TI
AutoArk/TinyEngram
Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.
51 4 +0/wk
GitHub ✦ New Signal
deepseek deepseek-ai engram fine-tuning llm llm-memory lora memory-injection peft pytorch qwen stable-diffusion
Trend
0
Star & Fork Trend (6 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AutoArk/TinyEngram has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | TinyEngram | sciclaw | KiraAI | julia-mcp |
|---|---|---|---|---|
| Stars | 51 | 51 | 51 | 51 |
| Forks | 4 | 9 | 14 | 5 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Go | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | AGPL-3.0 | MIT |
Capability Radar vs sciclaw
TinyEngram
sciclaw
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 39
Fork-to-star ratio: 7.8%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.