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Mirai vs LM Studio
Side-by-side comparison for macOS
Mirai
7.0Inference engine for AI models
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Mirai | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 19 | 6.1K |
| 90-day Installs | 50 | 18.9K |
| 365-day Installs | 50 | 48.4K |
| Version | 0.3.9 | 0.4.18,1 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 14.8K | 136 |
| GitHub Forks | 2.5K | 28 |
| Open Issues | 296 | 2 |
| License | AGPL-3.0 | MIT |
| Language | Kotlin | Python |
| Last GitHub Commit | 1y ago | 2y ago |
| First Seen | Jun 1, 2026 | Jul 22, 2023 |
Reviews
Mirai
Mirai is an AI inference engine designed to help developers efficiently deploy and run machine learning models on various platforms. It supports cross-platform development and provides tools for on-device processing, making it ideal for developers working on AI applications.
Mirai runs AI models on devices, enabling efficient inference and deployment.
Pros
- + Efficient AI model deployment
- + Cross-platform support
- + Active development community
Cons
- - Confusing name due to Mirai botnet association
- - Potential security concerns
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