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Setup guides

Build a local AI agent stack one clean step at a time.

These tutorials cover the pieces users ask for first: Ollama, OpenAI API keys, local GGUF models, MCP tools, and desktop automation in MultiAgentOS.

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Product demo

See the full desktop agent workspace.

Full-frame MultiAgentOS screenshots from the current Avalonia shell: sidebar, workspace cards, prompt controls, model routing, and sidecars together.

  1. 1 Ask
  2. 2 Route model
  3. 3 Open sidecar
  4. 4 Review action
Full-frame MultiAgentOS Avalonia shell showing the sidebar, workspace cards, prompt toolbar, and connection controls.
Full-frame screenshot from the current MultiAgentOS app.
Code sidecar screenshot in MultiAgentOS.
Code sidecar Edit files in the right-side code pane while the full app shell remains visible.
Subagents sidecar screenshot in MultiAgentOS.
Subagents sidecar Launch bounded delegated work with tool categories, turn budget, and protocol reference visible.
Terminal sidecar screenshot in MultiAgentOS.
Terminal sidecar Run shell workflows from the terminal pane without leaving the app frame.

Set up Ollama for local AI agents

Install Ollama, pull a model, confirm the local server, and connect it to MultiAgentOS.

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Add an OpenAI API key safely

Create a project key, store it securely, and route selected workflows to OpenAI models.

Read guide

Choose local GGUF models

Understand quantization, memory, context, and test prompts before trusting a model in an agent.

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Connect MCP tools

Use MCP servers to expose controlled tools to your desktop AI agent.

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Desktop automation setup

Prepare permissions, visible status, stop controls, and scoped actions for safe desktop operations.

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Long-form Ollama walkthrough

Read the deeper blog version of a local agent setup with Ollama.

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