How do I import "Telegram AI multi-format chatbot" 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 AI multi-format chatbot" use?

It uses: lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch. The flow diagram above shows how each service connects across the 15 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 AI multi-format chatbot" 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 AI multi-format chatbot" 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, openAi, agent, switch.

← Workflows

Telegram AI multi-format chatbot

15 nodes · lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch

Engine: n8n
Nodes: 15
Trigger: scheduled/triggered
Source file: 1485_Telegram_Stickynote_Automate_Triggered.json

Workflow flow

IntegrationsLmChatOpenAiMemoryBufferWindow

OpenAIAgentSwitch@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindowSet@n8n/n8n-nodes-langchain.openAi@n8n/n8n-nodes-langchain.agent

100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

TRIGGER

Listen for incoming events

Send Typing action

Determine content type

Switch

Download voice file

Send error message

Convert audio to text

@n8n/n8n-nodes-langchain.openAi

Combine content and set properties

Set

AI Agent

@n8n/n8n-nodes-langchain.agent

Send final reply

Correct errors

12 steps · flows top to bottom, branches left to right

Browse by integration

lmChatOpenAi memoryBufferWindow telegram openAi agent switch

Browse all integrations →

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 AI multi-format chatbot is a free n8n workflow on OpenRuna — 15 nodes connecting lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

This n8n workflow, "Telegram AI multi-format chatbot", wires together lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch in 15 nodes. 15 nodes · lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Fork it to add error handling, retries, or a notification step without designing the 15-node flow from scratch.
Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
Import "Telegram AI multi-format chatbot" into n8n, reconnect credentials for lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch, and run the same automation in your own workspace.
Use it as a starting template when wiring lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Telegram AI multi-format chatbot" exposes 15 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch. Set your credentials on the lmChatOpenAi node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Telegram AI multi-format chatbot" JSON into a plain-English runbook, node by node. It can flag where lmChatOpenAi rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Telegram AI multi-format chatbot" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 15-node structure.

Frequently asked questions

How do I import "Telegram AI multi-format chatbot" 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 AI multi-format chatbot" use?: It uses: lmChatOpenAi, memoryBufferWindow, telegram, openAi, agent, switch. The flow diagram above shows how each service connects across the 15 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 AI multi-format chatbot" 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 AI multi-format chatbot" 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, openAi, agent, switch.