Python · MIT
oneal2000/SR-Agents
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
★ 111
Stars
14 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
10.4
Momentum / 100
see the breakdown below
6mo ago
Created
last push 4mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 4.5 | last push 4mo ago; decays to zero at 180 days |
| Scale | 15 | 5.9 | 111 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 10.4 | sum of the above |
Detail
| Topics | agent-memoryagent-skillsagentic-aibenchmarkllm-based-agentsragretrieval-augmented-generationskill-learningskill-retrievalskill-retrieval-augmentationtool-use |
| Matched on | RAG (retrieval-augmented-generation) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +3 stars over 26 days = 0.1/day |
| Lifetime average | 0.55 stars/day over 203 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |