Major iteration: self-learning agent with knowledge base, post-mortem coach, and persona narration. See docs/v0.2.0-self-learning.md for the full design. This commit only adds the scaffolding (design + deps); subsequent commits add the modules. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
230 lines
10 KiB
Markdown
230 lines
10 KiB
Markdown
# pepa v0.2.0 — self-learning agent
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> Status: **active** (started 2026-05-27). Carries forward the WIP that landed
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> in the baseline commit of this branch (pathfinder watchdog, reflex
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> metric-recovery, persistent skill metrics, new skills like `flee`,
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> `acquire-food`, `place-chest`, `sleep`).
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> Local-only repo — this file ships in the working tree but is not pushed.
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## Why v0.2.0
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The v0.1.x bot survives in the abstract — reflex chain, curriculum, modes,
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auto-improve — but on the live server it spent ~15 hours overnight in a tight
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death spiral (≈300 deaths, never moved off spawn, no tools, no progress).
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Three failure modes dominate:
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1. **No persistent knowledge.** Each tick reasons from scratch. The bot has
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no structured memory of "what I tried", "what worked", "what the recipe
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for X is", "what kills this mob". `scenarios.jsonl` is a forgetful
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sliding window keyed by a coarse situation hash, not a queryable store.
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2. **No coaching from failure.** A death is just a respawn event. Pi is
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never asked "why did I die, what should I do differently next time".
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Lessons aren't extracted and aren't recalled before the next attempt.
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3. **No outside knowledge.** The bot doesn't read the wiki, doesn't know
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that creepers need 4-block kite distance, that fists vs hostile at
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night is suicide, that bread is the cheapest renewable food.
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v0.2.0 fixes the substrate so future iterations get steeper progress per
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hour-of-runtime. The bot becomes Voyager-shaped: structured skill library +
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persistent learned-skill memory + post-mortem-driven self-improvement +
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retrieval-augmented decision making + free chat persona.
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## Pillars
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### 1. Structured knowledge base (SQLite)
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A single per-server `state/<host>/knowledge.db` (gitignored) with these
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tables:
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| Table | Purpose |
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|---|---|
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| `lessons` | Generalised lessons learned (one row = "don't attack hostiles at night without armor"). Pi extracts these from post-mortems and explicit incidents. Indexed by tag + situation key. Each lesson has `confidence` and `applied_count`. |
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| `recipes` | Crafting recipes (seeded from `docs/minecraft-recipes.json`, augmented by wiki). |
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| `mob_intel` | Per-mob behaviour: aggro range, drops, weakness, light requirement, "should we fight or flee" verdict. |
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| `block_intel` | Per-block: required tool tier, drops, light emission, walkable. |
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| `deaths` | One row per death event: ts, position, last skill, last hostile, hp/food at death, inventory loss summary, raw context blob. |
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| `postmortems` | One row per Pi-analysed death event: links to `deaths`, contains structured Pi output (`cause`, `lesson`, `next_action_suggestion`). |
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| `poi` | Points of interest: discovered ore vein, water, foreign build, danger zone. Spatial-grid indexed. Supersedes scatter in `world-journal.jsonl` for queryable retrieval; the journal stays as append-only event log. |
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| `wiki_pages` | Cached `minecraft.wiki` pages with TTL. `etag`, `body`, `fetched_at`. |
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| `chat_log` | Full inbound + outbound chat, structured (speaker, text, intent, replied_with). Supersedes the per-speaker LRU for long-tail player memory while keeping it as the fast in-process buffer. |
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| `code_changes` | Audit of every auto-patch the bot applied to its own code: file, diff hash, proposal slug, success/rollback. |
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SQLite chosen because: zero-config, perfect for single-process workloads,
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embeddable, queryable by humans (`sqlite3 state/.../knowledge.db ".tables"`).
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Migration: bundled `schema.sql` is applied idempotently on every boot;
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schema version row gates additive changes.
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**Graceful degradation:** if `better-sqlite3` isn't installed yet (fresh
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`git pull` without `npm install`), `runtime/knowledge/store.js` logs one
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warning and the knowledge subsystem becomes a no-op. The rest of the bot
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keeps working.
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### 2. Death post-mortem coach
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`runtime/coach/postmortem.js`:
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1. Hooks `bot.on('death')` (event already exists; the runtime currently
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only logs it).
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2. Captures the death-context bundle: last 30s of log/scenarios, last
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dispatched skill, last hostile name + position, inventory delta (lost),
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plan.md current line, recent world-journal events nearby.
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3. Inserts a row into `deaths`.
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4. Enqueues a Pi job (rate-limited, max N per hour) that asks:
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> Look at this death event. In ≤120 words: what was the root cause,
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> what generalised lesson should I remember next time I see this
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> situation, and what skill should I dispatch differently?
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5. Parses Pi's JSON reply into `postmortems` and `lessons`.
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Lessons are tagged by situation: hostile name, biome, day/night, HP bucket,
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inventory presence (weapon? armor?). At dispatch time, the curriculum
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reflex calls `lessons.recall({skill, situationHash, hostile})` and adjusts
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its plan if a high-confidence lesson is on point.
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### 3. Wiki crawler (Phase 2 of v0.2.0)
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`runtime/knowledge/wiki.js` — on-demand fetch of `minecraft.wiki/w/<Page>`
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pages with the global fetch API. Parses recipe + mob + block info heuristically
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(table-row scrape + targeted regex for hardness/light/drops). Respects
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robots.txt and adds `User-Agent: pepa-pi-bot (https://github.com/...)`.
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Pages cached in `wiki_pages` with 7-day TTL.
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Used by `recipes`, `mob_intel`, `block_intel` when the local DB misses.
