Emerald I
1,891 Elo
- #820 on the ladder
- +1 today · +31 this week
- Peak 1,892
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?
humanlayer/12-factor-agents is #820 on the bestofgithub Elo ladder, in Emerald I, with a rating of 1,891 (+31 this week). It has 27,225 stars, 178 gained in the last week.
1,891 Elo
27,225
git clone https://github.com/humanlayer/12-factor-agents.git100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.gitIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.
git clone https://github.com/patchy631/ai-engineering-hub.gitYour API ⇒ Paid MCP. Instantly.
git clone https://github.com/transitive-bullshit/agentic.gitBuild Real-Time Knowledge Graphs for AI Agents
pip install graphiti-core🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
git clone https://github.com/dair-ai/Prompt-Engineering-Guide.gitCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
git clone https://github.com/headroomlabs-ai/headroom && cd headroom && docker compose up -dLoading README…