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Scheduler that auto-starts batch pipelines when inference is available. Features: - Checks inference provider availability (local Ollama, RunPod, OpenRouter) - Priority ordering: playground > training > knowledge > adversary > genome - Dependency rules (e.g., knowledge_mine waits for training_factory) - Daily token budget (5M default, configurable) - Peak-hour pausing (8am-10pm = interactive mode, no pipelines) - State persistence via ~/.hermes/pipeline_state.json - One pipeline per cycle to avoid overload Usage: python3 pipeline/nightly_scheduler.py --status python3 pipeline/nightly_scheduler.py --check # dry-run python3 pipeline/nightly_scheduler.py # live Cron: */30 22-5 * * * pipeline/nightly_scheduler.py Closes #624