Launch an autonomous THINK→EXECUTE→REFLECT experiment loop on a GPU project
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| name | experiment-status |
| description | Check status of running autonomous experiment loops |
Check the current status of your autonomous experiment agent.
Claude Code: /experiment-status
Claude Code: /experiment-status --project /path/to/project
Codex: $experiment-status
PROJECT_BRIEF.md — show the research goalMEMORY_LOG.md — show key results and recent decisions.cycle_counter — show how many cycles completedHUMAN_DIRECTIVE.md exists (pending directive)If execution.mode=ssh, controller state still comes from the local project
directory, but PID checks, training logs, and GPU status come from the
configured remote host.
# Experiment Status — my-project
## Goal
Train ViT-B/16 on ImageNet to 78%+ accuracy
## Progress
- Cycles completed: 4
- Current best: 78.3% (Exp004, ViT-B/16 + cosine + mixup)
- Status: TRAINING (PID 12345, GPU 0, running 3.2h)
## Latest Training Log
Epoch 45/90 | loss: 2.134 | acc: 77.1% | lr: 1.2e-4
## Recent Decisions
1. [04-08 14:45] Target reached with mixup, trying stronger augmentation
2. [04-08 06:00] Cosine schedule helped, adding regularization
## Pending Directive
None (drop a file at workspace/HUMAN_DIRECTIVE.md to intervene)