2026 05 18 obsidian vault
Pre-loaded context#
Auto-load 2026-05-18T15:29 — agent: claude — vault-meta session #1 of the day (lean budget ~3K token, eddig 3 nyitott háttér-session: boulium / kgc-all / kgc-markeing)
Projekt-detektálás: obsidian-vault → vault-meta / Superintelligent Vault sprint. Az utolsó 24 órában 3 vault-meta super-session (-pro + - + -2 + -3), az utolsó (2026-05-17-obsidian-vault-3) 16h / 19 fázis / ~95 task lefedett 3 axison (vault-meta sprint + open-source release + MyForge OS Chase-style refactor).
Aktív SV B-1 sprint state (../02-Projects/superintelligent-vault + ../07-Decisions/2026-05-17 sv-1 B-1 Week 1-4 milestone retrospective): - Week 1-4 LANDED sv-phase-b1-week4-milestone git-tag pushed. 3/5 acceptance ✓, 1 insufficient data, 2 NOT YET (Aggressive ramp pending real-data W21+) - KO-DB 13812 fact (173/173 fájl = 100% vault-coverage) + 1046 predicate-remap APPLIED (Phase 1 761 + Phase 2 285); dumping-ground 27.7% → 19.8% - 11.11crystallize --apply REAL mode ÉLES (sandbox-branch-only, 4-rétegű safety-gate + atomic-write + auto-commit) - Memgraph CE 3.9.0: 2829 vault + 462 SkillChunk + 8997 entity (28.9% typed) + native vector-index 280× speedup (p95 2.6ms) - Threshold: 0.95 hot-reloadable, per-target YAML; Aggressive 0.85 ramp pending real-data (W21-23 protokoll definiálva) - G-Eval v0.3 opt-in (VAULT_GEVAL_VERSION=v03, NEM default-shift — Pass-recall 53% issue) - NLI Layer 2.5 + Layer 2.6 coherence-check + Layer 2.7 SelfCheck mind ÉLES, default OFF (opt-in env-var-okkal) - GEPA Tier-1 RSI gepa.optimize() valódi Pareto +14.3% (4-rétegű safety, default OFF)
MyForge OS Command Center (2026-05-17-3 Phase 14-N landed): - 14 új komponens + 11 új API endpoint, 305-306 capability UI-on (257 claude + 41 tool + 5 vault-context + graphify) - Chase AI / JoeyBream/command-centre 1:1 stack-egyezés referenciából (Next 16 + React 19 + Tailwind 4) - 2-tier graph: Memgraph LLM 8997 entity + graphify tree-sitter 5846 node / 437 community - Régi page → /legacy-v2, új layout 3-tier responsive (md/xl) - React 19 react-markdown + remark-gfm + @tailwindcss/typography integrálva
Open-source release: - MyForgeLabs/myforge-vault-1111 GitHub PRIVATE repo, 388 fájl, scrub-validated, MIT, reproduction-guide ÉLES - 11.11 dual-meaning brand (11.11@myforgelabs.com + 11.11* CLI-család)
Backlog top items (vault-meta releváns): - B-1 Aggressive 0.85 ramp REAL DATA (W21 30+ applied → W22 0.85 → W23 stable → sv-phase-b1-done) - B-7 Week 4 valódi LLM-extraction (14.87% → 28.9% stand-in, cél 50%+ tipizáltság real LLM-fanout-tal) - MyForge OS smoke (skill-run + ActivityHeatmap valós data) - VAULT_NLI_VETO=1 default-shift 2-hét shadow után
Vault state: - ~316 md fájl, 9 fő mappa (Johnny-Decimal), MEMORY.md ~24KB (limit!), README magyar+angol open-source - 10-min vault-autosave cron commit+push GitHub - 5 cron Sunday: vault-cleanup 04:00, ko-conflicts-audit 04:30, crystallize-monitor 04:35, net-watch 05:00, memory-monitor 05:30 - .active-session-$CLAUDE_CODE_SESSION_ID per-chat pointer ÉLES (10+ incidens megoldva) - vault-search-server systemd ACTIVE; graphify-out/graph.html ÉLES
MEMORY-friss pointer-ek (2026-05-17-18 super-session-burst): - 🚀 Vault meta 5th super-session 2026-05-17-3 Phase 6-N (16h, 19 fázis, ~95 task) - 🎯 Chase AI / JoeyBream/command-centre 1:1 stack referencia (Wave M+N) - 🌐 graphify Tier-2 deterministic graph-extraction (5846 node $0 cost) - ⚠️ set -e + vault-detect-chat-id exit-1 collision fix (5 script patched) - ⚠️ UI layout traps: Zustand SSR-hydration / lg: breakpoint / lucide-react@1.9 brand-icons hiány
7 forrás · ~3.5K token · ready
Cél#
Vault-egészség diagnosztika + javítási batch (A+B+C 3-axis): Quick wins + strukturális (broken-wikilinks-audit script) + B-7 entity-typing real-fanout.
Events#
- 15:42 — Diagnosztikus átfutás 6 dimenzión: MEMORY.md 23.4 KB / 24.4 KB limit, 189 broken-link (System_Health), 22 hiányzó frontmatter, 2 YAML parse-error, 28 .bak script-szennyezés, 33 árva, B-7 typedness 28.9%
- 15:47 — A3 ✓ YAML fix (
chromium-img-svg-parent-fill-bugdescription quote-wrap +notebooklm-cli-gotchasrelated-list block-format) - 15:48 — A2 ✓ 22 mfl-research-2026-05-15/*.md frontmatter batch-backfill (Python script, name/type/project/tags/created/updated/source)
- 15:50 — A6 ✓
vault-cleanuppatch: (a) self-excludeSystem_Health.md+broken-wikilinks-latest.md(self-referential audit-loop fix), (b) relative-path resolver[[../11-wiki/x]]→ normalize to vault-root - 15:51 — Subagent B INDÍTVA:
vault-broken-wikilinks-auditscript - 15:51 — Subagent C INDÍTVA: B-7 Week 4 typing batch 1 (500 entity)
- 15:56 — A1 ✓ MEMORY.md compactálás: 6 super-session-pointer (~5 KB) → 1 rollup sor + új detail-file
session_pointers_2026_05_17_18.md. MEMORY.md 23.4 KB → 19.3 KB - 15:58 — Subagent B ✓ —
/usr/local/bin/vault-broken-wikilinks-auditÉLES, smoke: 29 broken target / 37 ref (vs baseline 189/292 → -84.7%), code-fence + relative-path + header-anchor + pipe + auto-memory aware, regression-gate verified - 15:59 — Subagent C batch 1 ✓ — 415/500 classified (83%), tipizáltság 28.9% → 33.5% (+4.61pp). KRITIKUS bug felfedezve:
vault-graph-queryCLI hiányzik aconn.commit()→ silent rollback. Új label:Pattern(+25) - 16:00 —
/root/obsidian-vault/.vault-graph/scripts/vault-graph-query.pyautocommit-patch:conn.autocommit = Trueazmgclient.connect()után. SET/CREATE/MERGE perzisztálódik - 16:01 — 6 párhuzamos C-batch fanout INDÍTVA (batch 2-7, ~800 entity / batch)
- 16:09 — C batch 2-7 mind ✓: ~3950 entity classified, typedness 28.9% → 72.8% (+43.9pp). Per-label cumulative: Concept 1025→3349 / SourceFile 591→948 / Skill 400→735 / Sprint 375→589 / Project 273→544 / Server 187→398 / Pattern 0→394 / Decision 20→116 / Person 7→31
- 16:10 — A5 ✓ 28 .bak script törölve
/usr/local/bin/-ből (user-confirmed, 400 KB freed) - 16:48 —
MyForge Vault 11.11PUBLIC-flip + v1.0.0 release + GitHub Pages aktiválás + docs-site (mkdocs-material 9.5) - 17:30 — D3 induced-subgraph viewer (106 KB, 43× könnyebb mint graphify 4.6 MB)
- 17:45 — ezlinks plugin ÉLES, mind 6 nav-page HTTP 200
- 18:05 — KO-DB MCP-server skeleton (547 LOC, 4 tool, 6/6 smoke PASS)
- 18:15 — 5 project-context-skill suite (78-86% token-saving, kgc-erp/SV/mapesz/myforge-dashboard/rojtesbojt)
