kepano/obsidian-skills
Obsidian Skills provides a collection of agent skills enabling AI agents to interact with Obsidian vaults, facilitating content creation and editing of Markdown, Bases, and JSON Canvas files, as we...
Awesome AI Agents › AI Agent Development
Meirtz/Awesome-Context-Engineering
The project "Awesome Context Engineering" is a comprehensive survey and resource collection focused on the emerging field of Context Engineering, which represents an evolution from traditional prompt engineering to more advanced, dynamic, and context-aware AI systems. It addresses the limitations of static prompting in large language models (LLMs) by encompassing the entire information payload provided to LLMs at inference time, including structured data and dynamic context orchestration. The repository includes hundreds of papers, frameworks, and implementation guides that cover various aspects of context engineering, from theoretical foundations to practical applications. The project features a detailed survey paper published on arXiv, providing academic insights and a theoretical framework for context engineering, including Bayesian context inference and mathematical principles. It highlights the paradigm shift from tactical prompt engineering to strategic context engineering, emphasizing challenges such as human intent communication, complex knowledge requirements, reliability, and trustworthiness in AI systems. The repository is organized into sections covering definitions, components, techniques, architectures, implementation challenges, evaluation paradigms, and applications of context engineering. It discusses advanced topics like retrieval-augmented generation, memory systems, agent communication, and tool use in AI. The project also explores the future directions and limitations of context engineering, aiming to support the development of production-grade AI systems that are scalable, reliable, and efficient. Additionally, the repository fosters a community through WeChat and Discord groups for discussions and updates. It encourages contributions and provides guidelines for paper formatting and citation. The project is licensed under the MIT License, making it accessible for academic and industrial use. Overall, "Awesome Context Engineering" serves as a vital resource for researchers, developers, and practitioners interested in advancing the state-of-the-art in AI system design by leveraging comprehensive context management and engineering techniques.
https://github.com/Meirtz/Awesome-Context-Engineering
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