awesome-context-engineering
View on GitHubA curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).
A curated collection of articles, papers, tools, and best practices for context engineering in AI agents and LLM applications, including retrieval, memory, compression, MCP, and coding-agent workflows.
Use Cases
Learn techniques for managing context in AI agentsFind research on LLM context windows and long-context limitationsExplore context retrieval, compression, and memory approachesImprove context design for coding agentsResearch tool integration and MCP for agents
Built With
- Frameworks
- LangChain · Claude Code · MCP
Tags
context engineering · AI agents · LLMs · prompt engineering · agent memory · context retrieval · context compression · RAG · MCP · research papers · best practices