ME
caspianmoon/memoripy
An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.
686 59 +1/wk
GitHub
ai llm memory memory-management
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
caspianmoon/memoripy has +1 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | memoripy | awesome-codex-skills | swiftide | rag-in-action |
|---|---|---|---|---|
| Stars | 686 | 686 | 686 | 684 |
| Forks | 59 | 74 | 58 | 281 |
| Weekly Growth | +1 | +13 | -1 | +2 |
| Language | Python | Python | Rust | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | N/A |
Capability Radar vs awesome-codex-skills
memoripy
awesome-codex-skills
Maintenance Activity 92
Last code push 22 days ago.
Community Engagement 43
Fork-to-star ratio: 8.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 49
+1 stars this period — 0.15% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.