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Commits
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ff10796a00 |
fix(wave): v0.15.1 - 4 hot issues + scope expansion (#248)
* fix(wave): 4 hot issues + 3 scope expansions (v0.13.1) Addresses four user-filed regressions after v0.13.0 plus three adjacent footgun closures. * #170 — CREATE INDEX [CONCURRENTLY] IF NOT EXISTS idx_pages_updated_at_desc on pages (updated_at DESC). Engine-aware migration v12 with invalid-index cleanup on Postgres, plain CREATE on PGLite. ~700x on 30k+ row brains. Contributed by @fuleinist (#215). * #219 — Minions schema default max_stalled 1 -> 5. v13 migration ALTERs the default and UPDATEs existing non-terminal rows (waiting/active/ delayed/waiting-children/paused) so live queues get rescued on upgrade. Adds MinionJobInput.max_stalled with [1,100] clamp. New --max-stalled CLI flag on `jobs submit`. Reported by @macbotmini-eng. * #218 — package.json postinstall surfaces errors instead of silencing. trustedDependencies whitelists @electric-sql/pglite. doctor schema_version check fails loudly when migrations never ran and links to #218. README + INSTALL_FOR_AGENTS warn against `bun install -g`. Reported by @gopalpatel. * #223 — @electric-sql/pglite pinned to exactly 0.4.3 (was ^0.4.4). PGLiteEngine.connect() wraps PGlite.create() errors with a message pointing at the issue + gbrain doctor. Does NOT suggest 'missing migrations' as a cause (create-time abort happens before migrations run). Pin is unverified against macOS 26.3; error-wrap is the safety net. Reported by @AndreLYL. * Scope: `gbrain jobs submit` gains --backoff-type/--backoff-delay/ --backoff-jitter/--timeout-ms/--idempotency-key (MinionJobInput audit). * Scope: `gbrain jobs smoke --sigkill-rescue` regression case (opt-in, CI-only) that simulates a killed worker and asserts the new default rescues. * Scope: `gbrain doctor --index-audit` reports zero-scan Postgres indexes as drop candidates (informational; no auto-drop). Infrastructure: * Migration interface extended with sqlFor: { postgres?, pglite? } and transaction: boolean. Runner picks the engine-specific branch and bypasses engine.transaction() when transaction:false (required for CONCURRENTLY). BrainEngine.kind readonly discriminator added. * scripts/check-jsonb-pattern.sh CI guard extended to block `max_stalled DEFAULT 1` from regressing. Tests: * 15 new unit tests: v12/v13 structural + behavioral assertions, max_stalled default/clamp/backfill, PGLite error-wrap source guard, engine kind discriminator. * 3 regression tests pinned by IRON RULE. * Full unit suite: 1416 pass. * Full E2E suite against Postgres 16 + pgvector: 126 pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.13.1) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs: sync documentation for v0.13.1 CLAUDE.md "Key files" and "Commands" sections refreshed to match the v0.13.1 fix wave: - Note `BrainEngine.kind` discriminator on engine.ts - Document v0.13.1 connect() error-wrap on pglite-engine.ts - Refresh src/core/minions/ layout (no shell handler, no protected-names, no quiet-hours/stagger — that was v0.13-development scaffolding that did not ship) - Add src/core/migrate.ts entry with `Migration` interface extensions (`sqlFor`, `transaction: false`) - Document new `gbrain jobs submit` flags (--max-stalled, --backoff-type, --backoff-delay, --backoff-jitter, --timeout-ms, --idempotency-key) - Document `gbrain jobs smoke --sigkill-rescue` regression guard - Document `gbrain doctor --index-audit` and the schema_version=0 surface that catches #218 postinstall failures - Extend check-jsonb-pattern.sh note with the max_stalled DEFAULT 1 regression guard - Touch up test file blurbs for migrate.test.ts, pglite-engine.test.ts, minions.test.ts with v0.13.1 coverage Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(e2e): run files sequentially to eliminate shared-DB race The E2E suite was flaky. ~3 of every 5 runs had 4-10 failures clustered in Links, Timeline, Versions, Minions resilience, Parallel Import, and Page CRUD tests. Symptoms included "expected 16 pages, got 8" (half), "expected 1 link inserted, got 0", timeline entries missing after round-trip, and similar data-shape mismatches. Root cause: bun test runs test FILES in parallel (each in a worker process). 