How do I import "Telegram ChatBot with multiple sessions" into n8n?

Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.

Which integrations does "Telegram ChatBot with multiple sessions" use?

It uses: lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent. The flow diagram above shows how each service connects across the 38 nodes. Filter OpenRuna by integration to find related workflows and tools.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatOpenAi and memoryBufferWindow credentials in n8n after import.

What trigger type does "Telegram ChatBot with multiple sessions" use?

Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.

Is "Telegram ChatBot with multiple sessions" free to use?

OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent.

← Workflows

Telegram ChatBot with multiple sessions

38 nodes · lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization

Engine: n8n
Nodes: 38
Trigger: scheduled/triggered
Source file: 1244_Telegram_GoogleSheets_Automate_Triggered.json

Workflow flow

IntegrationsLmChatOpenAiMemoryBufferWindow

TelegramSwitch

Google SheetsChainSummarizationChainLlmAgent@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindow@n8n/n8n-nodes-langchain.chainSummarization@n8n/n8n-nodes-langchain.chainLlm+4 more

Integration path in execution order (sticky notes and duplicate steps omitted)

@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindow

TelegramSwitch

Google Sheets@n8n/n8n-nodes-langchain.chainSummarization@n8n/n8n-nodes-langchain.chainLlmSetIFCode@n8n/n8n-nodes-langchain.agent

31 steps · use Full diagram for every node

Browse by integration

lmChatOpenAi memoryBufferWindow telegram switch googleSheets chainSummarization chainLlm agent

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Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Telegram ChatBot with multiple sessions is a free n8n workflow on OpenRuna — 38 nodes connecting lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"Telegram ChatBot with multiple sessions" automates a lmChatOpenAi-to-memoryBufferWindow flow in n8n across 38 nodes. 38 nodes · lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.
Study how data moves from lmChatOpenAi to memoryBufferWindow before building your own variant.
Use it as a starting template when wiring lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent — adjust node parameters to your accounts and record IDs.
Import "Telegram ChatBot with multiple sessions" into n8n, reconnect credentials for lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent, and run the same automation in your own workspace.

Example output

Imported into n8n, "Telegram ChatBot with multiple sessions" exposes 38 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent. Open each node after import to map credentials to your own lmChatOpenAi and memoryBufferWindow accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Telegram ChatBot with multiple sessions" into Claude and ask it to explain each of the 38 nodes. Claude is good at suggesting credential mappings for lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Telegram ChatBot with multiple sessions" to your accounts — which lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 38 nodes.

Frequently asked questions

How do I import "Telegram ChatBot with multiple sessions" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Telegram ChatBot with multiple sessions" use?: It uses: lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent. The flow diagram above shows how each service connects across the 38 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatOpenAi and memoryBufferWindow credentials in n8n after import.
What trigger type does "Telegram ChatBot with multiple sessions" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Telegram ChatBot with multiple sessions" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatOpenAi, memoryBufferWindow, telegram, switch, googleSheets, chainSummarization, chainLlm, agent.