Introduction
Context Engineering is a practical, first-principles handbook that moves beyond prompt engineering to the broader discipline of context design, orchestration, and optimization. It aggregates recent research and hands-on templates to help engineers and researchers build robust context systems combining retrieval, memory, tools, and orchestrated control flows.
Key Features
- A layered framework from atomic prompts to field-theory inspired systems and protocol orchestration.
- Course materials, runnable notebooks and templates to accelerate practical adoption and validation.
- Community-driven repository that continuously integrates contemporary research and examples.
Use Cases
- Education and training: structured curriculum for learning context engineering concepts and practices.
- Production engineering: guidance for building systems with persistent memory, RAG, and multi-step orchestration.
- Research: an indexed collection of papers, experiments, and reproducible examples for quick reference.
Technical Highlights
- Emphasizes reproducible code-first examples and templates over slide-based descriptions.
- Integrates RAG, memory architectures, and multi-agent orchestration patterns for long-horizon tasks.
- Open-source under the MIT license, suitable for both academic and commercial reuse.