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18
Commits
| Author | SHA1 | Message | Date | |
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b5fa3d044a |
fix: 8 root-cause fixes from /investigate (v0.14.2) (#259)
* fix: 8 root-cause fixes from /investigate wave
Consolidated bundle of bug fixes from /investigate on the 8 deferred bugs.
Each fix was designed to go at the structural gap, not the symptom. Codex
verified 20 load-bearing claims on the plan; 12 triggered plan revisions.
Bug 2 — GBRAIN_POOL_SIZE env knob + init finally blocks (no auto-detect).
Covers both the singleton pool (db.ts) and instance pool (import.ts:140).
Bug 3 — Centralize migration ledger writes in apply-migrations runner.
Removed appendCompletedMigration from v0_11_0, v0_12_0, v0_12_2,
v0_13_0, v0_13_1. Added 3-partial wedge cap + --force-retry reset.
'complete wins' preserved; no partial can regress a completed migration.
Bug 5 — v0.14.0 migration registered. src/commands/migrations/v0_14_0.ts
ships Phase A (ALTER minion_jobs.max_stalled SET DEFAULT 3) + Phase B
(pending-host-work ping for shell-jobs adoption).
Bug 6/10 — jsonb_agg(DISTINCT ...) in legacy traverseGraph (both engines).
Presentation-level dedup; schema still preserves provenance rows.
Bug 7 — doctor --fast reads DB URL source via getDbUrlSource() in config.ts.
Precise message: 'Skipping DB checks (--fast mode, URL present from env)'
replaces the misleading 'No database configured'.
Bug 8 — max_stalled default bumped 1→3 in schema-embedded.ts, pglite-schema.ts,
schema.sql (new installs). v0_14_0 Phase A ALTER for existing installs.
autopilot-cycle handler yields to event loop between phases so the
worker's lock-renewal timer fires on huge brains. (Deep AbortSignal
threading through runEmbedCore/runExtractCore/runBacklinksCore/performSync
deferred to v0.15 queue polish.)
Bug 9 — Gate sync.last_commit on no-failures across all three sync paths
(incremental, full via runImport, gbrain import git continuity).
recordSyncFailures() helper + ~/.gbrain/sync-failures.jsonl with
dedup key path+commit+error-hash. New flags: --skip-failed (ack) +
--retry-failed (re-attempt). Doctor surfaces unacknowledged failures.
Bug 11 — brain_score breakdown fields on BrainHealth (embed_coverage_score,
link_density_score, timeline_coverage_score, no_orphans_score,
no_dead_links_score); sum equals brain_score by construction.
dead_links now on the type (resolves featuresTeaserForDoctor drift).
orphan_pages kept as 'islanded' (no inbound AND no outbound) and
docs updated to match — explicit semantic instead of doc drift.
New tests: test/traverse-graph-dedup.test.ts, test/sync-failures.test.ts,
test/brain-score-breakdown.test.ts, test/migration-resume.test.ts,
test/migrations-v0_14_0.test.ts. Extended: migrate, doctor, apply-migrations.
All 1696 unit tests pass locally. postgres-jsonb E2E regression unchanged
(none of these touch the JSONB write surface).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: v0.14.2 CHANGELOG + CLAUDE.md; align migration-flow E2E with runner-owned ledger
CHANGELOG: v0.14.2 entry in the standard release-summary format
(two-line headline + lead + numbers table + "what this means" +
"To take advantage of v0.14.2" self-repair block + itemized
changes grouped by reliability / observability / graph correctness /
new migration / tests / deferred-to-v0.15).
CLAUDE.md: new "Key commands added in v0.14.2" section covers
--skip-failed, --retry-failed, --force-retry, GBRAIN_POOL_SIZE env,
and the new doctor checks (sync_failures, brain_score breakdown).
Migration orchestrator docs updated to describe v0_14_0.ts + the
runner-owned ledger contract from Bug 3.
test/e2e/migration-flow.test.ts: three assertions updated to match
the Bug 3 contract — orchestrators no longer append to completed.jsonl
directly, so direct-orchestrator E2E calls leave the ledger empty.
Preferences assertions remain (that's still the orchestrator's side
of the contract). Runner's ledger write is covered by the unit suite
(test/apply-migrations.test.ts + test/migration-resume.test.ts).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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c22ca84772 |
feat: v0.13 frontmatter relationship indexing — YAML becomes typed graph edges (#231)
* feat(schema): links provenance + engine plumbing (v0.13)
Adds link_source, origin_page_id, origin_field columns with
UNIQUE NULLS NOT DISTINCT constraint + CHECK constraint. New indexes
on link_source + origin_page_id.
migrate.ts v11 handles idempotent upgrade path for existing brains.
Both engines: addLink/addLinksBatch threads new columns (4→7 col
unnest). removeLink gains linkSource filter. getLinks/getBacklinks
return new columns.
New engine method findByTitleFuzzy(name, dirPrefix?, minSim?) uses
pg_trgm % operator + similarity(). Drives the v0.13 resolver's
fuzzy-match step with zero LLM/embedding cost.
* feat(graph): frontmatter edge extraction + slug resolver (v0.13)
Canonical FRONTMATTER_LINK_MAP: field → type + direction + dir-hint
for 10 frontmatter patterns (company/companies, key_people, investors,
attendees, partner, lead, founded, sources, source, related/see_also).
Direction semantics: "incoming" means resolved value is the FROM side
so subject-of-verb reads naturally (pedro → meeting, not backwards).
makeResolver(engine, {mode}) — two-mode resolver:
batch (migration): slug → dir-hint → pg_trgm. NEVER hits search.
live (put_page): + optional search fallback with expand=false
(dodges hidden Haiku per operations-query learning).
Per-run cache: same name → single DB lookup.
extractFrontmatterLinks handles arrays-of-objects (investors:
[{name: 'Sequoia', role: 'lead'}]), skips bad types silently,
tracks unresolved names for the summary report.
extractPageLinks is now async. LinkCandidate gains fromSlug,
linkSource, originSlug, originField. Returns {candidates, unresolved}.
22 new tests: field-map coverage, direction semantics, source vs
sources, resolver fallback chain (batch + live), cache hit, bad
types skipped, context enrichment, FRONTMATTER_LINK_MAP integrity.
* feat(auto-link): bidirectional reconciliation + unresolved response
put_page auto-link post-hook now handles incoming-direction frontmatter
edges. Reconciliation splits candidates into out (fromSlug === slug)
and in (fromSlug !== slug — frontmatter fields like key_people on a
company page emit person → company edges).
Safe reconciliation via origin_page_id scoping: we only touch
link_source='frontmatter' edges where origin_slug = the page being
written. Markdown + manual edges survive untouched. Edges created
by OTHER pages' frontmatter also survive.
put_page response extends auto_links with unresolved: Array<{field,
name}>. Agents writing attendees: [Pedro, Alex] where Alex doesn't
resolve see it in the response and can queue for enrichment.
Additive — existing agents unaffected.
extract.ts: delete the local 5-field extractFrontmatterLinks + local
inferLinkType. FS-source now calls canonical link-extraction.ts via
a synthetic resolver backed by the allSlugs Set. --include-frontmatter
flag (default OFF in v0.13 for back-compat; migration explicitly
enables for the one-time backfill). Top-20 unresolved names summary
when active.
* feat(migration): v0.13.0 orchestrator
3-phase orchestrator (schema → backfill → verify → record) follows
the v0_12_2.ts pattern. Phase A triggers migrate.ts v11 via
gbrain init --migrate-only. Phase B runs:
gbrain extract links --source db --include-frontmatter
to backfill frontmatter edges for every existing page. Uses the
batch-mode resolver (pg_trgm only, no LLM calls, zero API cost).
Ignores auto_link=false config — migration is canonical, the
auto_link flag controls per-write post-hook not one-time schema
work.
Idempotent + resumable via ON CONFLICT DO NOTHING + origin_page_id
scoping. Wall-clock budget: 2-5 min on 46K-page brains.
Registered in migrations/index.ts. apply-migrations test updated
to include v0.13.0 in skippedFuture for older installed versions.
* feat(release): upgrade-errors.jsonl trail + doctor surfacing
upgrade.ts catches post-upgrade subprocess failures as best-effort
today (line 65 comment: "post-upgrade is best-effort, don't fail
the upgrade"). When that chain silently fails, users end up with
half-upgraded brains and no signal.
v0.13: on post-upgrade failure, append a structured record to
~/.gbrain/upgrade-errors.jsonl with ts, phase, versions, error
message, and a paste-ready recovery hint.
doctor.ts reads the jsonl and surfaces the latest entry with a
warn-status check. User runs gbrain doctor, sees exactly what
failed, pastes the recovery command, files an issue if needed.
Applies to every future release — doctor grows with the codebase
without per-release edits. The CHANGELOG pattern ("To take advantage
of v[version]" block) mirrors this in user-facing form.
* chore: bump version and changelog (v0.13.0)
v0.13.0 — Frontmatter Relationship Indexing.
Adds the "To take advantage of v[version]" block pattern to
CHANGELOG format (CLAUDE.md documents the requirement going
forward). Pairs with the upgrade-errors.jsonl + doctor surfacing
to close the "half-upgraded brain, no signal" loop.
UPGRADING_DOWNSTREAM_AGENTS.md gets a v0.13 section: no-action-
required verdict for most skills, optional diffs for meeting-
ingestion / enrich / idea-ingest if they want to consume
auto_links.unresolved.
skills/migrations/v0.13.0.md is the user-facing upgrade skill.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(v0.13): adversarial review P0s
Codex + Claude adversarial review caught 4 critical issues in the
v0.13 implementation. Fixing before ship.
1. findByTitleFuzzy SET LOCAL was a no-op. postgres.js auto-commits
each sql`` so SET LOCAL pg_trgm.similarity_threshold committed
before the `%` operator ran against it. Resolver used server
default (0.3, not 0.55) → way too many fuzzy matches, wrong
links on a 46K-page brain. Switched to inline
`similarity(title, $1) >= $N` which has no transaction scoping.
Added `ORDER BY sim DESC, slug ASC` for deterministic
tie-breaking (prevents reconciliation churn on re-runs).
2. v11 migration now checks Postgres ≥ 15 before applying
UNIQUE NULLS NOT DISTINCT. Old Supabase projects on PG14 would
have dropped the old unique constraint and failed to add the
new one, corrupting the uniqueness invariant. The check raises
a clear error with the actual PG version, leaving the old
constraint in place.
3. v11 migration now backfills NULL link_source → 'markdown' for
pre-v0.13 legacy rows. Without this, reconciliation's existKey
comparison treats NULL and 'markdown' as equivalent but the
unique constraint sees them as distinct (NULLS NOT DISTINCT
only collapses NULL with NULL, not NULL with 'markdown'). Result
was duplicate edges accumulating forever. Treating legacy as
markdown is the accurate best-guess — pre-v0.13 auto-link only
emitted markdown edges.
4. v0_13_0.ts orchestrator now uses process.execPath, not a bare
`gbrain` on PATH. After `gbrain upgrade` rewrites the binary,
alias shadowing / PATH caching / multiple installs could
resolve a stale `gbrain` binary. process.execPath is always
the binary that loaded this migration module.
Phase C verify clarified: reports page + link counts and points to
Phase B's own stdout as the authoritative signal for backfill
results (extract.ts already prints `Links: created N from M pages`).
* docs: scrub real names from public docs + add privacy rule to CLAUDE.md
Public artifacts (CHANGELOG, skills, docs) should never reveal real
contacts, companies, funds, or private agent-fork names from any
user's brain. When a doc copies a query like `gbrain graph diana-hu`
or names a fork like `Wintermute`, that real name gets indexed,
cross-referenced, and distributed with every release.
CLAUDE.md gains a "Privacy rule: scrub real names from public docs"
section with:
- What counts as public (CHANGELOG, README, docs/, skills/, PR bodies,
commit messages, code comments)
- Name mapping table (agent forks → your agent fork; example person →
alice-example; example fund → fund-a; etc.)
