AC
Meirtz/Awesome-Context-Engineering
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
3.0k 208 +2/wk
GitHub
agent agentic-ai agi awesome-list cognitive-science context-engineering llm rag
Trend
3
Star & Fork Trend (50 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Meirtz/Awesome-Context-Engineering has +2 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Awesome-Context-Engineering | BotSharp | GLiNER | prompttools |
|---|---|---|---|---|
| Stars | 3.0k | 3.0k | 3.0k | 3.0k |
| Forks | 208 | 622 | 260 | 255 |
| Weekly Growth | +2 | -1 | +7 | -1 |
| Language | N/A | C# | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs BotSharp
Awesome-Context-Engineering
BotSharp
Maintenance Activity 87
Last code push 29 days ago.
Community Engagement 34
Fork-to-star ratio: 6.8%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 44
+2 stars this period — 0.07% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.