EXO vs Osaurus
Side-by-side comparison for macOS
EXO
8.0Run AI models locally across multiple devices
Osaurus
7.0LLM server built on MLX
| Metric | EXO | Osaurus |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 7.0 |
| 30-day Installs | 446 | 516 |
| 90-day Installs | 508 | 1.7K |
| 365-day Installs | 508 | 5.5K |
| Version | 1.0.71 | 0.21.5 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 45.1K | 4.0K |
| GitHub Forks | 3.2K | 163 |
| Open Issues | 242 | 30 |
| License | Apache-2.0 | MIT |
| Language | Python | Swift |
| Last GitHub Commit | 1mo ago | 3mo ago |
| First Seen | Jun 2, 2026 | Sep 19, 2025 |
Reviews
EXO
EXO is a tool that enables running AI models locally across multiple devices, making it ideal for developers and AI enthusiasts who need cross-device support. Its unique ability to distribute AI processing efficiently across devices is a key feature.
EXO allows users to run AI models locally on multiple devices.
Pros
- + High popularity indicated by extensive GitHub engagement.
- + Cross-device functionality for efficient AI model execution.
- + Licensed under Apache-2.0, promoting open-source adoption.
Cons
- - Low recent installs suggest limited adoption.
- - High number of open issues may indicate ongoing development or instability.
Osaurus
Osaurus is a local LLM server for macOS, enabling users to run and manage AI models locally or in the cloud. It supports Apple's foundation models and integrates with tools like Ollama, making it ideal for developers and AI enthusiasts.
Osaurus provides a runtime environment for AI models, allowing users to run and share models locally or via the cloud.
Pros
- + Compatible with Apple's foundation models and Ollama
- + Supports both local and cloud-based model execution
- + Built using Swift for native macOS integration
Cons
- - Lacks auto-update functionality
- - Past issues with performance and memory usage