Closes the self-improvement loop: when escape-pit + wedged-jump +
blind fallback all run 3× in a row without freeing the bot, fire a
dedicated proposal at the auto-improver. Pi gets the full context
(journal byKind, last 12 scenario-memory entries, current slim
snapshot) and is asked to either improve escapePit() (dig forward +
down + side, not only up) OR add a brand-new recovery.tunnel-out skill.
- runtime/stuck-incident.js: new checkWedged() path with separate
cooldown (10 min) from the no-progress path. noteResult() ingests
every dispatched action's detail.mode to count wedged completions.
- runtime/bot.js: dispatchAction calls stuckIncident.noteResult(res)
after each result; tick() calls checkWedged() and files the proposal
via writeProposal({editScope:[runtime/actions.js, runtime/skills/,
runtime/reflex.js]}).
This is the architectural piece: a bot wedged in a 1×1 hole now
generates a proposal that Pi can act on (with edit-scope guard rails
+ npm test smoke gate from PR #19), instead of looping wedged-jump
forever.
Verified live: bot now also picks direction from journal —
"explore.far: journal says leanest quadrant=NE → prefer N" — first
time the bot uses persistent memory to choose where to go next.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Closes a structural gap: the bot now actually REMEMBERS what it
discovered and what it tried. Two stores live under state/<host>/ and
are wired in automatically.
runtime/world-journal.js
- Append-only JSONL of discovered points (chopped, placed, base,
shelter, farm, dead_end). Indexed by 16-block spatial grid; O(neighbors)
nearest() lookups; 6 h age prune; 10k line ceiling with trim.
- leanestQuadrant({x,z}) reports the quadrant the bot has the FEWEST
markers in — used by explore.far to circle rather than retread.
- summary() exposed for the stuck-incident proposal body.
runtime/scenario-memory.js
- Sliding window of (skillId, situationHash, code, ok, detail) tuples.
- situationHash() is a coarse fingerprint (16x8x16 cell + day/night +
food/hp bucket + inv key set + closest hostile). So "same kind of
place + same kind of state" matches.
- shouldSkip({skillId, situation}) → true after ≥3 failures within 30
min UNLESS a more-recent success in the same situation un-locks it.
- recentTailFor() exposed for the stuck-incident body.
Wiring (runtime/bot.js):
- dispatchAction captures situationHash BEFORE the action runs and
records (skillId, situation, code, ok) after — failures are attributed
to the dispatch-time state, not the partial-effect state.
- worldDelta fields (choppedAt, minedAt, placedAt, baseAt, shelterAt,
plantedAt, harvestedAt, tilledAt) auto-flow into the journal.
- no_target + silent_dig_failure also write dead_end markers.
Scheduler / skills now consume memory:
- reflex.js curriculum reflex calls memory.shouldSkip — if the same
(skill, situation) failed 3+ times recently, auto-converts to a
wander hint so the bot leaves and tries elsewhere.
- explore.far calls journal.leanestQuadrant when multiple cardinal
directions are walkable and prefers the less-explored one.
- gather.logs walks to the nearest known "chopped" bucket within 96
blocks before falling through to findBlock — chunks with confirmed
trees are more likely to yield another.
stuck-incident body now includes journal byKind + last 12 scenario
entries so Pi can write a structural fix, not just a guard clause.
Architecturally: this is the foundation for "bot rewrites itself".
The proposals Pi now receives carry real signal about what was tried
and what's around, instead of a single snapshot in isolation.
10 new tests (world-journal × 5, scenario-memory × 5). npm test 134/134.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase 6 of plans/autonomous-survival-bot-prd.md. Expand the
self-improvement loop so the bot can spot and report no-progress
stagnation, not just exception-class failures.
New:
- runtime/stuck-incident.js: detector fires a structured proposal when
the same noProgressReason persists past 5 min (cooldown 30 min).
Body includes runtimeState, milestone, suggested skill, slim
snapshot, last action result, per-skill success/failure metrics
and a forbidden-paths list. Pure module — caller (bot.js) writes
the proposal.
- runtime/skill-metrics.js: in-memory per-skill ok/fail counters
surfaced on snapshot.skillMetrics for the TUI and the incident
body.
- runtime/stuck-incident.test.js: 6 tests covering null reason,
threshold gating, cooldown, reason change resetting the timer,
body composition and metrics snapshot.
Wiring:
- runtime/state-store.js: writeProposal accepts {editScope: string[]}
and persists it in the frontmatter; readProposalEditScope() reads
it back so future auto-patch.js can refuse cherry-picks that touch
other areas.
- runtime/bot.js: tick() invokes the stuck detector each tick,
records skill ok/fail via skillMetrics, stamps snapshot.skillMetrics
and writes the stuck proposal via writeProposal({editScope}).
dispatchAction now records into skillMetrics for both the
resolved-result and the exception path.
npm test now 46/46.
Co-authored-by: Yuriy Mayatnikov <mayatnikov@me.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mayatnikovandClaude Opus 4.7