EXO vs Ollamac

Side-by-side comparison for macOS

EXO

8.0

Developer Tools

Run AI models locally across multiple devices

Ollamac

8.0

Developer Tools

Interact with Ollama models

Metric	EXO	Ollamac
Category	Developer Tools	Developer Tools
AI Score	8.0	8.0
30-day Installs	446	144
90-day Installs	508	477
365-day Installs	508	2.0K
Version	1.0.71	3.0.3
Auto-updates	Yes	Yes
Deprecated	No	No
GitHub Stars	45.1K	1.9K
GitHub Forks	3.2K	100
Open Issues	242	48
License	Apache-2.0	NOASSERTION
Language	Python	Swift
Last GitHub Commit	1mo ago	1y ago
First Seen	Jun 2, 2026	Feb 8, 2024

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.

Ollamac

Ollamac is a macOS application that provides a graphical interface for interacting with Ollama models, allowing users to engage with large language models locally. It is particularly useful for developers and AI enthusiasts who want to experiment with machine learning models without relying on cloud services.

Ollamac offers a user-friendly graphical interface to interact with Ollama models, enabling local AI experiences.

Pros

+ Provides a graphical interface for interacting with Ollama models
+ Enables local AI model experimentation without cloud dependency
+ Supports a niche but active developer community

Cons

- Limited real-time collaboration features
- Customization options are somewhat restricted

View EXO details → View Ollamac details →