Decision Workspace
offline-intelligence vs memvid-ask-model vs hoosh
Side-by-side comparison of Rust crates
45
offline-intelligence
experimentalv0.1.3
High-performance library for offline AI inference with context management, memory, and thread-based server architecture
64
memvid-ask-model
experimentalv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
58
hoosh
experimentalv1.0.0
AI inference gateway — multi-provider LLM routing, local model serving, speech-to-text, and token budget management
Core Metrics
| offline-intelligence | memvid-ask-model | hoosh | |
|---|---|---|---|
| Health Score | 45 | 64 | 58 |
| Total Downloads | 122 | 815 | 319 |
| 30d Downloads | 63 | 89 | 332 |
| Dependents | 3 | 25 | 4 |
| Releases | 3 | 27 | 8 |
| Last Updated | 5d ago | 14d ago | today |
| Age | 2m | 4m | 7d |
Health Breakdown
offline-intelligence
Maintenance
14
Quality
11
Community
8
Popularity
2
Documentation
10
memvid-ask-model
Maintenance
19
Quality
17
Community
10
Popularity
3
Documentation
15
hoosh
Maintenance
17
Quality
15
Community
8
Popularity
3
Documentation
15
Technical Details
| offline-intelligence | memvid-ask-model | hoosh | |
|---|---|---|---|
| Version | 0.1.3 | 2.0.139 | 1.0.0 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✓ Yes |
| License | Apache-2.0 | Apache-2.0 | AGPL-3.0-only |
| Dependencies | 67 | 9 | 41 |
| Crate Size | 276KB | 53KB | 259KB |
| Features | 2 | 2 | 21 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2024 |
| MSRV | — | 1.85.0 | 1.89 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 64/100, but none of the options score above 80.
- •offline-intelligence is pre-1.0 — API may change.