Decision Workspace
spire-ai vs memvid-ask-model vs swiftide
Side-by-side comparison of Rust crates
42
spire-ai
experimentalv0.1.3
AI-native SDK for SpireDB — RAG, code search, agents
64
memvid-ask-model
experimentalv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
59
swiftide
growingv0.32.1
Fast, streaming indexing, query, and agentic LLM applications in Rust
Core Metrics
| spire-ai | memvid-ask-model | swiftide | |
|---|---|---|---|
| Health Score | 42 | 64 | 59 |
| Total Downloads | 42 | 815 | 80.8K |
| 30d Downloads | 6 | 90 | 897 |
| Dependents | 0 | 25 | 68 |
| Releases | 3 | 27 | 91 |
| Last Updated | 33d ago | 14d ago | 132d ago |
| Age | 1m | 4m | 1y 9m |
Health Breakdown
spire-ai
Maintenance
12
Quality
13
Community
5
Popularity
2
Documentation
10
memvid-ask-model
Maintenance
19
Quality
17
Community
10
Popularity
3
Documentation
15
swiftide
Maintenance
13
Quality
15
Community
15
Popularity
6
Documentation
10
Technical Details
| spire-ai | memvid-ask-model | swiftide | |
|---|---|---|---|
| Version | 0.1.3 | 2.0.139 | 0.32.1 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✗ No |
| License | AGPL-3.0-only | Apache-2.0 | MIT |
| Dependencies | 40 | 9 | 27 |
| Crate Size | 75KB | 53KB | 88KB |
| Features | 8 | 2 | 30 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | — | 1.85.0 | — |
| Owners | 1 | 1 | 3 (team) |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 64/100, but none of the options score above 80.
- •swiftide has the most downloads (80.8K), suggesting wider adoption.
- •spire-ai, swiftide are pre-1.0 — API may change.