1F
humanlayer/12-factor-agents
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
19.2k 1.5k +12/wk
GitHub
12-factor 12-factor-agents agents ai context-window framework llms memory orchestration prompt-engineering rag
Trend
3
Star & Fork Trend (50 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
humanlayer/12-factor-agents has +12 stars this period . 7-day velocity: 0.2%.
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| Metric | 12-factor-agents | ml-agents | FinGPT | owl |
|---|---|---|---|---|
| Stars | 19.2k | 19.3k | 19.0k | 19.3k |
| Forks | 1.5k | 4.4k | 2.7k | 2.2k |
| Weekly Growth | +12 | +3 | +3 | +2 |
| Language | TypeScript | C# | Jupyter Notebook | Python |
| Sources | 1 | 1 | 2 | 3 |
| License | NOASSERTION | NOASSERTION | MIT | N/A |
Capability Radar vs ml-agents
12-factor-agents
ml-agents
Maintenance Activity 0
Last code push 199 days ago.
Community Engagement 38
Fork-to-star ratio: 7.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 44
+12 stars this period — 0.06% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.