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EXO vs GPT4All
Side-by-side comparison for macOS
EXO
8.0Run AI models locally across multiple devices
GPT4All
8.0Run LLMs locally
| Metric | EXO | GPT4All |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 446 | 62 |
| 90-day Installs | 508 | 182 |
| 365-day Installs | 508 | 1.1K |
| Version | 1.0.71 | 3.10.0 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 45.1K | 77.2K |
| GitHub Forks | 3.2K | 8.3K |
| Open Issues | 242 | 756 |
| License | Apache-2.0 | MIT |
| Language | Python | C++ |
| Last GitHub Commit | 1mo ago | 1y ago |
| First Seen | Jun 2, 2026 | Jan 31, 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.
GPT4All
GPT4All enables users to run large language models locally, offering offline AI capabilities powered by GPT4All-J. It's ideal for developers, self-hosters, and those needing offline AI solutions with diverse integration possibilities.
Runs large language models locally using GPT4All-J.
Pros
- + Runs AI models offline without internet
- + Supports a variety of AI models
- + Open-source with active community
- + No internet dependency for AI use
- + Strong developer and self-hosting community
Cons
- - No auto-update feature
- - Potential installation challenges (resolved in latest updates)