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?
A principles checklist for shipping LLM agents to production — Inspired by the 12 Factor App methodology, this guide distills lessons from building real-world LLM agents into 12 concrete principles, covering context window ownership, control flow, and human-in-the-loop design. It targets engineers moving past demos toward agents that hold up under production use.
Metrics
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Star growth and Trending appearances (last 30 days)
Bands mark days on the trending list (darker = higher rank)
Daily trending ranks as a table (1 days)
| Date | Daily |
|---|---|
| Nov 9, 2026 | typescript #16 +19 |
Created Mar 31, 2025 · First on trending Nov 9, 2026
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Rank within agents
| # | Repository | ★ |
|---|---|---|
| 1 | Significant-Gravitas/AutoGPT | 187,986 |
| 2 | langflow-ai/langflow | 156,512 |
| 3 | Shubhamsaboo/awesome-llm-apps | 144,381 |
| 4 | ruvnet/ruflo | 81,442 |
| 5 | rohitg00/ai-engineering-from-scratch | 78,323 |
| 6 | usestrix/strix | 74,888 |
| 7 | mem0ai/mem0 | 68,774 |
| 8 | crewAIInc/crewAI | 60,746 |
| 9 | vectorize-io/hindsight | 60,323 |
| 10 | FlowiseAI/Flowise | 55,558 |
| 28 | humanlayer/12-factor-agents | 27,089 |