Osaurus

Osaurus is an open source AI agent platform that runs locally on Mac computers for users who want to keep their data private. It allows agents to interact with local files and applications without using external servers.

Osaurus

About Osaurus

Osaurus is an open-source AI agent platform that runs entirely on a user's Mac, keeping all data and context local. Built in Swift for Apple Silicon and MIT licensed, it lets users create agents that interact with macOS apps, execute code in a sandbox, and require approval before acting. The tool grew from a small desktop companion called Dinoki and now has over 7,000 GitHub stars and 175,000 downloads.

Review

Osaurus puts local execution and privacy front and center. All chat history, memory, and file interactions stay on the Mac's file system, and agents can work with real Calendar, Contacts, iMessage, and files. A built-in approval gate shows what the agent intends to do before it acts, and a sandbox generates actual files-images, PDFs, presentations-on the desktop.

Key Features

  • Approval gate that requires manual confirmation before an agent performs any action.
  • Local model execution via a custom Swift MLX runtime, with no Python dependency.
  • Sandbox that writes and runs code, producing real files on the desktop.
  • Subagents feature for delegating tasks between local and remote models within a workflow.
  • Integration with macOS Calendar, Contacts, and iMessage, plus access to the user's file system.

Pricing and Value

Osaurus is free, with no account or subscription required. Users who want cloud models can bring their own API keys (OpenAI, Anthropic, Gemini) or use the pay-as-you-go Osaurus Cloud service. In both cases, memory and context remain on the local machine.

Pros

  • All agent memory, context, and chat history stay on-device by default.
  • Open-source codebase (MIT license) and native Swift build for Apple Silicon.
  • Approval gate lets users inspect and veto every agent action.
  • Subagents enable hybrid workflows that mix local and cloud models.
  • Sandbox can generate a variety of file types directly on the desktop.

Cons

  • Not well suited for users on Windows or Linux, as Osaurus runs exclusively on macOS.
  • Local model use requires at least 16GB of RAM, with 24GB recommended for reliable tool calling and multi-step tasks.
  • No visual activity timeline yet; an internal log exists and a visual diff is on the roadmap, but currently users can't scrub through agent changes.

Osaurus fits users who want to automate macOS tasks with local AI agents and are comfortable with manual approvals and some technical setup. It's a practical option for those prioritizing data privacy and open-source tools over the convenience of managed cloud services. The roadmap includes a knowledge base for projects, image and speech generation endpoints, and a visual activity log.



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