Agent: Ollama

Purpose

• local inference
• offline usage
• lightweight analysis
• local model experimentation

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When to Use

• offline environment
• low-cost local inference
• local log summary
• simple repeated analysis

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Model Options

Model	Strength	Typical Use
llama3.2	general reasoning	summary, general analysis
mistral	fast response	quick log check
codellama	code-oriented	simple code draft
deepseek-r1	deeper reasoning	more complex local analysis

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Configuration

{
  "agent": "ollama",
  "model": "llama3.2",
  "base_url": "http://localhost:11434",
  "temperature": 0.7,
  "stream": false
}

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Setup

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Windows

irm https://ollama.com/install.ps1 | iex

or

winget install Ollama.Ollama

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Linux / macOS

curl -fsSL https://ollama.com/install.sh | sh

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Pull Model

ollama pull llama3.2
ollama list

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Verify API

curl http://localhost:11434/api/tags

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MCP Notes

• local runtime required
• Ollama should be running before MCP server usage
• suitable for local tool support and lightweight analysis

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Notes

• strong fit for Local AI role
• better fit for support analysis than complex architecture planning
• WSL2 can access localhost:11434

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