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🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram

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

Engine
n8n
Nodes
21
Trigger
scheduled/triggered
Source file
1610_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 · flows top to bottom, branches left to right

Browse by integration

chatlmChatOpenAimemoryBufferWindowgoogleDocsToolgoogleDocstelegramagentaggregate
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

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

🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram is a free n8n workflow on OpenRuna — 21 nodes connecting chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" automates a chat-to-lmChatOpenAi flow in n8n across 21 nodes. 21 nodes · chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram It starts from a scheduled/triggered trigger and routes data through every node in order. 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

  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 21-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the chat stack.
  • Study how data moves from chat to lmChatOpenAi before building your own variant.

Example output

Imported into n8n, "🤖🧠 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

Paste the exported JSON for "🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" into Claude and ask it to explain each of the 21 nodes. Claude is good at suggesting credential mappings for chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" to your accounts — which chat, lmChatOpenAi, memoryBufferWindow, googleDocsTool, googleDocs, telegram, agent, aggregate 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 21 nodes.

Frequently asked questions

How do I import "🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram" 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 "🤖🧠 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 "🤖🧠 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 "🤖🧠 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.

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