Decision Workspace
offline-intelligence vs aitna vs memvid-ask-model
Side-by-side comparison of Rust crates
52
offline-intelligence
experimentalv0.1.6
High-performance library for offline AI inference with context management, memory, and thread-based server architecture
45
aitna
experimentalv0.1.0-alpha
A local LLM inference platform with model pulling, quantization optimization, and high-performance serving
63
memvid-ask-model
growingv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
Core Metrics
| offline-intelligence | aitna | memvid-ask-model | |
|---|---|---|---|
| Health Score | 52 | 45 | 63 |
| Total Downloads | 258 | 13 | 877 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 3 | 0 | 25 |
| Releases | 6 | 1 | 27 |
| Last Updated | 3d ago | 31d ago | 73d ago |
| Age | 4m | 1m | 6m |
Health Breakdown
offline-intelligence
Maintenance
20
Quality
11
Community
8
Popularity
3
Documentation
10
aitna
Maintenance
11
Quality
14
Community
6
Popularity
1
Documentation
13
memvid-ask-model
Maintenance
16
Quality
18
Community
10
Popularity
4
Documentation
15
Technical Details
| offline-intelligence | aitna | memvid-ask-model | |
|---|---|---|---|
| Version | 0.1.6 | 0.1.0-alpha | 2.0.139 |
| Stable (≥1.0) | ✗ No | ✗ No | ✓ Yes |
| License | Apache-2.0 | MIT OR Apache-2.0 | Apache-2.0 |
| Dependencies | 73 | 1 | 9 |
| Crate Size | 304KB | 3KB | 53KB |
| Features | 2 | 0 | 2 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2024 |
| MSRV | — | — | 1.85.0 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 63/100, but none of the options score above 80.
- •offline-intelligence, aitna are pre-1.0 — API may change.