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🔐🦙Private & Local Ollama Self-Hosted + Dynamic LLM Router

by Joseph LePageadapted from n8n official workflow galleryUpdated Aug 2026
RequiresAAI AgentOllama Chat ModelOllama Chat ModelSSimple Memory
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ChWhen chat message receivedWhen chat messa…Ollama Dynamic LLMOllama Dynamic …AgLLM RouterAgAI Agent with Dynamic LLMAI Agent with D…Ollama phi4MBRouter Chat MemoryRouter Chat Mem…MBAgent Chat MemoryAgent Chat Memo…123456
1/5
STEPS · 6
Starts from a chat message

Who is this for? This workflow template is designed for AI enthusiasts, developers, and privacy-conscious users who want to leverage the power of local large language models (LLMs) without sending data to external services. It's particularly valuable for those running Ollama locally who want intelligent routing between different specialized models. What problem is this workflow solving? When working with multiple local LLMs, each with different strengths and capabilities, it can be challenging to manually select the right model for each specific task. This workflow automatically analyzes user prompts and routes them to the most appropriate specialized Ollama model, ensuring optimal performance without requiring technical knowledge from the end user.

Tags

n8nreference-onlyagentlm-chat-ollamamemory-buffer-window
Connects
AAI AgentollamachatmodelOllama Chat ModelSSimple Memory
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes7
AddedMar 12, 2025

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