Meirtz/Awesome-Context-Engineering
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
Organizes curated research across long-context handling, RAG systems, memory architectures, agent runtimes, and interoperability protocols—moving beyond static prompts to production agent stacks. The survey maps context engineering's evolution into modern agent systems, covering memory management, MCP/A2A protocol integration, coding agent frameworks, and trace-first observability for long-horizon execution. Includes theoretical foundations (Bayesian context inference), implementation guides across LLM frameworks, and contemporary tooling like Claude Code memory and LangSmith observability.
2,977 stars. Actively maintained with 12 commits in the last 30 days.
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Mar 10, 2026
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