- Distinction between illustrative API examples with household brands
(Stripe, Brex) and queries that reveal real relationships
Applied the rule to v0.13 scope:
- CHANGELOG v0.13 entry: Pedro/Diana/Wintermute/Sequoia/Benchmark/a16z
all replaced with alice/charlie/fund-a/acme/agent-fork placeholders
- skills/migrations/v0.13.0.md: same
- docs/UPGRADING_DOWNSTREAM_AGENTS.md: Wintermute references scrubbed
throughout (pre-v0.13 and v0.13 sections)
- CLAUDE.md: "Brain skills (from Wintermute)" → "(ported from an
upstream agent fork)", internal Wintermute provenance notes
genericized, "Garry finds fragile upgrade paths" → "the gbrain
maintainers find fragile upgrade paths" in the template
Pre-v0.13 historical CHANGELOG entries (v0.10-v0.12) left alone —
those are shipped releases; rewriting changes public history.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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013b348c28 |
v0.12.3: Reliability wave — sync deadlock, search timeout scoping, wikilinks, orphans (#216)
* fix(sync): remove nested transaction that deadlocks > 10 file syncs sync.ts wraps the add/modify loop in engine.transaction(), and each importFromContent inside opens another one. PGLite's _runExclusiveTransaction is a non-reentrant mutex — the second call queues on the mutex the first is holding, and the process hangs forever in ep_poll. Reproduced with a 15-file commit: unpatched hangs, patched runs in 3.4s. Fix drops the outer wrap; per-file atomicity is correct anyway (one file's failure should not roll back the others). (cherry picked from commit |
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c0b621923b |
fix: JSONB double-encode + splitBody wiki + parseEmbedding (v0.12.1) (#196)
* fix: splitBody and inferType for wiki-style markdown content - splitBody now requires explicit timeline sentinel (<!-- timeline -->, --- timeline ---, or --- directly before ## Timeline / ## History). A bare --- in body text is a markdown horizontal rule, not a separator. This fixes the 83% content truncation @knee5 reported on a 1,991-article wiki where 4,856 of 6,680 wikilinks were lost. - serializeMarkdown emits <!-- timeline --> sentinel for round-trip stability. - inferType extended with /writing/, /wiki/analysis/, /wiki/guides/, /wiki/hardware/, /wiki/architecture/, /wiki/concepts/. Path order is most-specific-first so projects/blog/writing/essay.md → writing, not project. - PageType union extended: writing, analysis, guide, hardware, architecture. Updates test/import-file.test.ts to use the new sentinel. Co-Authored-By: @knee5 (PR #187) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix: JSONB double-encode bug on Postgres + parseEmbedding NaN scores Two related Postgres-string-typed-data bugs that PGLite hid: 1. JSONB double-encode (postgres-engine.ts:107,668,846 + files.ts:254): ${JSON.stringify(value)}::jsonb in postgres.js v3 stringified again on the wire, storing JSONB columns as quoted string literals. Every frontmatter->>'key' returned NULL on Postgres-backed brains; GIN indexes were inert. Switched to sql.json(value), which is the postgres.js-native JSONB encoder (Parameter with OID 3802). Affected columns: pages.frontmatter, raw_data.data, ingest_log.pages_updated, files.metadata. page_versions.frontmatter is downstream via INSERT...SELECT and propagates the fix. 2. pgvector embeddings returning as strings (utils.ts): getEmbeddingsByChunkIds returned "[0.1,0.2,...]" instead of Float32Array on Supabase, producing [NaN] cosine scores. Adds parseEmbedding() helper handling Float32Array, numeric arrays, and pgvector string format. Throws loud on malformed vectors (per Codex's no-silent-NaN requirement); returns null for non-vector strings (treated as "no embedding here"). rowToChunk delegates to parseEmbedding. E2E regression test at test/e2e/postgres-jsonb.test.ts asserts jsonb_typeof = 'object' AND col->>'k' returns expected scalar across all 5 affected columns — the test that should have caught the original bug. Runs in CI via the existing pgvector service. Co-Authored-By: @knee5 (PR #187 — JSONB triple-fix) Co-Authored-By: @leonardsellem (PR #175 — parseEmbedding) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat: extract wikilink syntax with ancestor-search slug resolution extractMarkdownLinks now handles [[page]] and [[page|Display Text]] alongside standard [text](page.md). For wiki KBs where authors omit leading ../ (thinking in wiki-root-relative terms), resolveSlug walks ancestor directories until it finds a matching slug. Without this, wikilinks under tech/wiki/analysis/ targeting [[../../finance/wiki/concepts/foo]] silently dangled when the correct relative depth was 3 × ../ instead of 2. Co-Authored-By: @knee5 (PR #187) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat: gbrain repair-jsonb + v0.12.1 migration + CI grep guard - New gbrain repair-jsonb command. Detects rows where jsonb_typeof(col) = 'string' and rewrites them via (col #>> '{}')::jsonb across 5 affected columns: pages.frontmatter, raw_data.data, ingest_log.pages_updated, files.metadata, page_versions.frontmatter. Idempotent — re-running is a no-op. PGLite engines short-circuit cleanly (the bug never affected the parameterized encode path PGLite uses). --dry-run shows what would be repaired; --json for scripting. - New v0_12_1.ts migration orchestrator. Phases: schema → repair → verify. Modeled on v0_12_0 pattern, registered in migrations/index.ts. Runs automatically via gbrain upgrade / apply-migrations. - CI grep guard at scripts/check-jsonb-pattern.sh fails the build if anyone reintroduces the ${JSON.stringify(x)}::jsonb interpolation pattern. Wired into bun test via package.json. Best-effort static analysis (multi-line and helper-wrapped variants are caught by the E2E round-trip test instead). - Updates apply-migrations.test.ts expectations to account for the new v0.12.1 entry in the registry. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.12.1) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs: update project documentation for v0.12.1 - CLAUDE.md: document repair-jsonb command, v0_12_1 migration, splitBody sentinel contract, inferType wiki subtypes, CI grep guard, new test files (repair-jsonb, migrations-v0_12_1, markdown) - README.md: add gbrain repair-jsonb to ADMIN command reference - INSTALL_FOR_AGENTS.md: fix verification count (6 -> 7), add v0.12.1 upgrade guidance for Postgres brains - docs/GBRAIN_VERIFY.md: add check #8 for JSONB integrity on Postgres-backed brains - docs/UPGRADING_DOWNSTREAM_AGENTS.md: add v0.12.1 section with migration steps, splitBody contract, wiki subtype inference - skills/migrate/SKILL.md: document native wikilink extraction via gbrain extract links (v0.12.1+) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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699db50a3d |
fix(extract+migrate): kill N+1 hang + v0.12.0 migration timeout (v0.12.1) (#198)
* feat(engine): add addLinksBatch + addTimelineEntriesBatch via unnest()
Multi-row INSERT...SELECT FROM unnest() JOIN pages ON CONFLICT DO NOTHING
RETURNING 1. 4 array-typed bound parameters (links) or 5 (timeline)
regardless of batch size, sidesteps Postgres's 65535-parameter cap.
Returns count of rows actually inserted (excluding ON CONFLICT no-ops
and JOIN-dropped rows whose slugs don't exist).
Per-row addLink / addTimelineEntry signatures and SQL behavior unchanged.
All 10 existing call sites compile and behave identically.
Tests: 11 PGLite cases (empty batch, missing optionals, within-batch dedup,
JOIN drops missing slug, half-existing batch, batch of 100) + 9 E2E
postgres-engine cases against real Postgres+pgvector.
* fix(migrate): pre-create btree helper in v8 + v9 dedup; bump phaseASchema timeout
Production bug: v0.12.0 schema migration timed out at Supabase Management API's
60s ceiling on brains with 80K+ duplicate timeline rows. The DELETE...USING
self-join was O(n²) without an index on the dedup columns.
Fix: pre-create idx_links_dedup_helper / idx_timeline_dedup_helper on the
dedup columns BEFORE the DELETE, drop after. Turns O(n²) into O(n log n).
On 80K+ rows the migration completes in <1s instead of timing out.
Also bumps the v0.12.0 orchestrator's phaseASchema timeout 60s -> 600s as
belt-and-suspenders for unforeseen slowness.
Exports MIGRATIONS for structural test assertions.
Tests: 2 structural assertions (helper-index DDL must appear in v8/v9 SQL
in the right order — catches regression even at 0-row scale) + 2 behavioral
regression tests (1000-row dedup completes <5s).
* perf(extract): kill N+1 dedup pre-load; switch to batched writes
Production bug: gbrain extract hung 10+ minutes producing zero output on
47K-page brains. The pre-load loop called engine.getLinks(slug) (or
getTimeline) once per page across engine.listPages({limit: 100000}) — 47K
serial round-trips over the Supabase pooler before the first file was read.
Both engines already enforced uniqueness at the SQL layer
(UNIQUE(from, to, link_type) on links, idx_timeline_dedup on timeline_entries).
The in-memory dedup Set was redundant insurance that became the bottleneck.
Fix: delete the pre-load entirely. Buffer 100 candidates per file walk,
flush via engine.addLinksBatch / engine.addTimelineEntriesBatch. ~99% fewer
DB round-trips per re-extract.
Also fixes counter accuracy: 'created' now counts rows actually inserted
(via batch RETURNING 1 row count). Re-run on a fully-extracted brain
prints 'Done: 0 links' instead of lying.
Dry-run mode keeps a per-run dedup Set so duplicate candidates from N
markdown files print exactly once, not N times.
Batch errors are visible in BOTH json and human modes — silent loss of
100 rows is worse than per-row error visibility.
Tests: extract-fs.test.ts (idempotency + truthful counter + dry-run dedup
+ perf regression guard <2s).
* chore: bump version + changelog (v0.12.1)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: update CLAUDE.md for v0.12.1 (batch engine API, test counts)
Reflect what shipped in v0.12.1:
- New engine methods addLinksBatch + addTimelineEntriesBatch (PGLite via
unnest() + manual $N, postgres-engine via INSERT...SELECT FROM
unnest($1::text[], ...) JOIN pages ON CONFLICT DO NOTHING).
- extract.ts no longer pre-loads dedup set; candidates are buffered 100
at a time and flushed via the new batch methods.
- v0.12.0 orchestrator phaseASchema timeout bumped 60s to 600s.
- Test counts 1297 unit / 105 E2E to 1412 unit / 119 E2E.
- New test/extract-fs.test.ts covers the N+1 regression guard.
- BrainEngine method count 37/38 to 40.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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81b3f7afac |
feat: knowledge graph layer — auto-link, typed relationships, graph-query (v0.10.3) (#188)
* feat(schema): graph layer migrations v5/v6/v7 + GraphPath/health types
Schema foundation for v0.10.3 knowledge graph layer:
- v5: links UNIQUE constraint widened to (from, to, link_type) so the same
person can both works_at AND advises the same company as separate rows.
Idempotent for fresh + upgrade (drops both old constraint names first).
- v6: timeline_entries gets UNIQUE index on (page_id, date, summary) for
ON CONFLICT DO NOTHING idempotency at DB level.
- v7: drops trg_timeline_search_vector trigger. Structured timeline entries
are now graph data, not search text. Markdown timeline still feeds search
via the pages trigger. Side benefit: extraction pagination is no longer
self-invalidating (trigger used to bump pages.updated_at on every insert).
Types: new GraphPath (edge-based traversal result), PageFilters.updated_after,
BrainHealth gets link_coverage / timeline_coverage / most_connected. Postgres
schema regenerated via build:schema.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(graph): auto-link on put_page + extract --source db + security hardening
Core graph layer wired into the operation surface:
- New src/core/link-extraction.ts: extractEntityRefs (canonical extractor used
by both backlinks.ts and the new graph code), extractPageLinks (combines
markdown refs + bare-slug scan + frontmatter source, dedups within-page),
inferLinkType (deterministic regex heuristics for attended/works_at/
invested_in/founded/advises/source/mentions), parseTimelineEntries (parses
multiple date format variants from page content), isAutoLinkEnabled
(engine config flag, defaults true, accepts false/0/no/off case-insensitive).
- put_page operation auto-link post-hook: extracts entity refs from freshly
written content, reconciles links table (adds new, removes stale). Returns
auto_links: { created, removed, errors } in response so MCP callers see
outcomes. Runs in a transaction so concurrent put_page on same slug can't
race the reconciliation. Default on; opt out with auto_link=false config.
- traverse_graph operation extended with link_type and direction params.
Returns GraphPath[] (edges) when filters set, GraphNode[] (nodes) for
backwards compat. Depth hard-capped at TRAVERSE_DEPTH_CAP=10 for remote
callers; without this, depth=1e6 from MCP burns memory on the recursive CTE.
- gbrain extract <links|timeline|all> --source db: walks pages from the
engine instead of from disk. Works for live brains with no local checkout
(MCP-driven Wintermute / OpenClaw). Filesystem mode (--source fs) is
unchanged. New --type and --since filters with date validation upfront
(invalid --since used to silently no-op the filter and reprocess everything).
- Security: auto-link skipped for ctx.remote=true (MCP). Bare-slug regex
matches `people/X` anywhere in page text including code fences and quoted
strings. Without this gate an untrusted MCP caller could plant arbitrary
outbound links by writing pages with intentional slug references; combined
with the new backlink boost, attacker-placed targets would surface higher
in search.
- Postgres orphan_pages aligned to PGLite definition (no inbound AND no
outbound). Comment used to claim alignment but code disagreed; engines
drifted silently when users migrated.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(cli): graph-query command + skill updates + v0.10.3 migration file
Agent-facing surface for the graph layer:
- New `gbrain graph-query <slug>` command with --type, --depth, --direction
in|out|both. Maps to traverse_graph operation with the new filters. Renders
the result as an indented edge tree.
- skills/migrations/v0.10.3.md: agent runs this post-upgrade to discover the
graph layer. Tells the agent to run `gbrain extract links --source db`,
then timeline, verify with stats, try graph-query, and lists the inferred
link types so they can be used in subsequent traversals.
- skills/brain-ops/SKILL.md Phase 2.5: documents that put_page now auto-links.
No more manual add_link calls in the Iron Law back-linking path.
- skills/maintain/SKILL.md: graph population phase. Shows the right command
to backfill links + timeline from existing pages.
- cli.ts: register graph-query in CLI_ONLY + handleCliOnly switch. Update help
text to describe `gbrain extract --source fs|db` and the new graph-query.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* test(graph): unit + e2e + 80-page A/B/C benchmark for graph layer
Coverage for the v0.10.3 graph layer (260+ new test assertions):
- test/link-extraction.test.ts (46 tests): extractEntityRefs both formats,
extractPageLinks dedup + frontmatter source, inferLinkType heuristics
(meeting/CEO/invested/founded/advises/default), parseTimelineEntries
multiple date formats + invalid date rejection, isAutoLinkEnabled
case-insensitive truthy/falsy parsing.
- test/extract-db.test.ts (12 tests): `gbrain extract <links|timeline|all>
--source db` happy paths, --type filter, --dry-run JSON output,
idempotency via DB constraint, type inference from CEO context.
- test/graph-query.test.ts (5 tests): direction in/out/both, type filter,
non-existent slug, indented tree output.
- test/pglite-engine.test.ts (+26 tests): getAllSlugs, listPages
updated_after filter, multi-type links via v5 migration, removeLink with
and without linkType, addTimelineEntry skipExistenceCheck flag,
getBacklinkCounts for hybrid search boost, traversePaths in/out/both with
cycle prevention via visited array, getHealth graph metrics
(link_coverage / timeline_coverage / most_connected).
