๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง
23 nodes ยท telegram, webhook, switch, agent, memoryBufferWindow, chat
- Engine
- n8n
- Nodes
- 23
- Trigger
- scheduled/triggered
- Source file
- 2044_Telegram_Googledocs_Automation_Webhook.json
Workflow flow
Listen for Telegram Events
Webhook
Window Buffer Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
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
IF
Message Router
Switch
Error message
Telegram
Retrieve Long Term Memories
GoogleDocs
Merge
Merge
AI Agent
@n8n/n8n-nodes-langchain.agent
Telegram Response
Telegram
Response Error message
Telegram
15 steps ยท flows top to bottom, branches left to right
Browse by integration
Browse all integrations โImport into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows โ Import from file.
- Open each node and reconnect credentials to your accounts.
- 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.
Overview
๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง is a free n8n workflow on OpenRuna โ 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
Built in n8n, "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " chains 23 nodes to move data between telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. 23 nodes ยท telegram, webhook, switch, agent, memoryBufferWindow, chat 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
- Fork it to add error handling, retries, or a notification step without designing the 23-node flow from scratch.
- Benchmark it against your current telegram integration to spot missing steps or redundant nodes.
- Study how data moves from telegram to webhook before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the telegram stack.
Example output
Imported into n8n, "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " exposes 23 configured nodes. Trigger type: scheduled/triggered. Integrations: telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. Open each node after import to map credentials to your own telegram and webhook accounts. 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 "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " JSON into a plain-English runbook, node by node. It can flag where telegram 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 telegram, webhook, switch, agent, memoryBufferWindow, chat, googleDocsTool, googleDocs. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " โ extract telegram IDs and secrets into environment variables without changing the 23-node structure.
Frequently asked questions
- How do I import "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " 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 "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " 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 "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " 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 "๐๐ค DeepSeek AI Agent + Telegram + LONG TERM Memory ๐ง " 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.
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