Vibeleaderboard
Index / agent
Visit oomu.ai
Category
AI Agents
Rank
No. 2405Tools index

Previous survey · No. 2359 ·

Pricing
Free
Type
AGENT
Use case
Productivity & Collaboration
Interfaces
Desktop
Date

About

OOMU is a native macOS AI assistant written in Rust and AppKit (no Electron) that can operate system apps, run terminal commands, and produce documents like Word, Excel, PowerPoint, and PDF across multi-turn tasks. It defaults to local models but supports bring-your-own-key cloud APIs (OpenAI, Gemini, DeepSeek, Grok, Mistral) for harder work, and uses a small on-device routing model to decide, turn by turn, whether a request should run locally or in the cloud.

At a glance

OOMU is an Apple silicon Mac app with a local model and optional cloud providers. It is worth trying if you want a desktop AI workspace that can start without a cloud account.

Good fit

Mac users who can spare the memory and storage for a local model.

Consider something else when

Use another app if you have an Intel Mac or cannot accommodate the local model and its storage.

Start here

Read the model requirements and use a harmless prompt to check whether local responses are useful on your machine before connecting a provider.

Cost and requirements

The vendor describes the beta as free. Its download page lists Apple silicon, at least 8 GB of memory and about 6 GB of free disk space. Optional cloud providers bill separately.

Limits to know

The installer size excludes the model files. Local model capability depends on the machine and model selected. Connecting a cloud provider changes where requests are processed.

Sources checked 2026-11-05. Source-based assessment.

Why it made the leaderboard

A native, lightweight macOS agent harness written in Rust that routes prompts between local and cloud models automatically, cutting API costs and eliminating the setup churn of open-source alternatives like OpenClaw.

Tags

macosai-assistantrustlocal-llmautomation

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.