How do I import "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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 "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" use?

It uses: chat, lmChatOllama, agent, memoryBufferWindow. The flow diagram above shows how each service connects across the 16 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 lmChatOllama credentials in n8n after import.

What trigger type does "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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 "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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, lmChatOllama, agent, memoryBufferWindow.

← Workflows

🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router

16 nodes · chat, lmChatOllama, agent, memoryBufferWindow

Engine: n8n
Nodes: 16
Trigger: scheduled/triggered
Source file: 1557_Stickynote_Automation_Triggered.json

Workflow flow

IntegrationsChatLmChatOllamaAgentMemoryBufferWindow@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.lmChatOllama@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.memoryBufferWindow

100%

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Ollama Dynamic LLM

@n8n/n8n-nodes-langchain.lmChatOllama

Ollama phi4

@n8n/n8n-nodes-langchain.lmChatOllama

Router Chat Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Agent Chat Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

LLM Router

@n8n/n8n-nodes-langchain.agent

AI Agent with Dynamic LLM

@n8n/n8n-nodes-langchain.agent

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

Browse by integration

chat lmChatOllama agent memoryBufferWindow

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

🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router (16-node n8n automation, chat, lmChatOllama, agent, memoryBufferWindow) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" automates a chat-to-lmChatOllama flow in n8n across 16 nodes. 16 nodes · chat, lmChatOllama, agent, memoryBufferWindow 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 16-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 lmChatOllama before building your own variant.

Example output

Imported into n8n, "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, lmChatOllama, agent, memoryBufferWindow. Open each node after import to map credentials to your own chat and lmChatOllama 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 "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" into Claude and ask it to explain each of the 16 nodes. Claude is good at suggesting credential mappings for chat, lmChatOllama, agent, memoryBufferWindow, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" to your accounts — which chat, lmChatOllama, agent, memoryBufferWindow 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 16 nodes.

Frequently asked questions

How do I import "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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 "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" use?: It uses: chat, lmChatOllama, agent, memoryBufferWindow. The flow diagram above shows how each service connects across the 16 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 lmChatOllama credentials in n8n after import.
What trigger type does "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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 "🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router" 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, lmChatOllama, agent, memoryBufferWindow.