UEMCP: UEMCP bridges AI assistants with Unreal Engine through a two-tier architecture that separates the MCP server (Node.js) from the Python Editor Plugin, enabling remote deployment of Unreal Engine editors. This implementation provides optimized wrappers around common UE Python API operations, reducing code generation by up to 85%. The repository includes automated setup for AI clients, comprehensive development context, and three specialized Claude agents for enhanced UE workflows.; Auto-claude-code-research-in-sleep: Auto-claude-code-research-in-sleep (ARIS) is a set of custom Claude Code skills for autonomous ML research workflows. It orchestrates cross-model collaboration, with Claude Code executing research tasks and an external LLM (like GPT-5.4) critically reviewing. This system can autonomously discover ideas, run experiments, and write/refine research papers, allowing researchers to wake up to ready-to-submit results.
Automate level design and asset management tasks like organizing actors and spawning objects
Explore new research areas and discover novel ideas through literature surveys and brainstorming.