by yzfly · Agent Tool · ★ 110
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Awesome Context Engineering A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs). Context engineering is the art and science of filling the context window with just the right information at each step of an agent's trajectory. 中文版本 | English 📚 Table of Contents What is Context Engineering? Featured Articles Research Papers Tools & Projects Expert Insights Model Context Protocol (MCP) Contributing Star History What is Context Engineering? Context Engineering is the systematic optimization of information payloads for Large Language Models (LLMs). It encompasses: Context Retrieval & Generation: Selecting and creating relevant information Context Processing: Organizing and structuring context for optimal consumption Context Management: H
| Stars | 110 |
| Forks | 21 |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 57.2639103099368/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-02 |
| Created | 2025-07-28 |
| Platforms | claude-code |
| Est. Tokens | ~18k |
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awesome-context-engineering is A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).. It is categorized as a Agent Tool with 110 GitHub stars.
You can find installation instructions and usage details in the awesome-context-engineering GitHub repository at github.com/yzfly/awesome-context-engineering. The project has 110 stars and 21 forks, indicating an active community.
awesome-context-engineering is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-context-engineering on Agent Skills Hub include claude-code-sub-agent-collective, ctxport, vibe-log-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.