MDX · MIT
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
★ 79.8k
Stars
8.8k forks · 294 open issues
+28/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
42.1
Momentum / 100
see the breakdown below
3y ago
Created
last push 8mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 27.9 | +28/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.87× the monthly pace |
| Freshness | 15 | 0.0 | last push 8mo ago; decays to zero at 180 days |
| Scale | 15 | 14.2 | 79.8k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 42.1 | sum of the above |
Detail
| Topics | agentagentsai-agentschatgptdeep-learninggenerative-ailanguage-modelllmsopenaiprompt-engineeringrag |
| Matched on | AI Agents (ai-agents) RAG (rag) |
| Short window | +194 stars over 7 days = 27.7/day |
| Long window | +824 stars over 26 days = 31.7/day |
| Lifetime average | 56.23 stars/day over 1,420 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |