
Osaurus: Open Source AI Agents for Local macOS Execution
Open source AI agents that run 100% locally on your Mac with persistent memory and autonomous execution.
β 4.5 / 5 iKeep scoreScreenshots
Quick facts
Overview
Osaurus is a native macOS harness for AI agents that runs entirely offline, offering persistent memory, autonomous execution, and cryptographic identity. Built in Swift and MIT licensed, it allows users to own their AI without relying on external servers or subscriptions.
Getting started with Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt
- Download OsaurusVisit the official Osaurus website and download the macOS application.

- Install and launchInstall the application on your macOS device and launch it to begin setup.

- Configure local modelsSet up local AI models using the Swift MLX runtime for offline execution.
- Create an agentDefine a new AI agent with persistent memory and autonomous execution capabilities.
- Run and approve actionsExecute agent tasks and approve each action through the built-in approval gate.
Pricing
| Plan | Price | Note |
|---|---|---|
| Free | Free | always will be |
π‘ Indicative pricing β check the official rates at osaurus.ai Β· Updated 7/16/2026
Key features
- Runs 100% locally on macOS with no external server dependency
- Persistent memory and autonomous execution
- Isolated sandbox for code execution and file production
- Approval gate for every agent action
- Local models run fully offline with Swift MLX runtime
- Option to use frontier models with local memory and context
Pros
- Fully offline operation ensures privacy and data security
- Open source with strong community support (7K+ GitHub stars)
- Native Swift implementation optimized for Apple Silicon
Cons
- Requires at least 16GB of RAM (24GB recommended)
- Limited to macOS platform
Use cases
- Privacy-conscious users who want AI agents to handle personal tasks locally
- Developers looking to integrate AI agents with macOS applications
- Teams needing autonomous agents for productivity without cloud dependencies
The verdict
Osaurus is a standout choice for macOS users who need AI agents to operate locally with full privacy and control, offering a robust open-source alternative to cloud-based solutions.
β Who should use it
Mac users who need AI agents to handle personal or professional tasks without sending data to external servers.
β Who should skip it
Users who rely on cross-platform AI tools or prefer cloud-based solutions for scalability.
Categories
Community
- GitHub Discussions βOfficial GitHub community for Osaurus development
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Frequently asked questions
Is Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt free?
Free and always will be
What is Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt best for?
Mac users who prioritize privacy and want AI agents to run locally without cloud dependencies.
Does Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt have an API?
No, Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt does not offer a public API.
Can I self-host Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt?
Yes, Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt can be self-hosted.
Who should use Osaurus: Open source agents that run 100% locally on your Mac | Product Hunt?
Mac users who need AI agents to handle personal or professional tasks without sending data to external servers.
Reviews 5.0 β Β· 1 review
Osaurus delivers a compelling solution for macOS users who want AI agents to operate locally without compromising privacy. Its open-source nature and Swift-based implementation make it a robust choice for developers and privacy-conscious individuals alike. The ability to run fully offline and integrate with macOS features like Calendar and Contacts sets it apart from cloud-dependent alternatives. With strong community backing and a clear focus on user control, Osaurus is a top pick for anyone looking to harness AI agents on their Mac without the usual trade-offs.
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