Awesome-Context-Engineering and context-engineering-handbook
These are complements: the survey provides theoretical breadth and research foundations across context engineering approaches, while the handbook offers practical, production-ready patterns and code implementations for the same domain.
About Awesome-Context-Engineering
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.
Organizes curated research across long-context handling, RAG systems, memory architectures, agent runtimes, and interoperability protocols—moving beyond static prompts to production agent stacks. The survey maps context engineering's evolution into modern agent systems, covering memory management, MCP/A2A protocol integration, coding agent frameworks, and trace-first observability for long-horizon execution. Includes theoretical foundations (Bayesian context inference), implementation guides across LLM frameworks, and contemporary tooling like Claude Code memory and LangSmith observability.
About context-engineering-handbook
ypollak2/context-engineering-handbook
The practitioner's guide to building effective context for AI agents and LLM applications. 15 battle-tested patterns with Python + TypeScript code.
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