Awesome Context Engineering

Awesome Context Engineering

[](https://awesome.re) [](https://github.com/yzfly/awesome-context-engineering) [](https://github.com/yzfly/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](README_CN.md) | [English](README.md)

📚 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: Handling context windows, memory, and state across interactions
• Context Compression: Reducing token usage while preserving essential information
• Context Isolation: Separating concerns across different context spaces

📖 Featured Articles

Context Rot: How Increasing Input Tokens Impacts LLM Performance

• https://research.trychroma.com/context-rot

Manus Context Engineering

**Context Engineering for AI Agents: Lessons from Building Manus**

• 📄 Original: [Manus Blog](https:/