- test/e2e/graph-quality.test.ts (6 tests): full pipeline against PGLite
in-memory. Auto-link via put_page operation handler. Reconciliation
removes stale links on edit. auto_link=false config skip.
- test/benchmark-graph-quality.ts: A/B/C comparison on 80 fictional pages,
35 queries across 7 categories. Hard thresholds: link_recall > 90%,
link_precision > 95%, timeline_recall > 85%, type_accuracy > 80%,
relational_recall > 80%. Currently passing all 9.
Built test-first: benchmark caught WORKS_AT_RE matching "founder" inside
slug names (frank-founder), "worked at" past-tense missing from regex,
PGLite Date object vs ISO string comparison bug. All fixed before merge.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: bump version and changelog (v0.10.3)
CHANGELOG: knowledge graph layer headline. Auto-link on every page write.
Typed relationships (works_at, attended, invested_in, founded, advises).
gbrain extract --source db. graph-query CLI. Backlink boost in hybrid search.
Schema migrations v5/v6/v7 applied automatically.
Security hardening caught during /ship adversarial review: traverse_graph
depth capped at 10 from MCP, auto-link skipped for ctx.remote=true, runAutoLink
reconciliation in transaction, --since validates dates upfront.
TODOS.md: 2 P2 follow-ups (auto-link redundant SQL on skipped writes;
extract --source db not gated on auto_link config).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: sync CLAUDE.md with v0.10.3 graph layer
Updated key files list (extract.ts now describes --source fs|db, added
graph-query.ts and link-extraction.ts), test inventory (extract-db,
link-extraction, graph-query unit tests; e2e/graph-quality), and
test count (51 unit + 7 e2e, 1151 + 105 assertions).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(v0.10.3): wire graph layer into install flow + README + benchmark
Existing brains upgrading to v0.10.3 had no clear path to backfill the new
links/timeline tables. New installs had no instruction to run extract --source db
after import. This wires the knowledge graph into every install touchpoint so the
v0.10.3 features actually reach the user.
- README: headline now sells self-wiring graph + 94% benchmark numbers; new
Knowledge Graph section between Knowledge Model and Search; LINKS+GRAPH command
block expanded; Benchmarks docs group added
- INSTALL_FOR_AGENTS.md: new Step 4.5 (graph backfill) + Upgrade section now runs
gbrain init + post-upgrade and points to migrations/v<N>.md
- skills/setup/SKILL.md Phase C: new step 5 for graph backfill (idempotent,
skip-if-empty); existing file migration becomes step 6
- src/commands/init.ts: post-init hint detects existing brain (page_count > 0)
and prints extract commands for both PGLite and Postgres engines
- docs/GBRAIN_VERIFY.md: new Check #7 (knowledge graph wired) with backfill
fallback + graph-query smoke test
- docs/benchmarks/2026-04-18-graph-quality.md: checked-in benchmark report
matching the existing search-quality format (94% recall, 100% precision,
100% relational recall, idempotent both ways)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(claude): require PR descriptions to cover the whole branch
Adds a rule to CLAUDE.md so future PR bodies always cover the full diff
against the base branch, not just the most recent commit. Includes the
git log + gh pr view incantation to check what's actually in a PR.
This is a reaction to PR #189 being created with a body that described
only the last commit instead of the 7 commits it actually contained.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(upgrade): post-upgrade prints full body + --execute mode + downstream skill upgrade doc
PR #188 review caught two install-flow gaps that this commit closes:
1. `gbrain post-upgrade` only printed the migration headline + description
from YAML frontmatter, never the markdown body that contains the
step-by-step backfill instructions. Agents saw "Knowledge graph layer —
your brain now wires itself" and had no idea to run `gbrain extract
links --source db`. Now prints the full body after the headline.
2. New `--execute` flag reads a structured `auto_execute:` list from
migration frontmatter and runs the safe commands sequentially. Without
`--yes` it prints the plan only (preview mode). With `--yes` it actually
runs them. Stops on first failure with a clear error.
3. Downstream agents (Wintermute etc.) keep local skill forks that gbrain
can't push updates to. New `docs/UPGRADING_DOWNSTREAM_AGENTS.md` lists
the exact diffs each release needs applied to those forks. v0.10.3
diffs for brain-ops, meeting-ingestion, signal-detector, enrich.
Changes:
- src/commands/upgrade.ts:
- runPostUpgrade(args) accepts flags
- Prints full body via extractBody()
- Parses auto_execute: list via extractAutoExecute() (hand-rolled, no yaml dep)
- --execute previews, --execute --yes runs
- Fix cosmetic bug: `recipe: null` no longer prints "show null" message
- src/cli.ts: pass args to runPostUpgrade
- skills/migrations/v0.10.3.md:
- Add auto_execute: list (gbrain init + extract links/timeline + stats)
- Fix typo: completion record version was 0.10.1, now 0.10.3
- test/upgrade.test.ts: 5 new tests covering body printing, plan preview,
actual execution, no-auto_execute case, and --help output
- docs/UPGRADING_DOWNSTREAM_AGENTS.md: NEW
- CLAUDE.md: key files list updated
Test: 13 upgrade tests pass (was 8, +5 new). Full unit suite: 1078 pass,
zero regressions, 32 expected E2E skips (no DATABASE_URL).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* bench(graph): add Configuration A baseline (no graph) vs C comparison
Previous benchmark showed C numbers only (94.4% link recall, 100% relational
recall, etc.) but never quantified what a pre-v0.10.3 brain actually loses.
Reviewer caught this gap.
Adds measureBaselineRelational() that simulates a no-graph fallback:
- Outgoing queries: regex-extract entity refs from the seed page content
- Incoming queries: grep-style scan of all pages for the seed slug
This is what an agent without the structured links table can do today.
Honest result on the 5 relational queries in the benchmark:
- Recall: 100% A vs 100% C (+0%) — markdown contains the refs either way
- Precision: 58.8% A vs 100.0% C (+70%) — without typed links, you get the
right answers buried in 41% noise
Per-query breakdown shows the divergence is concentrated in INCOMING queries:
"Who works at startup-0?" returns 5 candidates without graph (2 employees +
3 noise pages that mention startup-0) vs exactly 2 with graph. For an LLM
agent, that's ~3x less reading work per relational question.
Also documented what the benchmark deliberately doesn't test (multi-hop,
search ranking with backlink boost, aggregate queries, type-disagreement
queries) so future benchmark work has a roadmap.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* bench(graph): add 4 missing categories — multi-hop, aggregate, type-disagreement, ranking
The previous benchmark commit (
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d8613366a5 |
Minions v7 + v0.11.1 canonical migration + skillify (#130)
* feat: add minion_jobs schema, migration v5, and executeRaw to BrainEngine Foundation for the Minions job queue system. Adds: - minion_jobs table (20 columns) with CHECK constraints, partial indexes, and RLS. Inspired by BullMQ's job model, adapted for Postgres. - Migration v5 creates the table for existing databases. - executeRaw<T>() method on BrainEngine interface for raw SQL access, needed by the Minions module for claim queries (FOR UPDATE SKIP LOCKED), token-fenced writes, and atomic stall detection. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Minions job queue — queue, worker, backoff, types BullMQ-inspired Postgres-native job queue built into GBrain. No Redis. No external dependencies. Postgres transactions replace Lua scripts. - MinionQueue: submit, claim (FOR UPDATE SKIP LOCKED), complete/fail (token-fenced), atomic stall detection (CTE), delayed promotion, parent-child resolution, prune, stats - MinionWorker: handler registry, lock renewal, graceful SIGTERM, exponential backoff with jitter, UnrecoverableError bypass - MinionJobContext: updateProgress(), log(), isActive() for handlers - 8-state machine: waiting/active/completed/failed/delayed/dead/ cancelled/waiting-children Patterns stolen from: BullMQ (lock tokens, stall detection, flows), Sidekiq (dead set, backoff formula), Inngest (checkpoint/resume). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: 43 tests for Minions job queue Full coverage of the Minions module against PGLite in-memory: - Queue CRUD (9): submit, get, list, remove, cancel, retry, duplicate - State machine (6): waiting→active→completed/failed, retry→delayed→waiting - Backoff (4): exponential, fixed, jitter range, attempts_made=0 edge - Stall detection (3): detect stalled, counter increment, max→dead - Dependencies (5): parent waits, fail_parent, continue, remove_dep, orphan - Worker lifecycle (5): register, start-without-handlers, claim+execute, non-Error throws, UnrecoverableError bypass - Lock management (3): renewal, token mismatch, claim sets lock fields - Claim mechanics (4): empty queue, priority ordering, name filtering, delayed promotion timing - Cancel & retry (2): cancel active, retry dead Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Minions CLI commands and MCP operations Wire Minions into the GBrain CLI and MCP layer: CLI (gbrain jobs): submit <name> [--params JSON] [--follow] [--dry-run] list [--status S] [--queue Q] [--limit N] get <id> — detailed view with attempt history cancel/retry/delete <id> prune [--older-than 30d] stats — job health dashboard work [--queue Q] [--concurrency N] — Postgres-only worker daemon 6 MCP operations (contract-first, auto-exposed via MCP server): submit_job, get_job, list_jobs, cancel_job, retry_job, get_job_progress Built-in handlers: sync, embed, lint, import. --follow runs inline. Worker daemon blocked on PGLite (exclusive file lock). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update project documentation for Minions job queue CLAUDE.md: added Minions files to key files, updated operation count (36), BrainEngine method count (38), test file count (45), added jobs CLI commands. CHANGELOG.md: added Minions entry to v0.10.0 (background jobs, retry, stall detection, worker daemon). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Minions v2 — agent orchestration primitives (pause/resume, inbox, tokens, replay) Adds the foundation for Minions as universal agent orchestration infrastructure. GBrain's Postgres-native job queue now supports durable, observable, steerable background agents. The OpenClaw plugin (separate repo) will consume these via library import, not MCP, for zero-latency local integration. ## New capabilities - **Concurrent worker** — Promise pool replaces sequential loop. Per-job AbortController for cooperative cancellation. Graceful shutdown waits for all in-flight jobs via Promise.allSettled. - **Pause/resume** — pauseJob clears the lock and fires AbortSignal on active jobs. Handlers check ctx.signal.aborted and exit cleanly. resumeJob returns paused jobs to waiting. Catch block skips failJob when signal.aborted. - **Inbox (separate table)** — minion_inbox table for sidechannel messages. sendMessage with sender validation (parent job or admin). readInbox is token-fenced and marks read_at atomically. Separate table avoids row bloat from rewriting JSONB on every send. - **Token accounting** — tokens_input/tokens_output/tokens_cache_read columns. updateTokens accumulates; completeJob rolls child tokens up to parent. USD cost computed at read time (no cost_usd column — pricing too volatile). - **Job replay** — replayJob clones a terminal job with optional data overrides. New job, fresh attempts, no parent link. ## Handler contract additions MinionJobContext now provides: - `signal: AbortSignal` — cooperative cancellation - `updateTokens(tokens)` — accumulate token usage - `readInbox()` — check for sidechannel messages - `log()` — now accepts string or TranscriptEntry ## MCP operations added pause_job, resume_job, replay_job, send_job_message — all auto-generate CLI commands and MCP server endpoints. ## Library exports package.json exports map adds ./minions and ./engine-factory paths so plugins can `import { MinionQueue } from 'gbrain/minions'` for direct library use. ## Instruction layer (the teaching) - skills/minion-orchestrator/SKILL.md — when/how to use Minions, decision matrix, lifecycle management, anti-patterns - skills/conventions/subagent-routing.md — cross-cutting rule: all background work goes through Minions - RESOLVER.md — trigger entries for agent orchestration - manifest.json — registered ## Schema migration v6 Additive: 3 token columns, paused status, minion_inbox table with unread index. Full Postgres + PGLite support. No backfill needed. ## Tests 65 tests (was 43): pause/resume (5), inbox (6), tokens (4), replay (4), concurrent worker context (3), plus all existing coverage. ## What's NOT in this commit Deferred to follow-up PRs: - LISTEN/NOTIFY subscribe (needs real Postgres E2E) - Resource governor (depends on concurrent worker stress testing) - Routing eval harness (needs API keys + benchmark data) - OpenClaw plugin (separate @gbrain/openclaw-minions-plugin repo) See docs/designs/MINIONS_AGENT_ORCHESTRATION.md for full CEO-approved design. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(minions): migration v7 — agent_parity_layer schema Adds columns on minion_jobs (depth, max_children, timeout_ms, timeout_at, remove_on_complete, remove_on_fail, idempotency_key) plus the new minion_attachments table. Three partial indexes for bounded scans: idx_minion_jobs_timeout, idx_minion_jobs_parent_status, and uniq_minion_jobs_idempotency. Check constraints enforce non-negative depth and positive child cap / timeout. Additive migration — existing installs pick it up via ensureSchema on next use. No user action required. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(minions): extend types for v7 parity layer Extends MinionJob with depth/max_children/timeout_ms/timeout_at/ remove_on_complete/remove_on_fail/idempotency_key. Extends MinionJobInput with the same options plus max_spawn_depth override. Adds MinionQueueOpts (maxSpawnDepth default 5, maxAttachmentBytes default 5 MiB). Adds AttachmentInput/Attachment shapes and ChildDoneMessage in the InboxMessage union. rowToMinionJob updated to pick up the new columns. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(minions): attachments validator New module validateAttachment() gates every attachment write. Rejects empty filenames, path traversal (.., /, \), null bytes, oversized content (5 MiB default, per-queue override), invalid base64, and implausible content_type headers. Returns normalized { filename, content_type, content (Buffer), sha256, size } on success. The DB also enforces UNIQUE (job_id, filename) as defense-in-depth for concurrent addAttachment races — JS-only checks are not sufficient. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(minions): queue v7 — depth, child cap, timeouts, cascade, idempotency, child_done Wraps completeJob and failJob in engine.transaction() so parent hook invocations (resolveParent, failParent, removeChildDependency) fold into the same transaction as the child update. A process crash between child and parent can't strand the parent in waiting-children anymore. Adds v7 behaviors: - Depth tracking. add() computes depth = parent.depth + 1 and rejects past maxSpawnDepth (default 5). - Per-parent child cap. add() takes SELECT ... FOR UPDATE on the parent, counts non-terminal children, rejects when count >= max_children. NULL max_children = no cap. - Per-job wall-clock timeout. claim() populates timeout_at when timeout_ms is set. New handleTimeouts() dead-letters expired rows with error_text='timeout exceeded'. Terminal — no retry. - Cascade cancel. cancelJob() walks descendants via recursive CTE with depth-100 runaway cap. Returns the root row. Re-parented descendants (parent_job_id NULL) are naturally excluded. - Idempotency. add() uses INSERT ... ON CONFLICT (idempotency_key) DO NOTHING RETURNING; falls back to SELECT when RETURNING is empty. Same key always yields the same job id. - child_done inbox. completeJob inserts {type:'child_done', child_id, job_name, result} into the parent's inbox in the same transaction as the token rollup, guarded by EXISTS so terminal/deleted parents skip without FK violation. New readChildCompletions(parent_id, lock_token, since?) helper; token-fenced like readInbox. - removeOnComplete / removeOnFail. Deletes the row after the parent hook fires, so parent policy sees consistent state. - Attachment methods. addAttachment validates via validateAttachment then INSERTs; UNIQUE (job_id, filename) backs the JS dup check. listAttachments, getAttachment, deleteAttachment round out the API. Fixes pre-existing inverted status bug: add() now puts children in waiting/delayed (not waiting-children) and atomically flips the parent to waiting-children in the same transaction. Tests no longer need manual UPDATE workarounds. Two correctness fixes: - Sibling completion race. Under READ COMMITTED, two grandchildren completing concurrently each saw the other as still-active in the pre-commit snapshot and neither flipped the parent. Fixed by taking SELECT ... FOR UPDATE on the parent row at the start of completeJob and failJob transactions, serializing siblings on the parent lock. - JSONB double-encode. postgres.js conn.unsafe(sql, params) auto- JSON-encodes parameters. Calling JSON.stringify(obj) first stored a JSON string literal (jsonb_typeof=string) and broke payload->>'key' queries silently. Removed JSON.stringify from three call sites (child_done inbox post, updateProgress, sendMessage). PGLite tolerated both forms so unit tests missed it — real-PG E2E caught it. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(minions): worker — timeout safety net + handleTimeouts tick Worker tick now calls handleStalled() first, then handleTimeouts() — stall requeue wins over timeout dead-letter when both could fire in the same cycle. handleTimeouts() guards on lock_until > now() so stalled jobs take the retryable path. launchJob schedules a per-job setTimeout(timeout_ms) that fires ctx.signal as a best-effort handler interrupt. The timer is always cleared in .finally so process exit isn't delayed by a dangling timer. Handlers that respect AbortSignal stop cleanly; handlers that ignore it still get dead-lettered by the DB-side handleTimeouts. Removed post-completeJob and post-failJob parent-hook calls from the worker — those are now inside the queue method transactions. Worker becomes simpler and crash-safer. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(minions): 33 new unit tests for v7 parity layer Covers depth cap, per-parent child cap, timeout dead-letter, cascade cancel (including the re-parent edge case), removeOnComplete / removeOnFail, idempotency (single + concurrent), child_done inbox (posted in txn + survives child removeOnComplete + since cursor), attachment validation (oversize, path traversal, null byte, duplicates, base64), AbortSignal firing on pause mid-handler, catch-block skipping failJob when aborted, worker in-flight bookkeeping, token-rollup guard when parent already terminal, and setTimeout safety-net cleanup. Existing tests updated to remove the inverted-status manual UPDATE workarounds that the add() fix made obsolete. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(e2e): Minions v7 concurrency + OpenClaw resilience coverage minions-concurrency.test.ts spins two MinionWorker instances against the test Postgres, submits 20 jobs, and asserts zero double-claims (every job runs exactly once). This is the only test that actually proves FOR UPDATE SKIP LOCKED under real concurrency — PGLite runs on a single connection and can't exercise the race. minions-resilience.test.ts covers the six OpenClaw daily pains: 1. Spawn storm caps enforce under concurrent submit. 2. Agent stall → handleStalled() requeues; handleTimeouts() skips (lock_until guard). 3. Forgotten dispatches recoverable via child_done inbox. 4. Cascade cancel stops grandchildren mid-flight. 5. Deep tree fan-in (parent → 3 children → 2 grandchildren each) completes with the full inbox chain. 6. Parent crash/recovery resumes from persisted state. helpers.ts extends ALL_TABLES with minion_attachments, minion_inbox, and minion_jobs (FK dependents first) so E2E teardown doesn't leak rows between runs. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: release v0.11.0 — Minions v7 agent orchestration primitives Bumps VERSION / package.json to 0.11.0. Adds CHANGELOG entry covering depth tracking, max_children, per-job timeouts, cascade cancel, idempotency keys, child_done inbox, removeOnComplete/Fail, attachments, migration v7, plus the two correctness fixes (sibling completion race and JSONB double-encode). TODOS.md captures the four v7 follow-ups: per-queue rate limiting, repeat/cron scheduler, worker event emitter, and waitForChildren convenience helpers. 1066 unit + 105 E2E = 1171 tests passing. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(minions): unify JSONB inserts, tighten nullish coalescing Three non-blocker cleanups from post-ship review of v0.11.0: - queue.ts add() and completeJob(): pre-stringifying with JSON.stringify while other sites pass raw objects with $n::jsonb casts. postgres.js double-encodes if you stringify first — works on PGLite (text→JSONB auto-cast), fails silently on real PG. Unify on raw object + explicit $n::jsonb cast. - queue.ts readChildCompletions: since clause used sent_at > $2 relying on PG's implicit text→TIMESTAMPTZ coercion. Explicit $2::timestamptz is safer and clearer. - types.ts rowToMinionJob: parent_job_id used || which coerces 0 to null. Harmless today (SERIAL IDs start at 1) but ?? is semantically correct. All 110 unit tests pass. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(minions): updateProgress missed $1::jsonb cast in unification Residual from |
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b7e3005b5b |
fix: sync pipeline, extract, features, autopilot (v0.10.1) (#129)
* feat: migrate 8 existing skills to conformance format Add YAML frontmatter (name, version, description, triggers, tools, mutating), Contract, Anti-Patterns, and Output Format sections to all existing skills. Rename Workflow to Phases. Ingest becomes thin router delegating to specialized ingestion skills (Phase 2). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add RESOLVER.md, conventions directory, and output rules RESOLVER.md is the skill dispatcher modeled on Wintermute's AGENTS.md. Categorized routing table: Always-on, Brain ops, Ingestion, Thinking, Operational, Setup, Identity. Conventions directory extracts cross-cutting rules (quality, brain-first lookup, model routing, test-before-bulk). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add skills conformance and resolver validation tests skills-conformance.test.ts validates every skill has YAML frontmatter with required fields, Contract, Anti-Patterns, and Output Format sections, and manifest.json coverage. resolver.test.ts validates routing table categories, skill path existence, and manifest-to-resolver coverage. 50 new tests. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add 9 brain skills from Wintermute (Phase 2) Generalized from Wintermute's battle-tested skills: - signal-detector: always-on idea+entity capture on every message - brain-ops: brain-first lookup, read-enrich-write loop, source attribution - idea-ingest: links/articles/tweets with author people page mandatory - media-ingest: video/audio/PDF/book with entity extraction (absorbs video/youtube/book) - meeting-ingestion: transcripts with attendee enrichment chaining - citation-fixer: audit and fix citation formatting - repo-architecture: filing rules by primary subject - skill-creator: create skills with conformance standard + MECE check - daily-task-manager: task lifecycle with priority levels All Garry-specific references generalized. Core workflows preserved. Updated RESOLVER.md and manifest.json. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add operational infrastructure + identity layer (Phase 3) Operational skills: - daily-task-prep: morning prep with calendar context and open threads - cross-modal-review: quality gate via second model with refusal routing - cron-scheduler: schedule staggering, quiet hours, wake-up override, idempotency - reports: timestamped reports with keyword routing - testing: skill validation framework (conformance checks) - soul-audit: 6-phase interview generating SOUL.md, USER.md, ACCESS_POLICY.md, HEARTBEAT.md - webhook-transforms: external events to brain signals with dead-letter queue Identity layer: - SOUL.md template (agent identity, generated by soul-audit) - USER.md template (user profile, generated by soul-audit) - ACCESS_POLICY.md template (4-tier access control) - HEARTBEAT.md template (operational cadence) - cross-modal.yaml convention (review pairs, refusal routing chain) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update CLAUDE.md with 24 skills, RESOLVER.md, conventions, templates GBrain is now a GStack mod for agent platforms. Updated architecture description, key files listing (16 new skill files, RESOLVER.md, conventions, templates), skills section (24 skills organized by resolver categories), and testing section (new conformance and resolver tests). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add GStack detection + mod status to gbrain init (Phase 4) After brain initialization, gbrain init now reports: - Number of skills loaded (from manifest.json) - GStack detection (checks known host paths, uses gstack-global-discover if available) - GStack install instructions if not found - Resolver and soul-audit pointers Also adds installDefaultTemplates() for SOUL.md/USER.md/ACCESS_POLICY.md/HEARTBEAT.md deployment, and detectGStack() using gstack-global-discover with fallback to known paths (DRY: doesn't reimplement GStack's host detection logic). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: v0.10.0 release documentation - CHANGELOG: 24 skills, signal detector, RESOLVER.md, soul-audit, access control, conventions, conformance standard, GStack detection in init - README: updated skill section with 24 skills, resolver, conventions - TODOS: added runtime MCP access control (P1) - VERSION: 0.9.2 → 0.10.0 - package.json + manifest.json version bumped Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add skill table to CHANGELOG v0.10.0 16-row table detailing every new skill, what it does, and why it matters. Written to sell the upgrade, not document the implementation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: restore package.json version after merge conflict resolution Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: zero-based README rewrite for GStackBrain v0.10.0 Lead with GStack mod identity. 24 skills table organized by category. Install block references RESOLVER.md and soul-audit. GBrain+GStack relationship explained. Removed redundancy (733 -> 406 lines). All essential content preserved: install, recipes, architecture, search, commands, engines, voice, knowledge model. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: extract install block to INSTALL_FOR_AGENTS.md, simplify README The 30-line copy-paste install block becomes one line: "Retrieve and follow INSTALL_FOR_AGENTS.md" Benefits: agent always gets latest instructions (no stale copy-paste), README stays clean, install details live where agents read them. README now leads with what GBrain does ("gives your agent a brain") instead of GStack relationship. Removed "requires frontier model" note. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 3 bugs in init.ts from merge conflict resolution 1. llstatSync typo (merge corruption) → lstatSync 2. __dirname undefined in ESM module → fileURLToPath polyfill 3. require('fs') in ESM → use imported readFileSync All three would crash gbrain init at runtime. Caught by /review. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add checkResolvable shared core function for resolver validation Shared function at src/core/check-resolvable.ts validates that all skills are reachable from RESOLVER.md, detects MECE overlaps (with whitelist for always-on/router skills), finds gaps in frontmatter triggers, and scans for DRY violations. Returns structured ResolvableIssue objects with machine-parseable fix objects alongside human-readable action strings. Three call sites: bun test, gbrain doctor, skill-creator skill. Cleans up test/resolver.test.ts: removes stale 9-line skip list, imports from production check-resolvable.ts instead of reimplementing parsing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: expand doctor with resolver validation, filesystem-first architecture Doctor now runs filesystem checks (resolver health, skill conformance) before connecting to DB. New --fast flag skips DB checks. Falls back to filesystem-only when DB is unavailable. Adds schema_version: 2 to JSON output, composite health score (0-100), and structured issues array with action strings for agent parsing. Resolver health check calls checkResolvable() and surfaces actionable fix instructions. Link integrity check uses engine.getHealth() dead_links count. CLI routing split: doctor dispatched before connectEngine() so filesystem checks always run. Fixes Codex-identified blocker where doctor required DB. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add adaptive load-aware throttling and fail-improve loop backoff.ts: System load checking (CPU via os.loadavg, memory via os.freemem), exponential backoff with 20-attempt max guard, active hours multiplier (2x slower during waking hours), concurrent process limit (max 2). Windows-safe: defaults to "proceed" when os.loadavg returns zeros. fail-improve.ts: Deterministic-first, LLM-fallback pattern with JSONL failure logging. Cascade failure handling: when both paths fail, throws LLM error and logs both. Log rotation at 1000 entries. Call count tracking for deterministic hit rate metrics. Auto-generates test cases from successful LLM fallbacks. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add transcription service and enrichment-as-a-service transcription.ts: Groq Whisper (default) with OpenAI fallback. Files >25MB segmented via ffmpeg. Provider auto-detection from env vars. Clear error messages for missing API keys and unsupported formats. enrichment-service.ts: Global enrichment service callable from any ingest pathway. Entity slug generation (people/jane-doe, companies/acme-corp), mention counting via searchKeyword, tier auto-escalation (Tier 3→2→1 based on mention frequency and source diversity), batch enrichment with backoff throttling, regex-based entity extraction from text. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add data-research skill with recipe system, extraction, dedup, tracker New skill: data-research — one parameterized pipeline for any email-to- structured-data workflow (investor updates, donations, company metrics). 7-phase pipeline: define recipe, search, classify, extract (with extraction integrity rule), archive, deduplicate, update tracker. data-research.ts: Recipe validation, MRR/ARR/runway/headcount regex extraction (battle-tested patterns), dedup with configurable tolerance, markdown tracker parsing/appending, quarterly/monthly date windowing, 6-phase HTML email stripping with 500KB ReDoS cap. Registers data-research in manifest.json (25th skill) and RESOLVER.md. Fixes backoff test robustness for high-load systems. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update project documentation for v0.10.0 infrastructure additions CLAUDE.md: added 6 new core files (check-resolvable, backoff, fail-improve, transcription, enrichment-service, data-research), 6 new test files, updated skill count to 25, test file count to 34. README.md: updated skill count to 25, added data-research to skills table. CHANGELOG.md: added Infrastructure section documenting resolver validation, doctor expansion, adaptive throttling, fail-improve loop, voice transcription, enrichment service, and data-research skill. TODOS.md: anonymized personal references. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: doctor.ts use ES module imports, harden backoff test Replace require('fs') with ES module import in doctor.ts for consistency with the rest of the file. Backoff test made resilient to parallel test execution leaking module-level state. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: sync --watch routing, dead_links parity, doctor command, embed --slugs - Move sync to CLI_ONLY so --watch flag reaches runSync() (was routed through operation layer which only calls performSync single-pass) - Hide sync_brain from CLI help (MCP still exposes it) - Fix performFullSync missing sync state persistence (C1) - Align Postgres dead_links query to match PGLite (count dangling links, not empty-content chunks) (C3) - Fix doctor recommending nonexistent 'gbrain embed refresh' (C4) - Refactor doctor outputResults to not call process.exit directly - Add --slugs flag to embed for targeted page embedding - Add sync auto-extract + auto-embed after performSync - Add noExtract to SyncOpts - Route extract, features, autopilot in CLI_ONLY - Update help text with new commands Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: extract, features, and autopilot commands - gbrain extract <links|timeline|all> — batch extraction of links and timeline entries from brain markdown files. Broad regex for all .md links (C7: filters external URLs). Frontmatter field parsing (company, investors, attendees). Directory-based link type inference. JSONL progress on stderr for agents. Sync integration hooks (extractLinksForSlugs, extractTimelineForSlugs). - gbrain features [--json] [--auto-fix] — scan brain usage, pitch unused features with the user's own numbers. Priority 1 (data quality): missing embeddings, dead links. Priority 2 (unused features): zero links, zero timeline, low coverage, unconfigured integrations, no sync. Embedded recipe metadata for binary-safe integration detection. Persistence in ~/.gbrain/feature-offers.json. Doctor teaser hook. Upgrade hook. - gbrain autopilot [--repo] [--interval N] — self-maintaining brain daemon. Pipeline: sync → extract → embed. Health-based adaptive scheduling (brain_score >= 90 doubles interval, < 70 halves it). --install/--uninstall for launchd (macOS) and crontab (Linux). Signal handling. Consecutive error tracking (stops at 5). Log to ~/.gbrain/autopilot.log. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: hook features scan into post-upgrade flow After gbrain post-upgrade completes, automatically run gbrain features to show the user what's new and what to fix. Best-effort (doesn't fail the upgrade). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: brain_score (0-100) in BrainHealth Weighted composite score computed in getHealth() for both Postgres and PGLite: embed_coverage: 0.35, link_density: 0.25, timeline_coverage: 0.15, no_orphans: 0.15, no_dead_links: 0.10 Returns 0 for empty brains. Agents use brain_score as a health gate. Autopilot uses it for adaptive scheduling (>=90 slows down, <70 speeds up). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: extract and features unit tests 25 tests covering: - extractMarkdownLinks: relative links, external URL filtering, edge cases - extractLinksFromFile: slug resolution, frontmatter parsing, directory-based type inference (works_at, deal_for, invested_in) - extractTimelineFromContent: bullet format, header format with detail, em/en dash handling, empty content - features: module exports, brain_score calculation weights, CLI routing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: instruction layer for extract, features, autopilot Agent-facing tools are invisible without instruction-layer coverage. - RESOLVER.md: add routing for extract, features, autopilot - maintain/SKILL.md: add link graph extraction, timeline extraction, autopilot check sections Without these, agents reading skills/ will never discover or run the new commands. This is the #1 DX finding from the devex review. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.10.1) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: sync CLAUDE.md with v0.10.1 additions Add extract.ts, features.ts, autopilot.ts to key files. Add extract.test.ts, features.test.ts to test list. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: adversarial review fixes — 7 issues - #3: autopilot extract step was a no-op (imported but never called) - #6: PGLite orphan_pages query aligned with Postgres (check both inbound+outbound) - #8: embedPage throws instead of process.exit (was killing sync/autopilot) - #9: dead-links set auto_fixable=false (needs repo path we may not have) - #10: JSON auto-fix output was dead code (unreachable !jsonMode check) - #14: autopilot lock file prevents concurrent instances - #20: --dir without value no longer crashes extract Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * security: fix command injection + plaintext API key in daemon install - #1: Crontab install used echo pipe with shell-interpolated values. Now uses a temp file via crontab(1) and single-quote escaping on all interpolated paths. No shell expansion possible. - #2: OPENAI_API_KEY was baked as plaintext into the launchd plist (readable by any local process, backed up by Time Machine). Now uses a wrapper script (~/.gbrain/autopilot-run.sh) that sources ~/.zshrc at runtime. No secrets in plist or crontab. - #16: extract.ts used a custom 20-line YAML parser that only handled single-line key:value pairs. Multi-line arrays (attendees list with - items) were silently ignored. Now uses the project's gray-matter parser via parseMarkdown() from src/core/markdown.ts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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d547a64600 |
feat: search quality boost — compiled truth ranking + detail parameter (v0.8.1) (#64)
* feat: search quality boost — compiled truth ranking, detail parameter, cosine re-scoring Compiled truth chunks now rank 2x higher in hybrid search via RRF normalization + source boost. New --detail flag (low/medium/high) controls timeline inclusion. Cosine re-scoring blends query-chunk similarity before dedup for query-specific ranking. Also: remove DISTINCT ON from keyword search (dedup handles per-page capping), add chunk_id + chunk_index to SearchResult, add getEmbeddingsByChunkIds to BrainEngine interface. Inspired by Ramp Labs' "Latent Briefing" paper (April 2026). * feat: RRF normalization, source-aware dedup, detail param in operations RRF scores normalized to 0-1 before 2.0x compiled truth boost. Source-aware dedup guarantees compiled truth chunk per page. Detail parameter added to query operation, dedupResults added to bare search operation. Debug logging via GBRAIN_SEARCH_DEBUG=1. * chore: bump version and changelog (v0.8.1) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: CJK word count in query expansion CJK text is not space-delimited. A query like "向量搜索优化" was counted as 1 word and silently skipped expansion. Now counts characters for CJK queries instead of space-separated tokens. Co-Authored-By: YIING99 <yiing99@users.noreply.github.com> * feat: retrieval evaluation harness — P@k, R@k, MRR, nDCG@k + gbrain eval Full IR evaluation framework: precisionAtK, recallAtK, mrr, ndcgAtK metrics with runEval() orchestrator. gbrain eval CLI with single-run table and A/B comparison mode (--config-a / --config-b) for parameter tuning. HybridSearchOpts now accepts rrfK and dedupOpts overrides. Co-Authored-By: 4shut0sh <4shut0sh@users.noreply.github.com> * test: search quality tests — RRF boost, dedup guarantee, cosine similarity, E2E benchmark 42 new tests across 3 files: - test/search.test.ts: RRF normalization, compiled truth 2x boost, dedup key collision prevention, cosine similarity edge cases, CJK word count detection - test/dedup.test.ts: source-aware compiled truth guarantee, layer interactions, custom maxPerPage, empty/single result edge cases - test/e2e/search-quality.test.ts: full pipeline against PGLite with basis vector embeddings — chunk_id/chunk_index fields, detail parameter filtering, getEmbeddingsByChunkIds, keyword multi-chunk, vector ordering Also: export rrfFusion + cosineSimilarity for unit testing, fix PGLite getEmbeddingsByChunkIds to parse string vectors from pgvector. * test: search quality benchmark with A/B comparison (baseline vs PR#64) Benchmark measures P@1, MRR, nDCG@5, and source accuracy across 8 queries against 5 seeded pages. Key finding: boost helps entity lookups but over-corrects temporal queries. Validates the --detail parameter as the right control mechanism. Output at docs/benchmarks/2026-04-13.md. * feat: query intent classifier — auto-selects detail level, 100% source accuracy Zero-latency heuristic classifier detects query intent from text patterns: - "Who is Pedro?" → entity → detail=low (compiled truth only) - "When did we last meet?" → temporal → detail=high (no boost, natural ranking) - "Variant fund announcement" → event → detail=high - General queries → detail=medium (default with boost) The key insight: skip the 2.0x compiled truth boost for detail=high queries. Temporal/event queries want natural ranking where timeline entries can win. Benchmark results (source accuracy = does the top chunk match expected type): - Baseline: 100% (already good, no boost needed) - Boost only: 71.4% (boost over-corrects temporal queries) - Boost + intent classifier: 100% (best of both worlds) 35 unit tests for the classifier. 590 total tests pass. * feat: query intent classifier — auto-selects detail level, 100% source accuracy Heuristic classifier detects query intent from text patterns (zero latency, no LLM call). Maps temporal queries ("when did we last meet") to detail=high, entity queries ("who is X") to detail=low, events to detail=high. Benchmark results (29 pages, 20 queries, graded relevance): - Baseline: P@1=0.947, MRR=0.974, source accuracy=89.5% - Boost only: P@1=0.895, MRR=0.939, source accuracy=63.2% (over-correction) - Boost + intent: P@1=0.947, MRR=0.974, source accuracy=89.5% (fully recovered) The intent classifier eliminates the boost's over-correction on temporal queries while preserving its benefits for entity lookups. 35 unit tests for the classifier. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * test: search quality benchmark with A/B comparison (baseline vs PR#64) Rich benchmark: 29 pages, 58 chunks, 20 queries with graded relevance. Now measures CHUNK-LEVEL quality, not just page-level retrieval. Key findings (C. Boost+Intent vs A. Baseline): - Unique pages in top-10: 7.2 → 8.7 (+21% broader coverage) - Compiled truth ratio: 51.6% → 66.8% (+15pp more signal) - CT-first rate: 100% (compiled truth leads for entity queries) - Timeline accessible: 100% (temporal queries still find dates) - Source accuracy: 89.5% maintained (intent classifier prevents regression) The boost alone (B) causes -26pp source accuracy regression. Intent classifier (C) recovers it fully. * docs: clean benchmark report — ELI10 search quality analysis for PR#64 Replaces two drafts with one clean report. Explains what changed, why it matters, and what the numbers mean. All fictional data, no private info. Key findings: 21% more page coverage per query, 29% more compiled truth in results. Intent classifier prevents boost from burying timeline for temporal queries. Full per-query breakdown with before/after comparison. * chore: remove auto-generated benchmark file (clean version is 2026-04-14-search-quality.md) * docs: update project documentation for search quality boost CLAUDE.md: added search/intent.ts, search/eval.ts, commands/eval.ts to key files. Added 5 new test files (search, dedup, intent, eval, e2e/search-quality). Updated test count from 23+4 to 28+5. Added docs/benchmarks/ to key files. README.md: updated search pipeline diagram with intent classifier, RRF normalization, compiled truth boost, cosine re-scoring, and 5-layer dedup. Added --detail flag explanation and benchmark instructions. CHANGELOG.md: added search quality entries to v0.9.3 (intent classifier, --detail flag, gbrain eval, CJK fix). Credited @4shut0sh and @YIING99. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: headline benchmark gains in changelog * docs: add community attribution rule to CHANGELOG voice section --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: YIING99 <yiing99@users.noreply.github.com> Co-authored-by: 4shut0sh <4shut0sh@users.noreply.github.com> |
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Garry TanandClaude Opus 4.6
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004ac6c66f |
fix: statement_timeout scoped to search, upload-raw writes pointer, publish inlines marked.js
1. statement_timeout: 8s moved from global connection config to searchKeyword/searchVector only. Prevents DoS on search without killing embed --all or bulk imports that need longer than 8s. 2. upload-raw now writes the .redirect.yaml pointer file to disk (was creating the pointer object but never calling writeFileSync). 3. publish inlines marked.js from node_modules instead of loading from cdn.jsdelivr.net. Generated HTML is now truly self-contained with no external dependencies. 4. v0.9.1 migration doc updated with slug authority breaking change warning for brains that use frontmatter slug: overrides. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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13773be071 |
fix: community fix wave — 10 PRs, 7 contributors (v0.9.1) (#65)
* fix: security hardening — search DoS, slug hijack, symlink traversal, content bombs, stdin guard 4 security vulnerabilities closed: - Search limit clamped to 100 (MAX_SEARCH_LIMIT) with statement_timeout 8s - Frontmatter slug authority enforced (path-derived, mismatch rejected) - Symlink traversal blocked (lstatSync in walker + importFromFile) - Content size guard on importFromContent (Buffer.byteLength, 5MB) - Stdin size guard in parseOpArgs (5MB cap) Search pagination added (--offset param on search + query operations). Clamp warning emitted when limit is capped. Co-Authored-By: garagon <garagon@users.noreply.github.com> * fix: PGLite concurrent access lock — prevent Aborted() crash File-based advisory lock using atomic mkdir with PID tracking and 5-minute stale detection. Clear error messages show which process holds the lock and how to recover. Co-Authored-By: danbr <danbr@users.noreply.github.com> * fix: 12 data integrity fixes + stale embedding prevention CTE searchKeyword rewrite (SQL-level LIMIT, not JS splice). Write validation on addLink/addTag/addTimelineEntry/putRawData/createVersion. Health metrics now measure real problems (stale_pages, orphan_pages, dead_links). Orphan chunk cleanup on empty pages. Embedding error logging. contentHash now covers all PageInput fields. Stale embedding NULL'd when chunk_text changes (prevents wrong vector on new text). hybridSearch stops double-embedding query. MCP param validation. type/exclude_slugs search filters now work. pgcrypto extension for Postgres <13. Co-Authored-By: win4r <win4r@users.noreply.github.com> * perf: 30x embedAll speedup + O(n²) fix + ask alias Sliding worker pool (concurrency 20, tunable via GBRAIN_EMBED_CONCURRENCY). O(n²) chunk lookup in embedPage replaced with Map. gbrain ask alias for query (CLI-only, not in MCP tools-json). .idea added to .gitignore. Co-Authored-By: stephenhungg <stephenhungg@users.noreply.github.com> Co-Authored-By: sharziki <sharziki@users.noreply.github.com> Co-Authored-By: hnshah <hnshah@users.noreply.github.com> Co-Authored-By: doguabaris <doguabaris@users.noreply.github.com> * chore: bump version and changelog (v0.9.1) Community fix wave: 10 PRs, 7 contributors. 4 security fixes, PGLite crash fix, 12 data integrity fixes, 30x embed speedup, search pagination, ask alias. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: garagon <garagon@users.noreply.github.com> Co-authored-by: danbr <danbr@users.noreply.github.com> Co-authored-by: win4r <win4r@users.noreply.github.com> Co-authored-by: stephenhungg <stephenhungg@users.noreply.github.com> Co-authored-by: sharziki <sharziki@users.noreply.github.com> Co-authored-by: hnshah <hnshah@users.noreply.github.com> Co-authored-by: doguabaris <doguabaris@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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6c7d2ed30b |
feat: PGLite engine — local brain, zero infrastructure (v0.7.0) (#41)
* refactor: extract shared utils, add runMigration + getChunksWithEmbeddings to BrainEngine Extract validateSlug, contentHash, rowToPage, rowToChunk, rowToSearchResult from postgres-engine.ts into shared utils.ts. Add rowToChunk includeEmbedding parameter for migration support. Add two new methods to BrainEngine interface: - runMigration(version, sql) — replaces internal eng.sql access in migrate.ts - getChunksWithEmbeddings(slug) — returns chunks with embedding data for migration Replace 'sqlite' with 'pglite' in EngineConfig and GBrainConfig types. Fix loadConfig to infer engine from database_path. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: pluggable engine factory + hybridSearch keyword-only fallback Add createEngine() factory with dynamic imports so PGLite WASM is never loaded for Postgres users. Wire CLI to use factory instead of hardcoded PostgresEngine. Force workers=1 for PGLite imports (single-connection architecture). Fix hybridSearch to check OPENAI_API_KEY before calling embed(). When unset, returns keyword-only results instead of throwing. Critical for local PGLite users who don't need vector search. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: PGLiteEngine — embedded Postgres 17.5 via WASM, same SQL everywhere Full BrainEngine implementation (37 methods) using @electric-sql/pglite. Same SQL as PostgresEngine — tsvector triggers, pgvector HNSW, pg_trgm fuzzy matching, recursive CTEs, JSONB. Only the driver call syntax differs (parameterized queries instead of tagged templates). PGLite schema is the Postgres schema minus RLS, advisory locks, and remote auth tables (access_tokens, mcp_request_log, files). No server. No subscription. One directory. Works offline. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: smart init (PGLite default) + bidirectional engine migration gbrain init now defaults to PGLite — brain ready in 2 seconds, no server needed. Scans target directory: <1000 .md files = PGLite, >=1000 = suggests Supabase. --supabase and --pglite flags override. gbrain migrate --to supabase/pglite transfers all data between engines with manifest-based resume. Copies pages, chunks (with embeddings), tags, timeline, raw data, links, and config. --force overwrites non-empty target. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: 60 new tests for PGLite engine, utils, and factory 41 PGLite engine tests covering all 37 BrainEngine methods: CRUD, tsvector keyword search, pg_trgm fuzzy matching, chunk upsert with COALESCE, graph traversal via recursive CTE, transactions, cascade deletes, stats/health, and embedding round-trip. 14 shared utility tests (validateSlug, contentHash, row mappers). 5 engine factory tests (dispatch, error messages). All run in-memory — zero Docker, zero DATABASE_URL, instant in CI. Add P0 TODO: submit Bun PR for WASM embedding in bun build --compile (oven-sh/bun#15032). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.7.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update project documentation for v0.7.0 PGLite engine - CLAUDE.md: add PGLite key files, update architecture, add migrate command, add 3 test files - README.md: PGLite as default init, zero-config getting started, migration path to Supabase - docs/ENGINES.md: PGLiteEngine shipped (v0.7), capability matrix, migration docs - docs/SQLITE_ENGINE.md: marked superseded by PGLite Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: remove stale v0.4 README update prompt Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: remove SQLITE_ENGINE.md (superseded by PGLite) PGLite uses the same SQL as Postgres, making a separate SQLite engine unnecessary. docs/ENGINES.md covers PGLiteEngine. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update README step 2 to default to PGLite Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add schema setup step and install-all-integrations step to README Step 3 now tells agents to read GBRAIN_RECOMMENDED_SCHEMA.md and set up the MECE directory structure before importing. Step 7 tells agents to install every available integration recipe, not just list them. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update install goal to match full opinionated setup Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add 'Need an AI agent first?' section with one-click deploy links New users who don't have OpenClaw or Hermes Agent get pointed to AlphaClaw on Render and the Hermes Agent Railway template. One click each. Claude Code mentioned for users who already have it. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add migrate to CLI_ONLY + help output, fix standalone example - migrate command was missing from CLI_ONLY set (errored as "Unknown command") - migrate now shows in --help under SETUP - init help line shows --pglite flag - standalone CLI example uses gbrain init (not --supabase) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: set realistic time expectation (~30 min to working brain) DB is 2 seconds. But schema + import + embeddings + integrations is 15-30 minutes. The agent does the work, you answer API key questions. Don't oversell time-to-value. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: fix AlphaClaw Render requirement (8GB+ RAM, not free tier) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: final README polish for launch - GOAL line: "Garry Tan's exact setup" (not Claude Code specific) - Remove markdown links from code block (won't render) - STEP 2 renamed from "START HERE" to "DATABASE" - Tighten Supabase fallback text Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: remove duplicate old install block from README The v0.5-era "With OpenClaw or Hermes Agent" paste block was superseded by the top-level "Start here" block. Having both confused users and the old one still said --supabase as step 2. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: clean up README consistency and remove duplicated content - Remove duplicate "Try it" section (old 4-act walkthrough that repeated the install flow and contradicted "~30 min" with "90 sec") - Remove duplicate Setup section (third repetition of gbrain init) - Fix brain.db → brain.pglite (actual default path) - Fix "coming in v0.7" → "not yet implemented" (we ARE v0.7) - Remove "You don't need Postgres" (confusing since PGLite IS Postgres) - Deduplicate "competitive dynamics" query (appeared 3 times) - Collapse redundant standalone CLI section Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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8de04d3827 |
fix: community fix wave — 9 PRs, 8 contributors (v0.6.1) (#38)
* fix: validateSlug accepts ellipsis filenames, rejects only real path traversal Changed regex from /\.\./ to /(^|\/)\.\.($|\/)/ so filenames with "..." (like YouTube transcripts, TED talks, podcast titles) are no longer falsely rejected. The old regex matched ".." anywhere as a substring. The new one only matches ".." as a complete path component (e.g., ../foo, foo/../bar, bare ..). Fixes 1.2% silent data loss on real-world import corpora. Co-Authored-By: orendi84 <orendi84@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: import walker skips node_modules, handles broken symlinks, supports .mdx Three improvements to the file walker: - Skip node_modules directories (prevents crashes importing JS/TS projects) - try/catch around statSync for broken symlinks (warns and continues) - Accept .mdx files alongside .md (extends to slugifyPath and isSyncable) Co-Authored-By: mattbratos <mattbratos@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: init exits cleanly, auto-creates pgvector, updates Supabase UI hint Three init improvements: - process.stdin.pause() after reading URL input (prevents event loop hang) - Auto-run CREATE EXTENSION IF NOT EXISTS vector with fallback message - Update Supabase session pooler navigation hint to match current dashboard UI Co-Authored-By: changergosum <changergosum@users.noreply.github.com> Co-Authored-By: eric-hth <eric-hth@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * perf: parallelize keyword search with embedding pipeline Run keyword search concurrently with the embed+vector pipeline instead of sequentially. Keyword search has no embedding dependency so it can overlap with the OpenAI API call, saving ~200-500ms per search. Co-Authored-By: irresi <irresi@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: update Hermes Agent link to NousResearch GitHub repo Co-Authored-By: howardpen9 <howardpen9@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add community PR wave process to CLAUDE.md Documents the fix wave workflow: categorize, deduplicate, collector branch, test, close with context, ship as one PR with attribution. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: bump version and changelog (v0.6.1) Community fix wave: 9 PRs re-implemented with full test coverage. 6 bug fixes, 1 perf improvement, 2 feature additions, 8 contributors. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: migrate gstack from vendored to team mode Remove vendored .claude/skills/gstack/ from git tracking. The global install at ~/.claude/skills/gstack/ is the source of truth. Each developer runs `cd ~/.claude/skills/gstack && ./setup` to set up symlink stubs locally. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: untrack skill symlink stubs These are generated locally by gstack's ./setup script. Not project code. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: credit community contributors in CHANGELOG Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: update OpenClaw links from .com to .ai openclaw.com is a parked page. openclaw.ai is the real product. Co-Authored-By: joshua-morris <joshua-morris@users.noreply.github.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: orendi84 <orendi84@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: mattbratos <mattbratos@users.noreply.github.com> Co-authored-by: changergosum <changergosum@users.noreply.github.com> Co-authored-by: eric-hth <eric-hth@users.noreply.github.com> Co-authored-by: irresi <irresi@users.noreply.github.com> Co-authored-by: howardpen9 <howardpen9@users.noreply.github.com> Co-authored-by: joshua-morris <joshua-morris@users.noreply.github.com> |
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3e21e9b69b |
feat: GBrain v0.6.0 — Remote MCP Server + 12 Bug Fixes (#28)
* fix: 7 bug fixes from Issue #9 and #22 - fix(mcp): use ListToolsRequestSchema/CallToolRequestSchema instead of string literals (Issue #9, PR #25) - fix(mcp): handleToolCall reads dry_run from params instead of hardcoding false (#22 Bug #11) - fix(search): keyword search returns best chunk per page via DISTINCT ON, not all chunks (#22 Bug #8) - fix(search): dedup layer 1 keeps top 3 chunks per page instead of collapsing to 1 (#22 Bug #12) - fix(engine): transaction uses scoped engine via Object.create, no shared state mutation (#22 Bug #2) - fix(engine): upsertChunks uses UPSERT instead of DELETE+INSERT, preserves existing embeddings (#22 Bug #1) - fix(slugs): validateSlug normalizes to lowercase, pathToSlug lowercases consistently (#22 Bug #4) - schema: add unique index on content_chunks(page_id, chunk_index) for UPSERT support - schema: add access_tokens and mcp_request_log tables via migration Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: embed schema.sql at build time, remove fs dependency from initSchema initSchema() previously read schema.sql from disk at runtime via readFileSync, which broke in compiled Bun binaries and Deno Edge Functions. Now uses a generated schema-embedded.ts constant (run `bun run build:schema` to regenerate). - Removes fs and path imports from postgres-engine.ts and db.ts - Adds scripts/build-schema.sh for one-source-of-truth generation - Adds build:schema npm script Fixes Issue #22 Bug #6. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 5 more bug fixes from Issue #22 - fix(file_upload): call storage.upload() in all 3 paths (operation, CLI upload, CLI sync) with rollback semantics (#22 Bug #9) - fix(import): use atomic index counter for parallel queue instead of array.shift() race, preserve checkpoint on errors (#22 Bug #3) - fix(s3): replace unsigned fetch with @aws-sdk/client-s3 for proper SigV4 auth, supports R2/MinIO via forcePathStyle (#22 Bug #10) - fix(redirect): verify remote file exists before deleting local copy, skip files not found in storage (#22 Bug #5) - deps: add @aws-sdk/client-s3 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: remote MCP server via Supabase Edge Functions Deploy GBrain as a serverless remote MCP endpoint on your existing Supabase instance. One brain, accessible from Claude Desktop, Claude Code, Cowork, Perplexity Computer, and any MCP client. Zero new infrastructure. New files: - supabase/functions/gbrain-mcp/index.ts — Edge Function with Hono + MCP SDK - supabase/functions/gbrain-mcp/deno.json — Deno import map - src/edge-entry.ts — curated bundle entry point (excludes fs-dependent modules) - src/commands/auth.ts — standalone token management (create/list/revoke/test) - scripts/deploy-remote.sh — one-script deployment - .env.production.example — 3-value config template Changes: - config.ts: lazy-evaluate CONFIG_DIR (no homedir() at module scope) - schema.sql: add access_tokens + mcp_request_log tables - package.json: add build:edge script Auth: bearer tokens via access_tokens table (SHA-256 hashed, per-client, revocable) Transport: WebStandardStreamableHTTPServerTransport (stateless, Streamable HTTP) Health: /health endpoint (unauth: 200/503, auth: postgres/pgvector/openai checks) Excluded from remote: sync_brain, file_upload (may exceed 60s timeout) Setup: clone, fill .env.production, run scripts/deploy-remote.sh, create token, done. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: per-client MCP setup guides - docs/mcp/DEPLOY.md — deployment walkthrough, auth, troubleshooting, latency table - docs/mcp/CLAUDE_CODE.md — claude mcp add command - docs/mcp/CLAUDE_DESKTOP.md — Settings > Integrations (NOT JSON config!) - docs/mcp/CLAUDE_COWORK.md — remote + local bridge paths - docs/mcp/PERPLEXITY.md — Perplexity Computer connector setup - docs/mcp/CHATGPT.md — coming soon (requires OAuth 2.1, P0 TODO) - docs/mcp/ALTERNATIVES.md — Tailscale Funnel + ngrok self-hosted options Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.6.0) GBrain v0.6.0: Remote MCP server via Supabase Edge Functions + 12 bug fixes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add Remote MCP Server section to README Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: make document-release mandatory in CLAUDE.md, add MCP key files Post-ship requirements section: document-release is NOT optional. Lists every file that must be checked on every ship. A ship without updated docs is incomplete. Also adds remote MCP server files to Key files section. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: batch upsertChunks into single statement to prevent deadlocks The per-chunk UPSERT loop caused deadlocks under parallel workers because each INSERT ON CONFLICT acquired row-level locks sequentially. Multiple workers upserting different pages could deadlock on the shared unique index. Fix: batch all chunks into a single multi-row INSERT ON CONFLICT statement. One round-trip, one lock acquisition. COALESCE preserves existing embeddings when the new value is NULL. Fixes CI failure: "E2E: Parallel Import > parallel import with --workers 4" Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: advisory lock in initSchema() prevents deadlock on concurrent DDL When multiple processes call initSchema() concurrently (e.g., test setup + CLI subprocess, or parallel workers during E2E tests), the schema SQL's DROP TRIGGER + CREATE TRIGGER statements acquire AccessExclusiveLock on different tables, causing deadlocks. Fix: pg_advisory_lock(42) serializes all initSchema() calls within the same database. The lock is session-scoped and released in a finally block. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add explicit test timeouts for CLI subprocess E2E tests CLI subprocess tests (Setup Journey, Doctor Command, Parallel Import) spawn `bun run src/cli.ts` which takes several seconds to JIT compile + connect. The Bun test framework default 5000ms per-test timeout is too tight for CI. Added 30-60s timeouts matching each subprocess's own timeout to prevent false failures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: infinite recursion in config.ts exported getConfigDir/getConfigPath The replace_all refactor created recursive functions: the exported getConfigDir() called the private getConfigDir() which called itself. Renamed exports to configDir()/configPath() to avoid shadowing. Also adds scripts/smoke-test-mcp.ts — verified all 8 MCP tool calls work against a real Postgres database. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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912a321cfa |
GBrain v0.4.0 — production agent documentation + reference architecture (#10)
* fix: widen validateSlug to accept any filename characters Git is the system of record. Slugs are lowercased repo-relative paths. The restrictive regex rejected spaces, parens, and special chars, blocking 5,861 Apple Notes files from importing. Now only rejects empty slugs, path traversal (..), and leading slash. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: enable RLS on all tables with BYPASSRLS safety check Without RLS, the Supabase anon key gives full read access to the DB. Enable RLS on all 10 tables with no policies — the postgres role (used by gbrain via pooler) has BYPASSRLS and is unaffected. Only enables if the current role actually has BYPASSRLS privilege to avoid locking ourselves out on non-Supabase setups. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: import resilience — 5MB limit, error suppression, structured progress Raise MAX_FILE_SIZE from 1MB to 5MB for Apple Notes with attachments. Track error patterns and suppress after 5 identical errors to prevent 5,861 identical warnings from killing the agent process. Replace \r progress bar with structured log lines (rate, ETA) for agent parsing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: init detects IPv6-only Supabase URLs, adds pgvector check Detect db.*.supabase.co direct URLs and warn about IPv6 failure. On ECONNREFUSED/ETIMEDOUT to Supabase, suggest the Session pooler connection string with exact dashboard click path. Check for pgvector extension after connecting and fail with clear instructions if missing. Update wizard hints to show pooler URL format. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add pre-ship requirement for E2E tests E2E tests against real Postgres+pgvector must pass before /ship or /review. Adds the requirement to CLAUDE.md so all agents enforce it. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: parallel import with per-worker engine instances Refactor PostgresEngine to support instance-level DB connections instead of only the module-global singleton. Each worker gets its own connection with poolSize:2 (vs 10 for the main engine), so 8 workers = 16 connections. Add --workers N flag to gbrain import. Workers pull from a shared queue and use independent engine instances — no transaction context corruption. The bottleneck is network round-trips to Supabase (one per page upsert). Parallel workers cut import time proportionally. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: automatic schema migration runner Migrations are embedded as string constants in migrate.ts (survives Bun --compile). Each migration runs in a transaction for clean rollback on failure. Runs automatically on initSchema() — no manual step needed when a user updates the gbrain binary against an older DB. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: pluggable storage backend (S3 + Supabase Storage + local) Add StorageBackend interface with three implementations: - S3Storage: works with AWS S3, Cloudflare R2, MinIO (any S3-compatible) - SupabaseStorage: uses Supabase Storage REST API with service role key - LocalStorage: filesystem-based, for testing Add file-resolver.ts with fallback chain: local file → .redirect breadcrumb → .supabase marker → storage backend. Supports the three-stage migration (mirror → redirect → clean). Add yaml-lite.ts for parsing marker and breadcrumb files without adding a YAML dependency. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: gbrain doctor command — health checks with --json output Checks: connection, pgvector extension, RLS on all tables, schema version, embedding coverage. Outputs structured JSON with --json flag for agent parsing. Exit code 0 if healthy, 1 if issues found. Agents should run gbrain doctor --json when any command fails. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: rewrite setup skill + README for agent-first DX Setup skill: add Why Supabase, step-by-step project creation, explicit agent instructions (nohup for large imports, doctor on failure, don't ask for anon key), available init flags, file migration offer after first import. Remove ClawHub references. README: simplify to single OpenClaw install path, remove ClawHub, fix squatted npm name to github:garrytan/gbrain, add Supabase settings note about Session pooler. Add Apple Notes test fixtures with spaces and parens in filenames for E2E testing of the slug fix. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add RLS verification, schema health, and nohup hints to maintain skill Maintenance skill now checks RLS status and schema version as part of periodic health checks. Adds nohup pattern for large embedding refreshes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: import resume checkpoint + Supabase smart URL parsing Import resume: saves checkpoint every 100 files to ~/.gbrain/import-checkpoint.json. On restart with same directory and file count, skips already-processed files. Use --fresh to ignore checkpoint and start over. Cleared on successful completion. Supabase admin: extractProjectRef() parses any Supabase URL format (dashboard, direct, pooler, project URL) to extract the project ref. discoverPoolerUrl() uses the Management API to find the correct pooler connection string (including the exact region prefix). checkRls() verifies RLS status via the API. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add 56 unit tests for all new code 8 new test files covering every feature added in this branch: - slug-validation.test.ts: spaces, parens, unicode, path traversal (10 tests) - yaml-lite.test.ts: parse + stringify, marker/redirect formats (9 tests) - supabase-admin.test.ts: extractProjectRef for 4 URL formats (7 tests) - migrate.test.ts: version export, runMigrations callable (2 tests) - storage.test.ts: LocalStorage CRUD + createStorage factory (14 tests) - file-resolver.test.ts: fallback chain, redirect, marker parsing (6 tests) - import-resume.test.ts: checkpoint save/load/resume/fresh (6 tests) - doctor.test.ts: module export, CLI registration (3 tests) Total: 184 pass, 0 fail (up from 128). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: bulk chunk INSERT + E2E tests for all new features Bulk INSERT: upsertChunks now builds a multi-row VALUES query instead of inserting chunks one-by-one. Reduces DB round-trips by ~50x per page. E2E tests added to mechanical.test.ts: - Slug with special chars: import Apple Notes fixtures with spaces/parens, verify search finds them, verify idempotency - RLS verification: check pg_tables.rowsecurity on all tables, verify current user has BYPASSRLS - Doctor command: verify exit 0 on healthy DB, --json produces valid JSON with check structure - Parallel import: --workers 2 produces same page count as sequential Unit tests added: - setup-branching.test.ts: IPv6 detection, defaultWorkers auto-tuning, smart URL parsing across all Supabase URL formats Fixtures added: - large/big-file.md (2.1MB) for testing raised file size limit - apple-notes/ fixtures already existed Total: 200 pass, 0 fail (up from 184). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: --json on init/import, file migration CLI, lifecycle tests --json flag: init and import now support --json for structured output. Agents get parseable JSON instead of human-readable text. File migration CLI: implement mirror, unmirror, redirect, restore, clean, and status subcommands for the three-stage file migration lifecycle (local → mirrored → redirected → cloud-only). File migration tests: full lifecycle test covering every transition in the state machine (LOCAL → MIRROR → UNMIRROR → REDIRECT → RESTORE → CLEAN), including edge cases and file resolver at each stage. Bulk chunk INSERT: upsertChunks now builds multi-row parameterized VALUES query, reducing round-trips per page from ~50 to 1. Total: 207 pass, 0 fail. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: thorough E2E tests for parallel import concurrency Replace the weak single-comparison parallel import test with 7 tests: - Sequential baseline: capture page count, chunk count, and all slugs - --workers 2: verify page count matches sequential - Chunk count matches (no duplicates from concurrent writes) - Page slugs match exactly - No duplicate pages (SQL GROUP BY HAVING count > 1) - No duplicate chunks (SQL GROUP BY page_id, chunk_index) - --workers 4: also works correctly - Re-import with workers is idempotent These tests catch the exact bug Codex found (db.ts singleton causing concurrent transaction corruption) by verifying data integrity after parallel writes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add batch embedding queue as P1 TODO Deferred during eng review (per-worker embedding is good enough for now). Revisit after profiling real imports to confirm embedding is the bottleneck. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: E2E test failures — fixture counts, arg parsing, doctor exit code Fix fixture count assertions: 13 → 16 pages (added apple-notes + large file), companies 2 → 3 (ohmygreen), concepts 3 → 5 (notes, big-file). Fix --workers arg parsing: the worker count value (e.g. "2") was being picked up as the directory arg. Skip flag values when finding the dir. Fix doctor exit code: warnings (like missing embeddings) should exit 0, only actual failures exit 1. E2E tests import with --no-embed, so embeddings are always WARN. Fix E2E CLI tests: add initCli() before doctor and parallel import tests so ~/.gbrain/config.json exists for the subprocess. All E2E tests pass: 63 pass, 0 fail. All unit tests pass: 207 pass, 0 fail. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update project documentation for v0.4.0 New CHANGELOG entry for all post-0.3.0 features (doctor, storage backends, parallel import, resume checkpoints, RLS, schema migrations, --json output). Version bumped 0.3.0 → 0.4.0 across all manifests. CLAUDE.md: test count 9→19, skill count 8→7, added key files. CONTRIBUTING.md: fixture count 13→16, added missing source files. README.md: added gbrain doctor to commands, fixed stale welcome PRs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add GBRAIN_SKILLPACK.md reference architecture Production agent patterns from a real deployment with 14,700+ brain files. Covers: entity detection on every message, brain-first lookup protocol, 7-step enrichment pipeline with tiered API spend, compiled truth + timeline, source attribution with mandatory citations, meeting ingestion with entity propagation, cron schedule with quiet hours and travel-aware timezone, YouTube/media ingestion via Diarize.io, integration guides for ClawVisor, Circleback webhooks, and Quo/OpenPhone SMS. Opens with the Vannevar Bush memex framing and the originals folder for capturing intellectual capital. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: rewrite README opener with memex pitch and production architecture Replace code-first opener with mimetic-desire pitch: Vannevar Bush memex tagline, production brain numbers (10K+ files, 3K+ people, 13 years of calendar), "ask it anything" examples, compounding thesis. New sections: The Compounding Thesis (read-write loop), Architecture (three-column diagram), What a Production Agent Looks Like (SKILLPACK reference), How gbrain fits with OpenClaw (three-layer complement). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update skills with brain-first lookup, entity detection, heartbeat setup: Phase D rewritten with brain-first lookup protocol (gbrain search → query → get → grep fallback), sync-after-write rule, memory_search complement table. query: token-budget awareness (chunks not full pages), source precedence hierarchy (user > compiled truth > timeline > external). ingest: entity detection on every message (scan, check brain, create or enrich, commit and sync). maintain: heartbeat integration (doctor, embed --stale, sync verification, stale compiled truth detection). briefing: gbrain-native context loading (search attendees before meetings, search sender before email, daily deal/meeting/commitment queries). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add OpenClaw positioning to README opener Make it clear up top that GBrain is built for OpenClaw agents and works with any OpenClaw deployment. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: credit Karpathy's Knowledge LLM vision, add origin story GBrain started as Karpathy's LLM wiki idea built for real. Worked great until the brain hit thousands of files and grep fell apart. GBrain is the search layer that had to exist once the brain outgrew grep. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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a86f995883 |
feat: GBrain v0.3.0 — contract-first architecture + ClawHub plugin (#7)
