it’s voice, the workflow uses OpenAI Whisper Transcription to convert it into text. 🧠 AI Processing: The text is passed to an AI Agent powered by GPT-4.1-mini to understand intent and craft a response. 💬 Reply: The bot sends a clean, structured, and polite answer back to the user on Telegram. 🧠 Memory: A buffer memory node keeps short-term conversation history for a more contextual, human-like experience.

🧰 How to Set It Up:

Telegram Integration

Create a bot via @BotFather on Telegram.
https://telegram.me/BotFather
Add your Telegram API Key to n8n credentials.
Connect the Telegram Trigger and Send a Message nodes.

OpenAI Setup

Get your API key from platform.openai.com.
https://platform.openai.com/api-keys
Configure the OpenAI Chat Model and Transcribe a Recording nodes with GPT-4.1-mini.

Workflow Logic

Use the Switch node to detect message type (text or voice).
Route voice messages through transcription before sending them to the AI agent.
Add Simple Memory to maintain short conversational context.

Go Live

Activate the workflow.
Send a message or voice note to your bot.
Get instant replies from your personal AI assistant. 🚀

🛡️ Requirements:

n8n (self-hosted or cloud)
Telegram Bot API key
OpenAI API key (for GPT-4.1-mini)
Basic understanding of n8n nodes and connections

🌟 Why Use This Workflow:

✅ Hands-free experience: Just talk or type. 🧠 AI-powered responses: Natural language understanding with GPT. ⚡ Real-time interaction: Fast replies via Telegram. 🔁 Memory-aware conversations: Feels more human. 🧩 Modular design: Easily extend to other AI tools or platforms.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 4 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Send a text message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 6 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 7 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 8 - Get a file

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 9 - Transcribe a recording

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 10 - Edit Fields1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 11 - Sticky Note12

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note15

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note16

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note17

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note13

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note18

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note14

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Voice & text Telegram assistant with GPT-4.1-mini and conversation memory
Complexity	advanced
Nodes	18
Categories	Personal Productivity, AI Chatbot
Author	Balakrishnan C
Published	21 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9981/9981.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Voice & text Telegram assistant with GPT-4.1-mini and conversation memory do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.

Balakrishnan C

1 workflow

Nodes

n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.set n8n-nodes-base.telegram @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.switch @n8n/n8n-nodes-langchain.openai

Complexity

advanced

Published 21 Oct 2025

Likes 0

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Install path: /data/workflows/9981/9981.json

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Voice & text Telegram assistant with GPT-4.1-mini and conversation memory

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Personal AI Assistant on Telegram

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - AI Agent

Block 3 - OpenAI Chat Model

Block 4 - Edit Fields

Block 5 - Send a text message

Block 6 - Simple Memory

Block 7 - Switch

Block 8 - Get a file

Block 9 - Transcribe a recording

Block 10 - Edit Fields1

Block 11 - Sticky Note12

Block 12 - Sticky Note

Block 13 - Sticky Note15

Block 14 - Sticky Note16

Block 15 - Sticky Note17

Block 16 - Sticky Note13

Block 17 - Sticky Note18

Block 18 - Sticky Note14

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions