@n8n/n8n-nodes-langchain.agent

AI Telegram Assistant with Contextual Memory via Supabase

AI Agent
Complex Trigger

This n8n workflow powers an intelligent Telegram chatbot capable of maintaining conversational context. It activates upon receiving new messages on Telegram, extracting the user's input. The core intelligence is driven by a Langchain AI Agent, utilizing OpenAI's language models to process user queries and formulate relevant responses. A key feature is its persistent memory management, employing Supabase to load and save chat history. This enables the AI to recall previous interactions, ensuring more coherent and context-aware replies. The workflow intelligently handles both new and ongoing conversations, providing a seamless and personalized user experience directly within Telegram, with the AI's generated response sent back to the user.

10
Nodes
8
Services
2
Categories
Complex
Type

Leverage n8n's AI-powered automation to deploy a context-aware Telegram assistant that remembers conversations, boosting engagement and productivity with personalized, intelligent responses.

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Free n8n workflow template ready to import

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📄 File Details

0800_Aggregate_Telegram_Automate_Triggered.json
Aggregate
09/04/2025
Ready to Import

Just upload and configure

🔧
Production Ready

Tested and optimized

📚
Documentation

Complete setup guide

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Services & Integrations

Sticky Note
AI Agent
LLM Chain
Memory Buffer
Telegram Trigger
Google Sheets
Aggregate
Telegram
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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows → Import and select the JSON file.

3

Configure Credentials

Set up your AI Agent and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#aggregate
#sticky-note
#@n8n/n8n-nodes-langchain.agent
#@n8n/n8n-nodes-langchain.lm-chat-open-ai
#complex
#aggregate
#workflow-automation
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