Built n-autoresearch - As I saw, in comments on X, there is a need to run agent swarms in parallel on multiple GPUs, hence adding a structured continuation to the autoresearch project by legend Karpathy's, powered by Worker / Function / Trigger as primitives.

What's different: → 21 functions, 23 triggers, 8 KV scopes for structured experiment state → Polyglot: TypeScript orchestrator + Rust GPU worker → Multi-GPU parallel experiments with adaptive search (explore → exploit → combine → ablation) → External agents call functions via REST: no LLM baked in, similar to autoresearch itself.

Same val_bpb hill-climbing loop, but with proper state management, crash recovery, near-miss tracking, and structured reporting.

Testing on NVIDIA GB10 (Grace Blackwell).