Osaurus
Osaurus is a native, open-source macOS app that runs AI models locally on Apple Silicon, keeping data private and offline while allowing optional cloud models (e.g., ChatGPT, Claude, Gemini) when needed.
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Quick Overview
Best for: AI Agents
What it does
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Best fit
AI Agents
Pricing snapshot
Free from Free
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Osaurus
Osaurus is a native Swift application for Apple Silicon (macOS 15.5+) that runs AI models locally on your Mac so data never leaves the device. It is designed for privacy-first use: models run offline on the M-series chip with no telemetry, no servers, and no training on your data. The app is MIT licensed and free to use. Users can run entirely local models and optionally connect cloud models (for example ChatGPT, Claude, or Gemini) when a task requires them. Osaurus also supports adding external model backends such as Ollama, MLX, or LM Studio in one click, and provides tools to drop in files, assign tasks, and build autonomous agents that can read, write, and execute in the local environment.
Open source agents that run 100% locally on your Mac Discussion | Link
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Claim this listingKey Features
Local model execution
Runs models entirely on your Mac (Apple Silicon / M-series) so inference happens locally without round trips to remote servers.
Privacy-first / Offline
No telemetry and no training on user data; works with Wi‑Fi off and nothing leaves the Mac unless explicitly enabled.
Native macOS app
Native Swift application for Apple Silicon delivered as a .dmg; no account required to run the app.
Cloud model integration
Optionally add cloud models such as ChatGPT, Claude, or Gemini when needed, and connect model backends like Ollama, MLX, or LM Studio in one click.
Agents and automation
Build autonomous agents that can run tasks in the background — examples mentioned include voice control, folder watchers, browser plugins, and parallel jobs.
File and tool access
Can read, write, and execute within local folders to perform tasks that require knowledge of the user’s environment.
Open source (MIT)
MIT licensed, free to use, modify, and distribute.
Multiple install options
Download a .dmg and launch (no account). A Homebrew install command is also shown (brew install osaurus).
Pricing
Osaurus is MIT licensed and free to use with no subscription, usage caps, or billing.
Free (MIT licensed)
Free- No subscription
- No usage caps
- No billing
- Open source (MIT license)
Use Cases
Private local assistant for files and code
Drop a folder and give it a job so Osaurus can read and act on local files without sending data to the cloud.
Autonomous agents and automation
Build agents that perform tasks autonomously (voice control, folder watchers, browser plugins, parallel jobs) to run workflows while you sleep.
Offline model inference
Run models entirely offline on your Apple Silicon Mac when internet access is unavailable or undesired.
Hybrid local + cloud workflows
Start private and offline, and selectively reach for cloud models like ChatGPT, Claude, or Gemini for tasks that demand them.
Integrations
Ollama
One-click connection to run models via Ollama as an external model backend.
MLX
One-click connection to run models via MLX as an external model backend.
LM Studio
One-click connection to run models via LM Studio as an external model backend.
ChatGPT / Claude / Gemini
Optionally add cloud models such as ChatGPT, Claude, or Gemini when a task requires cloud capabilities.
Benefits
Limitations
Frequently Asked Questions
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Getting Started
- 1 Download the macOS .dmg for Apple Silicon (requires macOS 15.5+), open it, and launch the app — no account needed.
- 2 Alternatively install via Homebrew (brew install osaurus) if preferred.
- 3 Add or connect models in one click (connect Ollama, MLX, or LM Studio) or rely on local models.
- 4 Drop a folder or files, assign tasks, and start building agents or running jobs.
Support
Docs
Project documentation is available through the site (Docs link shown in footer).
GitHub
Open-source project and code repository hosted on GitHub (GitHub link shown in footer).
Discord
Community support and discussion via Discord (Discord link shown in footer).
Community discussion via Reddit (Reddit link shown in footer).
API
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