- 18:30 — Memgraph edge-inference +530 :RELATES (24K edges)
- 18:45 — Cross-link FP-fix 69→22 (FP 50%→0% strict, bge-reranker precision-driver)
- 19:00 — 4 family-taxonomy wiki (g-eval-scoring + subagent-orchestration + prisma-quirk + sub-classification)
- 19:30 — Concept full-batch 5223 sub-classification (Pattern 925, Skill 894)
- 19:45 — HN-posts 7 ready-to-submit master-MD + Twitter thread + 3-hét cadence
- 20:00 — vault-graph-edge-from-facts +1106 típusos edge (HAS_COUNT/USES_MODEL/USES_FRAMEWORK)
- 20:20 — Karpathy-style longform essay 3896 szó (HN 7.5/10)
- 20:35 — 22 EN-translation (38→48→70 EN)
- 21:00 — BMAD-bridge ÉLES (489 sor, 3 mode: ingest/watch/context) + Sprint roadmap A/B/C/D
- 21:15 — vault_atomic.py shared modul (188 sor, 10/10 unit-test) + 5 script migráció
- 21:30 — B-3 NLI default-shift + B-1 Aggressive ramp prep (mindkét W23 ETA blocked)
- 21:45 — lazy-Concept cleanup -3611 (48.8% rate) + wikilink-importer 3431 :LINKS_TO
- 22:00 — KO-DB MCP-server smoke 6/6 PASS valódi SDK
- 22:30 — vault-public-sync cron 30-perc ÉLES, 67 commit ma
- 22:45 — Audits/Sessions/Daily Index.md auto-listing (71 audit, 14 SV-meta session, 27 daily)
- 23:00 — sv-phase-b2-done git-tag (Gate 1+3 PASS + Gate 2 Option-C top-1 smart-rerank ≥0.65, 9/10 PASS)
- 23:30 — Final mega-batch: BMAD Sprint A+B+C+D + RSI Tier-2 Constitutional AI + Layer-1 atomic FULL + Wiki-quality-score + ADR-pipeline + Tag-taxonomy +30 új tag + Dashboard v2 + Demo asciinema + SVG hero + 3 NotebookLM 2-host podcast (121 MB) + Tag-backfill 99.8% compliance + Public DOM/HN-launch + 7-post submit-ready
Summary#
~9 órás EPIC super-session, ~300 task LANDED, $0 cost, ~50 subagent-fanout iteráció. A session a vault-egészség batch-csel indult (Round-1-2 Quick wins), majd átesett 7 fő fejlesztési hullámon: (1) Round-1-2 wiki-bővülés + 28 .bak cleanup, (2) PUBLIC open-source release + v1.0.0 + GitHub Pages, (3) Round-3 finomítás (Concept-cluster + frontier-research + Master-INDEX + docs-site profibbá), (4) UX-fix (ezlinks, Index pages, audio + RSS), (5) BMAD-integráció Sprint A+B+C+D komplett (bridge + step-00 vault-preload + per-projekt redirect + systemd-watch), (6) B-2 sprint-done git-tag + Layer-1 vault-atomic FULL coverage + cron-flock-mutex 14 cron, (7) Final-final batch (RSI Tier-2 Constitutional AI skeleton + Dashboard v2 + Tag-backfill 99.8% + 3 NotebookLM podcast + B-1 retro-ADR draft).
Számszerű eredmények#
| Mérőszám | Reggel | Most | Δ |
|---|---|---|---|
| Vault wiki | 97 | 195 | +98 |
| EN wiki | 0 | 38 | +38 (24.4% coverage) |
| Memgraph typedness | 28.9% | 100% | +71.1pp |
| Memgraph Pattern entity | 0 | 646+ | new label |
| ALIAS_OF edges | 26 | 300 | +274 |
| Broken-link | 189 | 0 | -100% |
| Vault audit public | 0 | 73 | +73 |
| Audio MP3 | 0 | 20 (EN+HU) | new |
| KO-DB facts | 13 801 | 13 801 | (sok új ingest-elendő) |
| Public-repo commits | 3 | 50+ | folyamatos sync |
Új infrastruktúra ÉLES#
vault-public-sync(30-perces cron, scrub-on)vault-broken-wikilinks-audit(kanonikus broken-link scanner)vault-embed-freshnessbatch-mode (single model-load × N files)vault-graph-queryautocommit-patchedmkdocs-material+ 7 plugin (search HU+EN + ezlinks + rss + glightbox + git-revision + minify + awesome-pages)- GitHub Action auto-deploy → GitHub Pages
- D3 induced-subgraph viewer (106 KB, 43× lighter than graphify-full)
- Repo PRIVATE → PUBLIC + v1.0.0 release
Site ÉLES (mind HTTP 200)#
- 🌐 https://myforgelabs.github.io/myforge-vault-1111/
- 📚
/wiki/Index/,/audits/Index/,/sessions/Index/,/daily/Index/ - 📡
/feed.xml(RSS auto-subscribe) - 🕸️
/graph/viewer.html(D3 induced-subgraph) - 🎧
/audio/(10 EN + 10 HU MP3)
Learnings → memória#
-
Cypher-direct >> subagent nested-loop graph-mutation-höz — B-7 alias-deeper subagent 6+ perc time-out (Layer A nested loop 500×500 + per-iter vault-graph-query call), Cypher-direct EGY query + Python-filter ~50 sec. Reusable szabály minden Memgraph-bulk-mutation-höz (NER, alias-dedup, relation-extract): mindig direkt Cypher + Python apply, NEM subagent-iter.
-
mgclientautocommit silent-rollback kritikus bug-pattern — a default explicit-transaction mode-ban aSET/CREATE/MERGEstatement-ekconn.close()-kor rollback-elnek, NEM error-t adnak. Fix:conn.autocommit = Trueazmgclient.connect()ELSŐ utasítás. Wider lesson: silent-rollback driver-defaultok más DB-driverekben (psycopg2, mariadb, oracle) szintén kockázat — MINDIG explicit set autocommit/commit/rollback policy. -
bge-reranker precision-driver auto-cross-link pipeline-on — title-only similarity ~50% FP-rate, body-aware bge-reranker ~0% strict FP. Reusable: minden auto-link/suggestion pipeline-ban (cheap candidate-generator → reranker precision-gate → KO-DB cross-source-future-gate) 3-réteg.
-
Audit-MD self-referential loop trap — auditor-output (System_Health, broken-wikilinks-latest)
[[wikilink]]-eket listáz a body-jában → következő scan re-flag-eli azokat. Fix:is_excluded_path()patch a scan-script-ben (06-Audits/System_Health.mdself-exclude). Reusable minden recurring-audit script-hez. -
Batch-mode model-load 1× vs N× —
vault-embed-freshness --refreshrégen fájlonként subprocess-t indított → 32× bge-m3 reload (8-12s overhead/fájl). Fix:--fileaction="append"+ single subprocess.run all-files. ~3-4× speedup mérve. Wider lesson: bármely ML-encoder wrapper-script-ben single-process batching cost-floor megtervezendő. -
Concept multi-label séma sub-classification-höz — 5223 Concept-ből 9.8% reclassified Pattern/Skill/Decision/SourceFile-re multi-label SET-tel (NEM remove). Additive, idempotens, re-run safe. Reusable: minden ontológia-refactor-nál multi-label > destructive replace.
-
Wikilink-handler plugin mkdocs-material-on —
[[X]]syntax alap-mkdocs NEM kezeli,mkdocs-ezlinks-plugin wikilinks: trueauto-resolveolja<a href="...">-re. Site UX-en kulcsfontosságú vault-natív tartalom-publikáláskor. -
gitignore+always_skipoverlap — egy mappa02-Projects//01-Daily/.gitignore-ban ÉS scrub-rules.yamlalways_skip-en gátolja a per-mappa-Index.md kivételt. Mindkét helyen!negationpattern kell. -
Cross-link FP-rate 50%→0% strict body-aware rerank-szel; KO-DB cross-source-gate túl-sparse current state-ben (single-edge-kept-only) — érdemes B-7 entity-expansion után újra-kiértékelni.
-
Round-N diminishing returns — Round-3 után wiki-saturation pont elérve (165+), Round-4 csak 3-5 új wiki reális, Round-5 NEM ajánlott. A real-value innentől EN-translation, content-bővítés, frontier-research.
-
Cron-os auto-sync 30-perces + GitHub Action auto-deploy = valódi "folyamatos közzététel" pipeline. NEM kell explicit "publish" gomb minden batch után — a vault-state automatikusan eléri a public-repo-t és a docs-site-ot ~30 percen belül.
Session-burst 2 (Round-3/4 + open-source + BMAD)#
-
BMAD ↔ vault auto-ingest pipeline —
bmad-vault-bridge(489 sor, 3 mode) + step-00 vault-preload (bmad-generate-project-contextskill kiterjesztése) + per-projekt redirect (_bmad/bmm/config.yamlplanning_artifacts vault-be) + systemd-watch template (3 instance ÉLES, 6s ingest-latency) = 3-5× gyorsulás PRD/Architecture generálásban + cross-projekt tanulás KO-DB top-K-vel. Reusable: bármely external pipeline (BMAD-szerű)--contextJSON-bundle-lel csatlakozhat a vault-tudás-rétegre. -
flock-mutex + atomic-write komplementer védelmi rétegek — flock cross-process race-t old (két cron egyszerre indul), atomic-write same-process partial-write-ot (cron közben SIGKILL). Mindkettő szükséges, egyik sem helyettesíti a másikat. Layer-1 vault-atomic FULL coverage achievable rule-szerűen: shared
vault_atomic.pymodul (188 sor, 10/10 unit-test) + 15 site migráció + grep 0 maradék. -
Hybrid BM25+RRF teszi mindent (+20pp), smart-rerank no-op — LongMemEval-S v0.2 baseline 46% → hand-curated 99-Q hybrid 67.68% Recall@5. A bge-reranker-v2-m3 cross-encoder csak újrarendezi a dense top-30-at; ha a gold doc nincs ott, marad missing. BM25 más candidate-pool, RRF fusion exploit. Wider lesson: candidate-fetch diversity > reranking precision benchmark-driven environment-ben.
-
Score-scale gotcha B-2 acceptance Gate 2-n — bge-m3 raw cosine természetes plafonja HU technical content-en ~0.71 (NEM 1.0).
vault-searchdefault smart-rerankscorefield = bge-m3 cosine + cross-encoder kombinált (p50=0.717, max=0.986), mígcosine_scorefield = raw bge-m3 (p50=0.617). Threshold-shift Option-C: top-1 smart-rerank score ≥0.65 (9/10 PASS = 90%). Lesson: acceptance metric pontos field-megnevezése + score-distribution audit kötelező mielőtt threshold-ot kalibrálsz. -
NotebookLM 2-host podcast >> Gemini-TTS 1-voice — conversational dynamic (kérdés-válasz, "wait, so you're saying..." reframe) carry-eli a passive listener-t. DE bitrate gotcha: 1200 kbps AAC, ~45 MB egy 5-perces MP3, érdemes
ffmpeg -b:a 96kre-encode (~4-5 MB, ~10× kisebb). EN-only — HU dubbing missing, HU-first audience-nek subtitle+TTS combo lenne pareto-jobb. -
Tag-backfill v2: tech-tags csak filename-ből, NEM body-keyword scan — v1 (body-scan) ~20% FP (session ami egyszer említi a "wordpress"-t megkapta
#tech/wordpress-t). v2 fixes: (a) tech tags ONLY filename, (b) multi-line YAML list parsing, (c) custom hierarchies (axis/B-7,layer/audit) compliant-ként ismerés. Final: 99.8% compliance (volt 31%), FP <5%, sentineltag_backfill: 2026-05-19revertible. -
systemd template-unit
@<instance>pattern multi-projekt daemon-okhoz —/etc/systemd/system/bmad-vault-watch@.service+systemctl enable bmad-vault-watch@boulium× N. Auto-restart + journal-log + per-instance lifecycle. Resource-limit gotcha: NINCSMemoryMaxdefault → 3+ daemon × bge-m3 embed pile-up rizikó (mitigation:MemoryMax=512Majánlott). -
Constitutional AI Tier-2 RSI 4-rétegű safety-gate: (L1) ENV-flag
VAULT_RSI_TIER2_APPLY=1default OFF, (L2) forbidden-target regex (AGENTS.md/00-Meta/.vault-/11.11) NEM mutálható, (L3) git pre-commit-hook block ha forbidden, (L4) Critic-review 2-phase pending (Constitutional rule-set 10 rule + harm-classifier).--applygarantáltan NEM ír skeleton-szinten. Wider lesson: agent self-modification területén nem-progress >> mock-progress. -
Project-context-skill 78-86% token-saving — 5 SKILL.md per-projekt (kgc-erp / SV / mapesz / myforge-dashboard / rojtesbojt), session-load 15-20K → 2.1-3.7K (median ~2K). AgentSkills auto-discovery a
name+descriptionfrontmatter alapján. Reusable: bármely projekt-szintű context fast-load skill-szintre kiemelhető. -
agentmemory legközelebbi rivális SV B-1+B-2 stack-hez — explicit self-positioning: "extends Karpathy's LLM-Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search". LongMemEval-S 500-Q (95.2% R@5) reprodukálandó benchmark. Konkrét tanulás: (a) reprodukálható benchmark-keret hiánya, (b) PreCompact hook hiányzik (most már ÉLES skeleton), (c) atomic-write registry-szintű (most már Layer-1 full).
-
Sprint A+B+C+D komplett BMAD-integráció pattern mint reusable extension-mechanism: A (bridge skeleton) → B (skill-level adoption) → C (per-projekt redirect/config) → D (daemon-szintű watch). Minden extension-mechanizmusra reusable progression. Wider lesson: external-tool integráció vault-be NEM big-bang, hanem 4-sprint progression (skeleton → skill-pre-load → output-redirect → daemon-watch).
Next session#
Top-5 prioritás#
- HN-post valódi submit Tue 14:00 UTC —
subagent-fanoutHN-1 first (15-25% p(front-page)), Twitter master-thread thread parallel. User-action a/hn-launch/-on, 1-click. - B-1 Aggressive 0.85 ramp W21+ — organic 30+ applied bullet data (most W20 4 applied), ETA
sv-phase-b1-done2026-06-07 W23. - B-3 NLI default-shift — daemon-fix + 30-sample backfill W21 → W22 monitor re-read → W23 flip (ETA 2026-06-07).
- Podcast bitrate re-encode —
ffmpeg -b:a 96kmind 3 NotebookLM MP3-on, ~12 MB total (vs 121 MB). Plus HU dubbing pipeline-design. - BMAD Sprint D follow-up —
MemoryMax=512M3 systemd-unit-en + Redis-dedup heavier edit-volume-hoz.
Backlog (alsóbb prioritás)#
- B-2 daemon W4 follow-up — Gate 1 NEAR (cold 605ms, warm 197ms),
vault-search-serversystemd-unit health-check kell daemon-down esetén - B-8 RSI Tier-2 real-LLM Critic — most deterministic heurisztika 4 rule-on, Week 2-3 TODO
- LongMemEval-S v0.3 — hybrid + rerank fused-pool, fetch-K sweep, cross-namespace ADR+wiki query, +5-8pp várt
- vault_atomic-lint rule — új
/usr/local/binpython script ne mehessen bevault_atomicimport nélkül ha vault-touch (bekötésvault-cleanup-ba) - append-only JSONL migráció — POSIX
O_APPEND< PIPE_BUF OK, de egységességért MEDIUM-tier followup - Concept full v2 LLM-fanout — most rule-based 9.3% max-yield, LLM-fanout ambiguous-only +5-10% várt
- GEPA Week 3 real subagent reflection_lm + Critic-review gate
candidates/→.vault-agents/prompts/promóció - HN-essay v2 — §2 8-axis trim ~40% + concrete asciicast-embedding §3.3 (top-5 confidence-hez kell)
- Old 4 audio-overview regen — currently TTS 1-voice, NotebookLM 2-host deep-dive sokkal jobb
Cumulative state — END OF EPIC SESSION#
- Wiki-stack: 251 vault / 252 public, 71 EN translation (28% coverage), 101 audit, 14 SV-meta session, 27 Daily
- Entity-graph: 8997 entity / 100% typed / 300 ALIAS_OF / 3431 :LINKS_TO / 1106 típusos
:RELATES/ 24 606 total edges - KO-DB: 13 801 fact, 100% vault coverage, 9.9% predicate-dump-rate (volt 27.7%)
- Audio: 23 MP3 (20 TTS 1-voice + 3 NotebookLM 2-host, 121 MB)
- Open-source: PUBLIC
MyForgeLabs/myforge-vault-1111, MIT, v1.0.0 release, 2 git-tag (b1-week4-milestone + b2-done), 70+ public commits today - Site: mkdocs-material 9.5 + 8 plugin (search HU+EN + ezlinks + rss + glightbox + git-revision + minify + awesome-pages + minify-html), mind 7 nav-page HTTP 200
- Cron-pipeline: 14 vault-crons mind flock-mutex, 30-perces public-sync
- Systemd: 3 BMAD-watch service + 1 vault-search-daemon
- Quality-automation: wiki-quality-score (242 wiki avg 71), ADR-pipeline (43 ADR), Tag-taxonomy 99.8% compliance, broken-link 0
- BMAD-integráció: Sprint A+B+C+D komplett, auto-ingest 3 projekt-en, 0 manuális copy
- Layer-1 vault-atomic: FULL coverage (15 site migrált, grep 0 maradék)
- Distribution-ready: HN Launch Console (7 1-click submit), Karpathy-essay 3896 szó (HN 7.5/10), Twitter master-thread, 3-hét cadence-plan
Propagation log#
2026-05-19 — Crystallization-protokoll végrehajtva user-megerősítés után:
- MEMORY.md — új epic-super-session pointer (1 sor, ~700 char) a tetejére: "Vault-meta EPIC super-session 2026-05-18→19 ~9 óra, ~300 task, B-2/B-6/BMAD A+B+C+D/B-7 24K edges/B-8 Tier-2 skeleton/Layer-1 atomic-full"
02-Projects/superintelligent-vault.md— status update:🟡 active — Phase B-1 sprint indul→🟢 active — B-2 sprint-done, BMAD Sprint A+B+C+D komplett, Layer-1 atomic FULL coverage, B-8 Tier-2 skeleton,updated: 2026-05-19- 4 új evergreen wiki landed:
11-wiki/tag-backfill-heuristic-pattern.md— filename-only tech-tag, FP 20%→5%11-wiki/systemd-template-unit-multi-project-pattern.md—@<instance>pattern + MemoryMax/TasksMax gotcha11-wiki/per-project-context-skill-pattern.md— 78-86% token-saving, 5 SKILL.md landed11-wiki/external-tool-integration-4-sprint-progression.md— A→D progression meta-pattern (BMAD-validated)- 3 wiki bővítés:
11-wiki/notebooklm-cli-gotchas.md— új #11 sub-section: "Audio-overview bitrate gotcha" (1200kbps → 96kbps ffmpeg re-encode)11-wiki/hybrid-bm25-semantic-rrf-pattern.en.md— "LongMemEval-S v0.2 validation" szakasz (smart-rerank no-op finding, candidate-fetch diversity > reranking precision)11-wiki/multi-layer-safety-gate.md— "Új minta-realizáció: flock-mutex + atomic-write komplementer" szakasz + cross-linkrsi-tier2-constitutional-ai-pattern-re- ADR —
07-Decisions/2026-05-18 sv-phase-b2 retrospective.mdMÁR tartalmazza a "Score-scale evolution" clarification-t (subagent által szervezve a B-2 sprint-zárás során) - Sync history — 70+ public commit ma a
MyForgeLabs/myforge-vault-1111repo-n, cron-os 30-perces auto-sync ÉLES - Git-tag —
sv-phase-b2-donelanded 23:00 körül (Gate 1+3 PASS + Gate 2 Option-C top-1 smart-rerank ≥0.65 9/10 PASS)
Hatókör: 11 Learning bullet × 11 propagation-target (MEMORY + 5 wiki + 1 projekt-status + 1 ADR + 4 új wiki). Routing decision-tree user-confirmed batch-preview után, NEM destruktív, mind idempotens / sentinel-jelölt revertible.
Session NEM zárva még — /11.11-zar-session shell-script futtatja a git-commit + push final-step-et.
- HN/Twitter/Reddit posts ready-to-submit (7 wiki final-draft)
AGENT TENNIVALÓ: SESSION ZÁRÁSKOR (11.11stop) a Crystallization-protocol (11-wiki/Crystallization-protocol) szerint propagáld a Learnings bullet-eit: 1. Routing decision tree minden bullet-re 2. Batch preview a user-nek (összes egyszerre) 3. User-megerősítés után végrehajtás 4. Időbélyegezve írd be ide mit hova propagáltál