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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
2043_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

Built in n8n, "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" chains 15 nodes to move data between 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. 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 15-node flow from scratch.
  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Study how data moves from chat to agent before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the chat stack.

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. 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 "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" 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, agent, lmChatOpenAi, memoryBufferWindow, chainLlm, lmChatOllama, httpRequest. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "🐋DeepSeek V3 Chat & R1 Reasoning Quick Start" — extract chat IDs and secrets into environment variables without changing the 15-node structure.

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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