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Triggered also by an explicit "go-learn" Pi suggestion ("look up phantom
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behaviour before you sleep tonight").
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### 4. Coach loop
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`runtime/coach/index.js` — a periodic out-of-band coach pass that runs
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every 30 minutes (configurable) and:
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- Reads the last N deaths, last N skill failures, last N hours of the
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world-journal, the active plan.md.
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- Asks Pi (one job, batched) to produce: lessons + plan adjustments +
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proposal hints.
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- Writes lessons to the DB.
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- If Pi recommends a plan change → patches plan.md (with a backup) and
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writes a diary entry explaining the change.
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- If Pi recommends code surgery → writes a `state/<host>/proposals/<slug>.md`
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file in the existing self-improvement format, so the auto-patch pipeline
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picks it up.
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This is the *proactive* counterpart to the reactive stuck-incident
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proposal. The bot is no longer waiting to be 5×-broken; it's reflecting
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every 30 minutes regardless.
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### 5. Persona — narration & lifelike chat
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`runtime/persona/chatter.js` — when the bot:
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- starts a major skill (gather, build, travel ≥ 50 blocks)
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- has a milestone success
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- spots a notable threat ("4 креперов рядом")
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- gets killed and respawns
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- spots a player nearby
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...it occasionally drops a single short Russian line in MC chat ("пошёл за
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деревом", "ох, креперы, прячусь", "доброе утро"). Heavily rate-limited
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(min 60s between lines, max 8/hour). Driven by simple templates + Pi
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fallback for novelty.
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`runtime/persona/look.js` (Phase 2 of v0.2.0) — `bot.look(yaw, pitch)`
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during idle to simulate a living player: glance at sky, look at speakers,
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look at target block before mining. Implemented as a low-priority
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"animation" reflex that fires only when no real action is dispatched.
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### 6. Retrieval-augmented dispatch
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Before dispatching a skill, the curriculum reflex now queries:
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```js
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const advice = knowledge.recall({
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skillId,
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situation: snapshot.situationHash,
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hostile: snapshot.threats[0]?.name,
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});
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```
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If advice contains a lesson with `confidence ≥ 0.6` and an explicit
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`avoid: skillId` directive, the skill is backed off (and the lesson's
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`applied_count` is incremented). If the lesson contains a `prefer:
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alternative_skill_id`, that alternative is dispatched instead.
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This is the loop that closes "I died yesterday in this exact spot
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attacking a creeper with fists" → "tonight I avoid attack and dig
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shelter instead".
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## Phases — what ships in which rc
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### v0.2.0-rc.1 (this branch)
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- [x] WIP baseline commit (pathfinder/reflex/metrics fixes).
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- [ ] This design doc.
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- [ ] `better-sqlite3` dep + `runtime/knowledge/{store,schema,seed,index,lessons}.js`.
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- [ ] Seed knowledge DB from `docs/minecraft-recipes.json` + the
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mob/biome/food/recipe tables in `docs/minecraft-knowledge.md`.
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- [ ] `runtime/coach/postmortem.js` — death event capture, deaths table,
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Pi-extracted lessons (initial version uses async one-shot, no batch).
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- [ ] `runtime/persona/chatter.js` — narration on death/respawn,
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gather-start, threat-spotted (templates only, no Pi yet).
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- [ ] Wire-in: `bot.js` calls `coach.attach(bot)` and
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`persona.attach(bot)` once on connect.
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- [ ] Tests for store, lessons, postmortem context capture, persona
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cooldowns.
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### v0.2.0-rc.2
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- [ ] Wiki crawler with cache + parser.
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- [ ] Retrieval-augmented dispatch (curriculum + dispatch hooks).
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- [ ] `runtime/persona/look.js` — head movement.
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- [ ] `runtime/coach/index.js` — periodic batched Pi pass.
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### v0.2.0 (final)
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- [ ] Tune rate limits + thresholds with real data from the prior weeks.
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- [ ] Cross-server lesson abstraction (raw → committed `skills/<name>.md`
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when applied repeatedly across situations).
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- [ ] Roadmap update.
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## Out of scope for v0.2.0
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- Cross-server identity (still per-host).
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- Telegram bridge (Phase 4 in roadmap).
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- Voice/avatar mimicry beyond chat narration.
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- PvP/grief tooling.
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## File layout (new)
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```
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plans/
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v0.2.0-self-learning.md (this file)
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runtime/knowledge/
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store.js better-sqlite3 gateway, schema bootstrap
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schema.sql DDL (versioned)
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seed.js load docs/minecraft-recipes.json + mob_intel rows
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index.js public API: recall(), record(), lookupRecipe(), …
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lessons.js lesson tag-matching, scoring, retrieval
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wiki.js (rc.2) on-demand wiki fetcher
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runtime/coach/
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postmortem.js on death → capture → DB → enqueue Pi
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index.js (rc.2) periodic batched coach pass
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runtime/persona/
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chatter.js proactive narration
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look.js (rc.2) head movement
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```
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## Compatibility / safety
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- All new modules: side-effect-free import (no top-level network, no DB
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open). Attach via explicit `.attach(bot)` calls in `bot.js`.
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- DB writes are best-effort (try/catch). A broken DB never crashes the
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reflex loop.
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- Pi calls from the coach respect the existing 6-per-hour banter limit
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via a shared rate-limiter (`runtime/pi-budget.js` — new tiny module).
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- Chat narration respects existing `cmd:chat` rate limits + dialog-only
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policy: it's `bot.chat()` calls, no command verbs.
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- All new tables in `state/<host>/knowledge.db` are gitignored via the
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existing `state/` rule.
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