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.; subcog: Subcog is a persistent memory system for AI coding assistants that captures decisions, learnings, and context from coding sessions. It features a single-binary distribution, three-layer storage architecture (SQLite, FTS5, usearch HNSW), MCP server integration, and Claude Code hooks. It achieves high accuracy on factual recall benchmarks.
Explore new research areas and discover novel ideas through literature surveys and brainstorming.
Capturing and recalling technical decisions during development