* feat: contract-first operations.ts with OperationError, dry_run, importFromContent 30 shared operations as single source of truth for CLI and MCP. - OperationError with typed error codes (page_not_found, invalid_params, etc.) - dry_run support on all mutating operations - importFromContent split from importFile with transaction wrapping - Idempotency hash now includes ALL fields (title, type, frontmatter, tags) - Config env var fallback: GBRAIN_DATABASE_URL > DATABASE_URL > config file Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: rewrite MCP server + CLI + tools-json from operations server.ts: 233 -> ~80 lines. Tool definitions and dispatch generated from operations[]. cli.ts: shared operations auto-registered, CLI-only commands kept as manual dispatch. tools-json: generated FROM operations[], eliminating the third contract surface. Parity test verifies structural contract between operations, CLI, and MCP. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: delete 12 command files migrated to operations.ts Handler logic for get, put, delete, list, search, query, health, stats, tags, link, timeline, and version now lives in operations.ts. Kept: init, upgrade, import, export, files, embed, sync, serve, call, config. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: init --non-interactive, upgrade verification, schema migration - gbrain init --non-interactive --url <url> for plugin mode (no TTY required) - Post-upgrade version verification in gbrain upgrade - Drop storage_url from files table (storage_path is the only identifier) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: tool-agnostic skills + new setup skill All 7 skills rewritten with intent-based language instead of CLI commands. Works with both CLI and MCP plugin contexts. New setup skill replaces install: auto-provision Supabase via CLI, AGENTS.md injection, target TTHW < 2 min. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: ClawHub bundle plugin, CI workflows, v0.3.0 - openclaw.plugin.json with configSchema, MCP server config, skill listing - GitHub Actions: test on push/PR, multi-platform release (macOS arm64 + Linux x64) - Version bump 0.3.0, CHANGELOG, README ClawHub section, CLAUDE.md updated Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: idempotency hash mismatch + MCP dry_run passthrough importFromContent now passes its all-fields hash through putPage via content_hash on PageInput, so the stored hash matches the computed hash. Previously the skip-if-unchanged check never fired because the hash formulas differed. MCP server now passes dry_run from tool params to OperationContext. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.3.0.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: schema loader handles PL/pgSQL $$ blocks Delete the semicolon-based SQL splitter in db.ts which broke on PL/pgSQL trigger functions containing semicolons inside $$ delimiter blocks. Use single conn.unsafe(schemaSql) call instead — the postgres driver handles multi-statement SQL natively. schema.sql already uses IF NOT EXISTS / CREATE OR REPLACE for idempotency. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: E2E test infrastructure + realistic brain fixtures Add test infrastructure for running E2E tests against real Postgres+pgvector. Includes: - test/e2e/helpers.ts: DB lifecycle, fixture import, timing, diagnostics - 13 fixture files as a miniature realistic brain (people, companies, deals, meetings, concepts, projects, sources) following the compiled truth + timeline format from GBRAIN_RECOMMENDED_SCHEMA.md - docker-compose.test.yml: local pgvector convenience (port 5433) - .env.testing.example: template for test credentials - package.json: add test:e2e script Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: E2E test suites + CI workflow Tier 1 (mechanical.test.ts): 14 test suites covering all operations against real Postgres — page CRUD, search with quality scoring, links, tags, timeline, versions, admin, chunks, resolution, ingest log, raw data, files, idempotency stress, setup journey (full CLI flow), init edge cases, schema idempotency, schema diff guard, performance baselines. Tier 1 (mcp.test.ts): MCP protocol test — spawns server, sends JSON-RPC, verifies tools/list matches operations count. Tier 2 (skills.test.ts): OpenClaw skill tests — ingest, query, health. Skips gracefully when dependencies missing. CI (.github/workflows/e2e.yml): Tier 1 on every PR (pgvector service), Tier 2 nightly/manual with API key secrets. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: E2E test fixes + traverseGraph jsonb cast - Fix traverseGraph query: cast json_agg to jsonb_agg so SELECT DISTINCT works - Fix put_page tests to use importFromContent with noEmbed (no OpenAI key in Tier 1) - Fix get_health assertion (page_count not total_pages) - Fix raw_data test to handle JSONB string/object return - Simplify MCP test to verify tool generation directly - Add timeouts to CLI subprocess tests - Use port 5434 for docker-compose (5433 often in use) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: update all project docs for E2E test suite - CLAUDE.md: updated test count (9 unit + 3 E2E), added E2E test instructions, fixed skill count to 8 - CONTRIBUTING.md: updated project structure with test/e2e/, added E2E test instructions, rewrote "Adding a new command" to reflect contract-first architecture (add to operations.ts, done) - README.md: fixed table count (10 not 9), added recommended schema doc to Docs section, added E2E instructions to Contributing section - CHANGELOG.md: added E2E test suite, docker-compose, schema loader fix, and traverseGraph jsonb fix to v0.3.0 entry Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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ecebd5552a |
feat: GBrain v0.2.0 — incremental sync, file storage, install skill (#2)
* refactor: extract importFile from import.ts + add tag reconciliation Shared single-file import function used by both import and sync. Adds tag reconciliation (removes stale tags on reimport), >1MB file skip, and import->sync checkpoint continuity (writes git HEAD to config table after import so sync picks up seamlessly). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add sync pure functions, updateSlug engine method, and sync tests - buildSyncManifest: parses git diff --name-status -M output - isSyncable: filters to .md pages, excludes hidden/ops/.raw/skip-list - pathToSlug: converts file paths to page slugs with optional prefix - updateSlug: renames page slug in-place (preserves page_id, chunks, embeddings) - rewriteLinks: stub for v0.2 (FKs use page_id, already correct) - 20 new tests, all passing (39 total across 3 files) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add gbrain sync command with CLI, MCP, and watch mode 18-step sync protocol: read config, git pull, ancestry validation, git diff --name-status -M for net changes, isSyncable filter, process deletes/renames/adds/modifies via importFile, batch optimization, sync state checkpoint in Postgres config table. Watch mode with polling and consecutive error counter. MCP sync_brain tool returns structured SyncResult. Stale page deletion for un-syncable files. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add files table, gbrain files commands, and config show redaction - files table: page_slug FK with ON DELETE SET NULL + ON UPDATE CASCADE, storage_path, storage_url, mime_type, content_hash for dedup - gbrain files list/upload/sync/verify commands for Supabase Storage - gbrain config show redacts postgresql:// passwords and secret keys - CLI help updated with FILES section Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add install skill for GBrain onboarding 6-phase install workflow: environment discovery, Supabase setup (magic path via CLI OAuth or fallback 2-copy-paste), init + import, ongoing sync cron, optional file migration with mandatory verification, and agent teaching (AGENTS.md rules). Every error gets what + why + fix. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update project documentation for v0.2.0 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add v0.2 features to README (sync, files, install skill) README.md: added sync command to IMPORT/EXPORT section, added FILES section with 4 commands, added files table to schema diagram, added install skill to skills table, updated MCP tools count from 20 to 21 (sync_brain added). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: OpenClaw DX improvements (skill count, upgrade docs, config show help) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: consolidate version to single source of truth Create src/version.ts that reads from package.json via static import (safe for bun compiled binaries). Update mcp/server.ts from hardcoded '0.1.0' to use shared VERSION. Bump skills/manifest.json to 0.2.0. * fix: upgrade detection order, npm→bun naming, clawhub false positives Reorder detection: node_modules first, binary second, clawhub last. Rename 'npm' install method to 'bun'. Use 'clawhub --version' instead of 'which clawhub' to avoid false positives from dangling symlinks. Add 120s timeout to execSync calls to prevent hanging. Add --help flag. * feat: per-command --help, unknown command check before DB connection Add COMMAND_HELP map covering all 28 commands. Check --help before init/upgrade dispatch and before connectEngine() so help works without a database. Use COMMAND_HELP keys as known-command set to catch unknown commands before wasting a DB round-trip. * docs: standardize npm references to bun, add Upgrade section to README Fix init.ts: npx→bunx, npm→bun for supabase CLI guidance. Fix README: npm install→bun add for standalone CLI install. Add ## Upgrade section to README with all three install methods. Update install skill Upgrading section to list bun, ClawHub, and binary. * test: full coverage audit — CLI dispatch, upgrade detection, config, edge cases New test files: - test/cli.test.ts: COMMAND_HELP ↔ switch consistency, version from package.json, per-command --help, unknown command handling, global help - test/upgrade.test.ts: detection order verification, npm→bun naming, clawhub --version (not which), timeout presence - test/config.test.ts: redactUrl for postgresql URLs, edge cases Extended existing tests: - test/sync.test.ts: empty string pathToSlug, uppercase .MD rejection, deeply nested files, multiple renames, unknown status codes - test/markdown.test.ts: multiple --- separators, missing frontmatter, no frontmatter at all, empty string, type inference from paths Tests: 39 → 83 (+44 new). All pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: 100% coverage — import-file mock engine, files utils, chunker edge cases New test files: - test/import-file.test.ts (9 tests): mock BrainEngine to test importFile without DB — MAX_FILE_SIZE skip, content_hash dedup, tag reconciliation (remove stale + add new), compiled_truth/timeline chunking, noEmbed flag, sequential chunk_index - test/files.test.ts (22 tests): getMimeType for all extensions + uppercase + unknown + no-extension, fileHash consistency + different content + empty, collectFiles pattern (skip .md, skip hidden dirs, recurse, sorted output) Extended: - test/chunkers/recursive.test.ts (+6 tests): single newline splits, word-only text, clause delimiters, lossless preservation, default options, mixed delimiter hierarchy Tests: 83 → 118 (+35 new). All pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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b22cbd349a |
feat: GBrain v0.1.0 — Postgres-native personal knowledge brain (#1)
* chore: add CLAUDE.md with project context and gstack skill routing rules Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: initialize project with Bun + TypeScript package.json with dependencies (postgres, pgvector, openai, anthropic, MCP SDK, gray-matter). TypeScript config targeting ESNext with bundler module resolution. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add foundation layer — engine interface, Postgres engine, schema BrainEngine pluggable interface with full PostgresEngine: CRUD, search (keyword + vector), links, tags, timeline, versions, stats, health, ingest log, config. Trigger-based tsvector spanning pages + timeline_entries. Markdown parser with frontmatter, compiled_truth / timeline splitting, and round-trip serialization. 19 tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add 3-tier chunking and embedding service Recursive delimiter-aware chunker (5-level hierarchy, 300-word chunks, 50-word overlap). Semantic chunker with Savitzky-Golay boundary detection and recursive fallback. LLM-guided chunker via Claude Haiku with sliding window topic detection. OpenAI embedding service with batch support, exponential backoff, and rate limit handling. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add hybrid search with RRF fusion, expansion, and 4-layer dedup Hybrid search merges vector (pgvector HNSW) + keyword (tsvector) via Reciprocal Rank Fusion. Multi-query expansion via Claude Haiku generates 2 alternative phrasings. 4-layer dedup pipeline: by source, cosine similarity, type diversity (60% cap), per-page cap. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add GBRAIN_V0 spec, pluggable engine architecture, SQLite engine plan GBRAIN_V0.md: full product spec with architecture decisions, CLI commands, schema, search architecture, chunking strategies, first-time experience, and future plans. ENGINES.md: pluggable engine interface, capability matrix, how to add new backends. SQLITE_ENGINE.md: complete SQLite implementation plan with schema, FTS5 setup, vector search options, and contributor guide. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add CLI with all commands Full CLI dispatcher with 25+ commands: init (Supabase wizard), get, put, delete, list, search, query (hybrid RRF), import (bulk with progress bar), export (round-trip), embed, stats, health, tag/untag/tags, link/unlink/ backlinks/graph, timeline/timeline-add, history/revert, config, upgrade, serve, call. Smart slug resolution on reads. Version snapshots on updates. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add MCP stdio server with all brain tools 20 MCP tools mirroring CLI operations: get/put/delete/list pages, search (keyword), query (hybrid RRF + expansion), tags, links with graph traversal, timeline, stats, health, version history, and revert. Auto-chunks and embeds on put_page. CLI and MCP share the same engine. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add 6 skill files and ClawHub manifest Fat markdown skills for AI agents: ingest (meetings/docs/articles with timeline merge), query (3-layer search + synthesis + citations), maintain (health checks, stale detection, orphan audit), enrich (external API enrichment), briefing (daily briefing compilation), migrate (universal migration from Obsidian/Notion/Logseq/markdown/CSV/JSON/Roam). ClawHub manifest for skill distribution. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add README, CONTRIBUTING, update CLAUDE.md test references README with quickstart, commands, architecture, library usage, MCP setup, and links to design docs. CONTRIBUTING with setup, project structure, and guides for adding commands and engines. CLAUDE.md updated to reference actual test files instead of planned-but-unwritten import test. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address adversarial review findings — 5 critical/high fixes - revertToVersion: add page_id check to prevent cross-page data corruption - traverseGraph: use UNION instead of UNION ALL for cycle safety - embedAll: preserve all chunks when embedding stale subset only - embedding: throw on retry exhaustion instead of returning zero vectors - putPage: validate slugs to prevent path traversal on export Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.1.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: expand README with schema, install, search architecture, and motivation Why it exists, how search works (with ASCII diagram), full database schema with all 9 tables and index details, chunking strategies explained, storage estimates, setup wizard walkthrough, knowledge model with example page, library usage with more examples, expanded skills table. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: add MIT license (Copyright 2026 Garry Tan) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add OpenClaw install flow as primary option in README OpenClaw users just say "install gbrain" and the orchestrator handles everything: package install, Supabase setup wizard, skill registration. Shows the conversational interface for querying, ingesting, and briefings. ClawHub and standalone CLI paths follow as alternatives. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add prerequisites and explicit OpenClaw install instructions Prerequisites table listing Supabase, OpenAI, and Anthropic dependencies with links. Environment variable setup. Explicit step-by-step prompt for OpenClaw users showing exactly what to tell the orchestrator. Note that search degrades gracefully without API keys (keyword-only without OpenAI, no expansion without Anthropic). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: scrub named references, add PG essay demo section to README Replace all Pedro/Brex/Jensen Huang/River AI examples with Paul Graham essay examples using the kindling corpus. Add "Try it" section to README showing the power of hybrid search on PG essays in 90 seconds. Update test fixtures to use concept pages instead of person pages. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |