GitHub - dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering - dair-ai/Prompt-Engineering-Guide
GitHub - Meirtz/Awesome-Context-Engineering: 🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
github.comSaved July 21, 2025
Research Resource Collection
Summary
The Awesome-Context-Engineering repository curates a comprehensive collection of papers, frameworks, and implementation guides on context engineering for large language models (LLMs) and AI agents, spanning from prompt design to production‑grade systems.
Highlights
- Curated list of hundreds of academic papers and open‑source projects related to context engineering, retrieval‑augmented generation, and memory‑augmented LLMs.
- Covers formal definitions, system architectures, scaling strategies, and integration of structured data for dynamic prompting.
- Highlights practical challenges such as evaluation metrics, enterprise deployment, and agent communication protocols.
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Context
Audience
Researchers, machine learning engineers, and developers building or studying context‑aware LLM applications
DomainArtificial Intelligence / Large Language Models
Formatopen‑source repository (GitHub)
Accessfree online
Topics
Related
Prompt EngineeringRetrieval‑Augmented GenerationLLM Memory SystemsAI Agent FrameworksProduction AI Infrastructure
