Does MultiAgentOS run natively on Apple Silicon?

Yes. MultiAgentOS is a native Avalonia desktop app that runs on macOS 14 (Sonoma) and later on Apple Silicon and Intel Macs. Local models run via Ollama, LM Studio, or llama.cpp, all of which use Apple Silicon's unified memory effectively.

Can I use local LLMs on Mac with MultiAgentOS?

Yes. Connect Ollama, LM Studio, or any local OpenAI-compatible server via the Local Server connection, or load GGUF models directly via Local AI. Apple Silicon unified memory means even modest Macs can run 7B-13B models locally.

Is MultiAgentOS only for coding on Mac?

No. Coding is one workflow. The same desktop agent shape works for research, writing, notes, analysis, browser automation, and file organisation. The agent reads files, screenshots, and folder context, not just code.

Does it support voice input on Mac?

Yes. Voice dictation is part of the prompt surface, so you can talk to the agent without leaving your work.

How much RAM do I need on a Mac?

8 GB works for light cloud-API use. 16 GB lets you run 7B-8B local models comfortably. 32 GB or 64 GB opens 13B and 30B-class models thanks to unified memory.

Use case · macOS 14+

A Mac AI agent for local-first desktop workflows on Apple Silicon.

MultiAgentOS brings local models, hosted APIs, screenshots, files, voice input, MCP servers, and supervised desktop actions into a native Mac-friendly AI surface — designed to take advantage of Apple Silicon's unified memory for fast local inference.

See Mac features MCP tools 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.

Native desktop shape

A full Avalonia app shell stays close to the work instead of living only in a browser tab.

Local and hosted models

Route private tasks to local models on Apple Silicon and use API providers when a stronger model is worth it.

Context-rich agent work

Use screenshots, files, folders, voice input, MCP tools, and command workflows in one interface.

What a Mac AI agent should actually do

Mac users want AI close to local files, notes, browser research, design artifacts, and developer tools without turning every task into a cloud upload. MultiAgentOS is a Mac-friendly desktop AI workspace: local-first by default, flexible about model providers, and built around visible sidecars rather than invisible background automation.

Apple Silicon makes this practical. Unified memory means a 16 GB M-series Mac can comfortably run 7B-8B local models. 32 GB Macs handle 13B with ease. 64 GB and 96 GB Macs run 30B+ models — and MultiAgentOS uses them as first-class connections.

Mac workflow examples

Private writing & research. Local model summarises web pages, notes, or imported PDFs without leaving the machine.
Screenshot reasoning. Drop a screenshot of a Finder window or app and ask the agent to read and act on it.
Folder Q&A. Point the agent at a project folder, ask questions across files, with local model doing the heavy lifting.
Routed escalation. Send the hardest step of a workflow to OpenAI, Anthropic, or DeepSeek; keep the rest local.
Voice prompting. Dictate prompts and let the agent transcribe and act.
Bounded subagents. Hand long jobs to supervised subagents with turn budgets and tool category limits.

Mac AI agent evaluation checklist

Privacy posture. Look for a local-first architecture and explicit provider routing so you know when a task leaves the machine.
Desktop context. The agent should read local files, screenshots, and active workflow context, not just a pasted chat transcript.
Tool control. Command tools, MCP servers, and sidecars should be scoped to the task and easy to stop or review.
Apple Silicon support. Local model runtimes should use Metal acceleration where available, not fall back to CPU-only inference.
Pricing model. A one-time license avoids the subscription compounding most cloud AI tools impose.

System requirements

macOS 14+

Sonoma and later, on Apple Silicon (M1/M2/M3/M4) or Intel Macs.

16 GB unified memory

Comfortable for 7B-8B local models. 32 GB recommended for 13B+ work.

10-30 GB free disk

Per local model. Cloud-only usage needs only the app's own footprint.

Mac AI agent FAQ

Can I use local LLMs on Mac?

Yes. MultiAgentOS connects to Ollama, LM Studio, llama.cpp, and direct GGUF files. All run well on Apple Silicon.

Is this only for coding?

No. Coding is one workflow; the desktop agent shape applies equally to research, writing, notes, analysis, browser tasks, and file work.

Does it use MLX or Metal?

MultiAgentOS is the agent shell; local model runtimes (Ollama, LM Studio) handle Apple Silicon acceleration via Metal.

Will it ask for Accessibility permissions?

Desktop automation features that interact with other apps may require Accessibility permission, just like any Mac automation tool. You grant it explicitly.