OpenRuna
Sign in
← Workflows

Telegram AI Langchain bot

12 nodes · lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest

Engine
n8n
Nodes
12
Trigger
scheduled/triggered
Source file
1808_HTTP_Telegram_Automate_Webhook.json

Workflow flow

IntegrationsLmChatOpenAiMemoryBufferWindowTelegramExecuteWorkflowToolWorkflowHTTPAgent@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindowSet@n8n/n8n-nodes-langchain.toolWorkflow@n8n/n8n-nodes-langchain.agent
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

TRIGGER

Execute Workflow Trigger

ExecuteWorkflow

TRIGGER

Listen for incoming events

Telegram

Dall-E 3 Tool

@n8n/n8n-nodes-langchain.toolWorkflow

Generate image in Dall-E 3

HTTP

AI Agent

@n8n/n8n-nodes-langchain.agent

Telegram

Telegram

Send back an image

Telegram

Correct errors

Telegram

add response field

Set

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

Browse by integration

Browse all integrations →

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. 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 Langchain bot (12-node n8n automation, lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, agent) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Telegram AI Langchain bot" automates a lmChatOpenAi-to-memoryBufferWindow flow in n8n across 12 nodes. 12 nodes · lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. 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, executeWorkflow, toolWorkflow, httpRequest, agent — adjust node parameters to your accounts and record IDs.
  • Import "Telegram AI Langchain bot" into n8n, reconnect credentials for lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, agent, and run the same automation in your own workspace.

Example output

Imported into n8n, "Telegram AI Langchain bot" exposes 12 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, 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 AI Langchain bot" into Claude and ask it to explain each of the 12 nodes. Claude is good at suggesting credential mappings for lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, agent, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Telegram AI Langchain bot" to your accounts — which lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, 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 12 nodes.

Frequently asked questions

How do I import "Telegram AI Langchain bot" 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 Langchain bot" use?
It uses: lmChatOpenAi, memoryBufferWindow, telegram, executeWorkflow, toolWorkflow, httpRequest, agent. The flow diagram above shows how each service connects across the 12 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 Langchain bot" 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 Langchain bot" 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, executeWorkflow, toolWorkflow, httpRequest, agent.

Related resources