12 Factor Agents
humanlayer
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?
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129–144 / 190
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 190
humanlayer
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?
QuivrHQ
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, G…
dataease
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
alvinreal
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
PySpur-Dev
A visual playground for agentic workflows: Iterate over your agents 10x faster
cactus-compute
Low-latency AI engine for mobile devices & wearables
qdrant
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
chonkie-inc
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
SylphAI-Inc
AdalFlow: The library to build & auto-optimize LLM applications.
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
AIDC-AI
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
morphik-org
The most accurate document search and store for building AI apps
GiovanniPasq
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.