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🐋DeepSeek V3 Chat & R1 Reasoning Quick Start

15 nodes · chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama

Engine
n8n
Nodes
15
Trigger
scheduled/triggered
Source file
1519_HTTP_Stickynote_Automation_Webhook.json

Workflow flow

IntegrationsChatAgentLmChatOpenAiMemoryBufferWindowChainLlmLmChatOllamaHTTP@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindow@n8n/n8n-nodes-langchain.chainLlm+1 more
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

AI Agent

@n8n/n8n-nodes-langchain.agent

DeepSeek

@n8n/n8n-nodes-langchain.lmChatOpenAi

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Ollama DeepSeek

@n8n/n8n-nodes-langchain.lmChatOllama

DeepSeek JSON Body

HTTP

DeepSeek Raw Body

HTTP

Basic LLM Chain2

@n8n/n8n-nodes-langchain.chainLlm

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

Browse by integration

chatagentlmChatOpenAimemoryBufferWindowchainLlmlmChatOllamahttpRequest
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

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start is a free n8n workflow on OpenRuna — 15 nodes connecting chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" is an n8n automation built from 15 nodes spanning chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest. 15 nodes · chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama Execution begins at the scheduled/triggered trigger and flows through the 15 configured nodes. 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

  • 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 15-node flow from scratch.
  • Use it as a starting template when wiring chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest — adjust node parameters to your accounts and record IDs.
  • Import "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" into n8n, reconnect credentials for chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest, and run the same automation in your own workspace.

Example output

Imported into n8n, "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" exposes 15 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest. Open each node after import to map credentials to your own chat and agent 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 "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" into Claude and ask it to explain each of the 15 nodes. Claude is good at suggesting credential mappings for chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" to your accounts — which chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest 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 15 nodes.

Frequently asked questions

How do I import "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" 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 V3 Chat & R1 Reasoning Quick Start" use?
It uses: chat, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest. The flow diagram above shows how each service connects across the 15 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 agent credentials in n8n after import.
What trigger type does "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" 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 V3 Chat & R1 Reasoning Quick Start" 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, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest.

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