Python
RichmondAlake/memorizz
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
★ 781
Stars
87 forks · 3 open issues
+4.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
41.9
Momentum / 100
see the breakdown below
2y ago
Created
last push 5d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.8 | +4.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 15.0 | last week ran 2.12× the monthly pace |
| Freshness | 15 | 14.8 | last push 5d ago; decays to zero at 180 days |
| Scale | 15 | 8.4 | 781 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 41.9 | sum of the above |
Detail
| Topics | aiartificial-intelligencedata-managementmongodboracleoracle-databasepythonsemantic-search |
| Matched on | RAG (semantic-search) |
| Short window | +4 stars over 7 days = 0.6/day |
| Long window | +7 stars over 26 days = 0.3/day |
| Lifetime average | 0.98 stars/day over 795 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |