OpenRuna
Sign in
โ† Workflows

๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram

21 nodes ยท chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram

Engine
n8n
Nodes
21
Trigger
scheduled/triggered
Source file
2053_Telegram_Googledocs_Automate_Triggered.json

Workflow flow

IntegrationsChatLmChatOpenAiMemoryBufferWindowGoogleDocsToolGoogleDocsTelegramAgentAggregate@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.lmChatOpenAiSet@n8n/n8n-nodes-langchain.memoryBufferWindow+2 more
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

gpt-4o-mini

@n8n/n8n-nodes-langchain.lmChatOpenAi

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Save Long Term Memories

GoogleDocsTool

DeepSeek-V3 Chat

@n8n/n8n-nodes-langchain.lmChatOpenAi

Save Notes

GoogleDocsTool

Retrieve Long Term Memories

GoogleDocs

Retrieve Notes

GoogleDocs

Merge

Merge

Aggregate

Aggregate

AI Tools Agent

@n8n/n8n-nodes-langchain.agent

Chat Response

Set

Telegram Response

Telegram

13 steps ยท flows top to bottom, branches left to right

Browse by integration

Browse all integrations โ†’

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows โ†’ 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 โ€” safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus โ†—

Overview

๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram (21-node n8n automation, chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate) is free on OpenRuna โ€” view the graph and export the JSON to import into n8n.

What this workflow does

This n8n workflow, "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram", wires together chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate in 21 nodes. 21 nodes ยท chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram 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

  • Fork it to add error handling, retries, or a notification step without designing the 21-node flow from scratch.
  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Import "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" into n8n, reconnect credentials for chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate, and run the same automation in your own workspace.
  • Use it as a starting template when wiring chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate โ€” adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" exposes 21 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate. Set your credentials on the chat 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 "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" JSON into a plain-English runbook, node by node. It can flag where chat 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 chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" โ€” extract chat IDs and secrets into environment variables without changing the 21-node structure.

Frequently asked questions

How do I import "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows โ†’ Import from file and select the downloaded file. Reconnect credentials on each node โ€” the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" use?
It uses: chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate. The flow diagram above shows how each service connects across the 21 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 chat and lmChatOpenAi credentials in n8n after import.
What trigger type does "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" 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 "๐Ÿค–๐Ÿง  AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" 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 chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate.

Related resources