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[ARCHIVED] ε·²θΏη§»ε° MIXIA-Framework repo
The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards
π₯ 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.
π Discover and explore a curated list of MCP servers, tools, and resources for AI assistants, enhancing your development and productivity.
π§ Enhance Claude AI context retention by optimizing prompt efficiency and enabling seamless session handoff for consistent memory across interactions
π€ Explore and utilize top open-source tools for running, fine-tuning, and building LLMs entirely locally, without cloud dependencies or API keys.
Aggregate and serve specialized Agent Skills across multiple servers with dynamic tool management and human-in-the-loop security controls.
π Automate literature surveys with AI agents using a structured protocol for thorough research and insightful report generation.