How do I import "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" use?

It uses: telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. The flow diagram above shows how each service connects across the 23 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 telegram and webhook credentials in n8n after import.

What trigger type does "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs.

← Workflows

🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠

23 nodes · telegram, webhook, switch, agent, memoryBufferWindow, chat

Engine: n8n
Nodes: 23
Trigger: scheduled/triggered
Source file: 1975_Telegram_Googledocs_Automation_Webhook.json

Workflow flow

Integrations

TelegramWebhookSwitchAgentMemoryBufferWindowChatGoogleDocsToolGoogleDocsLmChatOpenAiIFSet@n8n/n8n-nodes-langchain.agent+4 more

100%

TRIGGER

Listen for Telegram Events

Webhook

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Save Long Term Memories

GoogleDocsTool

DeepSeek-R1 Reasoning

@n8n/n8n-nodes-langchain.lmChatOpenAi

DeepSeek-V3 Chat

@n8n/n8n-nodes-langchain.lmChatOpenAi

Validation

Set

Check User & Chat ID

Message Router

Switch

Error message

Retrieve Long Term Memories

GoogleDocs

Merge

AI Agent

@n8n/n8n-nodes-langchain.agent

Telegram Response

Response Error message

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

Browse by integration

telegram webhook switch agent memoryBufferWindow chat googleDocsTool googleDocs lmChatOpenAi

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

🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠 is a free n8n workflow on OpenRuna — 23 nodes connecting telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" is an n8n automation built from 23 nodes spanning telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. 23 nodes · telegram, webhook, switch, agent, memoryBufferWindow, chat Execution begins at the scheduled/triggered trigger and flows through the 23 configured nodes. 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 telegram integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 23-node flow from scratch.
Use it as a starting template when wiring telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs — adjust node parameters to your accounts and record IDs.
Import "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" into n8n, reconnect credentials for telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs, and run the same automation in your own workspace.

Example output

Imported into n8n, "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" exposes 23 configured nodes. Trigger type: scheduled/triggered. Integrations: telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. Reconnect the telegram credential first, then walk the remaining nodes top to bottom. 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 "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" into Claude and ask it to explain each of the 23 nodes. Claude is good at suggesting credential mappings for telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" to your accounts — which telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs 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 23 nodes.

Frequently asked questions

How do I import "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" use?: It uses: telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. The flow diagram above shows how each service connects across the 23 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 telegram and webhook credentials in n8n after import.
What trigger type does "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 "🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠" 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 telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs.