Auto-claude-code-research-in-sleepMCP Server45/100 via “resource budgeting and cost optimization for gpu experiments”
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Unique: Implements cost-aware experiment orchestration with pre-execution cost estimation, budget enforcement, and cost-per-paper metrics. Enables cost-optimized experiment selection (greedy algorithm to maximize value within budget). Most research tools ignore costs; ARIS makes cost optimization a first-class concern.
Prevents budget overruns that plague research teams with shared GPU infrastructure; enables cost-aware experiment selection that maximizes research output within budget constraints.