| # | Step | State | Tries | Result |
|---|---|---|---|---|
| (empty — the loop has not run yet) | ||||
| Key | Value |
|---|---|
| (empty) | |
Run the loop from the repo root, then regenerate this dashboard into the served tree:
python3 agents/persistent-agent-loop.py run --goal "your goal" \
--plan "step A;;step B;;step C" \
--cmd "python3 path/to/decision-model.py"
python3 agents/persistent-agent-loop.py dashboard \
--out pages/agent-dashboard.html
The loop's brain is .agent/state.json (local-only, gitignored). The
dashboard command also writes .agent/dashboard.html by default; the --out
flag rewrites this served page so the Twin's cognitive-twin panel shows live state.