Meirtz/Awesome-Context-Engineering resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3283 stars · 280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list and survey of context engineering for LLMs and AI agents, collecting hundreds of papers, frameworks, and implementation guides. It accompanies an academic survey paper and covers topics from prompt engineering to agent runtimes, memory systems, and observability.

Use cases

• learn about context engineering for llms
• find papers on prompt engineering and rag
• research agent memory systems
• study how to build production-grade ai agents
• find frameworks for llm context management
• prepare a literature review on context engineering

When to choose

• you want a curated, paper-backed reading list on context engineering and agent architectures
• you are researching LLM context, memory, or RAG techniques
• you want links to frameworks and implementation guides for AI agents

When to avoid

• you need runnable production software rather than a resource collection
• you want a hands-on tutorial with code exercises instead of a survey
• you need a specific tool rather than an overview of the field

Facets

learning-resource · maturity active

rag prompt-engineering agent-framework llm-inference documentation large-language-models artificial-intelligence tutorials awesome-lists context-engineering survey awesome-list llm memory-systems agent-runtimes ai-agents retrieval-augmented-generation web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Meirtz/Awesome-Context-Engineering")