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EXO vs LM Studio
Side-by-side comparison for macOS
EXO
8.0Run AI models locally across multiple devices
LM Studio
8.0Discover, download, and run local LLMs
| Metric | EXO | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 446 | 6.1K |
| 90-day Installs | 508 | 18.9K |
| 365-day Installs | 508 | 48.4K |
| Version | 1.0.71 | 0.4.18,1 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 45.1K | 136 |
| GitHub Forks | 3.2K | 28 |
| Open Issues | 242 | 2 |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Last GitHub Commit | 1mo ago | 2y ago |
| First Seen | Jun 2, 2026 | Jul 22, 2023 |
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.
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users