Does MultiAgentOS run on Windows 10 and Windows 11?

Yes. MultiAgentOS is a native Avalonia desktop app that runs on Windows 10 and Windows 11. It is not a browser tab or an Electron wrapper.

Does the Windows AI agent require a cloud account?

No. You can use local servers (Ollama, LM Studio, llama.cpp) and local GGUF models entirely on-device. Hosted providers are optional for tasks where you choose to use them.

Can the Windows AI agent use PowerShell?

Yes. Terminal and command workflows are part of the desktop agent surface, with user-facing approval gates and review points. You can wire PowerShell scripts as Terminal-template tools the agent can call.

What are the Windows on-demand tool packs?

MultiAgentOS includes 5 Windows-specific tool packs that load on demand: system state, developer runtimes, containers, networking, and package managers. The agent only sees the packs you enable in the current workspace.

Does it support an Nvidia or AMD GPU for local models?

MultiAgentOS itself is the agent shell. GPU usage is handled by your local model runtime (Ollama, LM Studio, llama.cpp), which support common GPUs on Windows. Pick a runtime that supports your hardware.

Use case · Windows 10 & 11

A Windows AI agent for local models, files, PowerShell, and desktop tasks.

MultiAgentOS is a native Avalonia AI agent for Windows 10 and Windows 11 that connects to local LLMs, API providers, PowerShell, terminal commands, MCP servers, file context, screenshots, and supervised desktop actions — all in one visible workspace. No browser tab, no Electron wrapper, no cloud account required.

Start trial - $79 Local model guide

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 Ask
2 Route model
3 Open sidecar
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.

Works with Windows workflows

Use Explorer folders, PowerShell, terminals, browser sessions, screenshots, and app context from one desktop AI surface.

Bring your own model

Connect local servers, Ollama, GGUF workflows, or hosted API providers depending on the job. Six connection modes, one shell.

Built for supervision

The agent runs in a visible interface with stop controls and approval gates, not an invisible background process.

Why Windows users search for a native desktop AI agent

A useful Windows AI agent needs to live close to Explorer, PowerShell, terminals, browser sessions, local model servers, and app screenshots. Browser-based chat tools split that context across tabs. MultiAgentOS keeps it inside a single Avalonia window: model route, prompt bar, sidecars, tools, files, and history all visible at once.

Common Windows AI agent workflows

Local model setup. Connect Ollama or LM Studio on Windows, test the selected model, then enable tools.
PowerShell agent tasks. Wire PowerShell scripts as Terminal-template tools the agent can call with approval gates.
File & folder Q&A. Attach Explorer folders, ask questions across the contents, and route the heavy lifting to a local model.
Browser automation in-app. Drive a contained browser session for research without losing your real browser state.
Subagent delegation. Hand bounded jobs to supervised subagents with turn budgets and tool category limits.
Screenshot-driven debugging. Drop a screenshot of an error, let the agent read it, then look it up via MCP search.

Five Windows-specific tool packs

MultiAgentOS includes Windows on-demand tool categories. They load only when the workspace needs them, so the agent stays focused.

System state — services, processes, Windows version, disk and memory health.
Developer runtimes — Node, Python, Go, .NET, Rust toolchain presence and versions.
Containers — Docker Desktop and WSL2 status, image and container inspection.
Networking — IP, DNS, ports, certificates, common diagnostics.
Package managers — Winget, Chocolatey, Scoop discovery and version checks.

Windows AI agent setup checklist

Pick the model route

Local server, API key provider, CLI pipe, OAuth, Terminal, or Local AI workflow. Choose per task instead of locking in one.

Attach the right context

Use files, folders, screenshots, and prompt history before opening tool surfaces. More context upfront usually means fewer risky actions later.

Keep review visible

Use sidecars for code, terminal, settings, and subagents so every step remains reviewable inside the same Windows app frame.

System requirements

Windows 10 (build 19041+) or Windows 11
16 GB RAM minimum for comfortable local model use (32 GB recommended for 13B+ models)
10-30 GB free disk space per local model
Optional: Nvidia or AMD GPU for faster local inference (handled by your local runtime)

Windows AI agent FAQ

Does MultiAgentOS require a cloud account?

No. You can use local servers and local AI routes entirely offline. Hosted providers are optional for tasks where you choose to use them.

Can it use PowerShell or command tools?

Yes. Terminal and command workflows are part of the desktop agent surface, with user-facing approval and review points.

Does it work with Windows Defender / antivirus?

Yes. MultiAgentOS installs like a normal desktop app. Local model servers (Ollama, LM Studio) install separately and have their own posture.

Is there a Windows installer?

Yes. After purchase, you download the Windows installer for the version you bought.