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?
DataSkill source unconfirmed
24.4KGitHub
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MineContext
volcengine
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
5.4KGitHub
Awesome Context Engineering
Meirtz
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
DataSkill source unconfirmed
3.2KGitHub
Awesome LLM Long Context Modeling
Xnhyacinth
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
DataSkill source unconfirmed
2.1KGitHub
Tidb
pingcap
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No no…
DataSkill source unconfirmed
40.2KGitHub
WrenAI
Canner
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…
15.5KGitHub
KG RAG
BaranziniLab
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
939GitHub
Haystack
deepset-ai
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…
25.6KGitHub
556GitHub