13 E2E files share one DATABASE_URL, and `setupDB()` in `test/e2e/helpers.ts` does `TRUNCATE ... CASCADE` on all tables before each file's `importFixtures()`. File A's TRUNCATE would race with file B's in-flight INSERT stream, producing the observed half-populated or wrong-count states. An earlier attempt used a Postgres advisory lock held on a dedicated single-connection client for the lifetime of each file's run. It broke because bun's default 5000 ms hook timeout fires on queued beforeAll() calls: with 13 files serializing through the lock, files 2-13 would time out waiting for file 1 to finish. This commit switches to sequential file execution at the harness level via scripts/run-e2e.sh, which loops through test/e2e/*.test.ts one at a time, tracks aggregate pass/fail counts, and exits non-zero on the first failing file. No lock, no timeout issues, no changes to any test file. package.json test:e2e points at the new script. Verified: 5 back-to-back runs against the same Postgres container, each completing in ~5 min. Every run: 13 files, 138 tests, 0 fails. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version to 0.15.1 (fix wave locked to MINOR line) Master v0.14.2 was the last /investigate root-cause wave on the v0.14.x line. This fix wave opens v0.15.x: four hot issues (#170, #218, #219, #223) close v0.13.x regressions that v0.14.x didn't cover, so the MINOR bump reflects the semantic shift — new schema migrations (v14, v15), a new CLI surface (`--max-stalled`, `--sigkill-rescue`, `--index-audit`), a new BrainEngine contract (`kind` discriminator + extended `Migration` interface), and a new install-time contract (PGLite 0.4.3 pin + `trustedDependencies`). Locked to 0.15.1 in advance: other work may land before/after this PR, but the version is fixed so reviewers can cite a stable number. 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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7f156c8873 |
feat: v0.15.0 llms.txt + llms-full.txt + AGENTS.md (#294)
* feat: llms.txt + llms-full.txt + AGENTS.md (v0.15.0) Ship three new public artifacts at the repo root so agents that aren't Claude Code can discover GBrain documentation cleanly: - AGENTS.md — ~45-line install + operating protocol for non-Claude agents (Codex, Cursor, OpenClaw, Aider). Covers install, read order, trust boundary, config/debug/migration pointers, fork regeneration. Uses relative links so it survives fork/rename. - llms.txt — llmstxt.org-spec index (H1 + blockquote + Core entry points / Configuration / Debugging / Migrations / Philosophy / Optional H2s). - llms-full.txt — same index with core docs inlined for single-fetch ingestion. ~225KB, well under the 600KB FULL_SIZE_BUDGET. Generator-driven via scripts/build-llms.ts + scripts/llms-config.ts. LLMS_REPO_BASE env var makes it fork-friendly. bun run build:llms regenerates both outputs deterministically. test/build-llms.test.ts has 7 cases: paths resolve on disk, generator idempotent, llms.txt spec shape, checked-in files match generator output (drift guard), content contract (RESOLVER / AGENTS / INSTALL referenced), AGENTS mirrors README + INSTALL_FOR_AGENTS install path, llms-full.txt under size budget. Leverage point per Codex review: README.md + INSTALL_FOR_AGENTS.md install prompts now tell agents to fetch AGENTS.md first. Without this, the new files were invisible. Drive-by fix: INSTALL_FOR_AGENTS.md:136 had `git pull origin main` while the repo's default branch is master (origin/HEAD -> master). Corrected. Plan + reviews: /plan-eng-review CLEARED, /codex adversarial review found 15 issues — 7 folded in directly, 3 user tension decisions, 5 stayed as NOT-in-scope with reasoning. Version bumps to 0.15.0 (new public-artifact feature surface per Step 12 of /ship feature-signal heuristic). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: normalize VERSION to 3-digit to match master master uses 3-digit semver (0.14.2); my earlier /ship bumped VERSION to the 4-digit gstack format (0.15.0.0). Revert to 0.15.0 to match package.json (already 3-digit) and master's convention. 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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ebfbd5e6f7 |
feat(doctor): proximity-based DRY detection + --fix auto-repair (v0.14.1) (#254)
* feat(doctor): proximity-based DRY detection + --fix auto-repair
Fixes false-positive DRY violations on skills that properly delegate
notability/filing rules to `skills/_brain-filing-rules.md`. The old
check only accepted `conventions/quality.md` as a valid delegation
target, leaving 9 skills flagged every run even though they delegate
correctly.
- CROSS_CUTTING_PATTERNS.conventions is now an array; notability gate
accepts both `conventions/quality.md` AND `_brain-filing-rules.md`
- New extractDelegationTargets() parses `> **Convention:**`,
`> **Filing rule:**`, and inline backtick references
- DRY suppression is proximity-based (K=40 lines) via DRY_PROXIMITY_LINES
- New src/core/dry-fix.ts module with autoFixDryViolations:
- expanders strategy map (bullet / blockquote / paragraph)
- 5 guards: working-tree-dirty, no-git-backup, inside-code-fence,
already-delegated, ambiguous-multi-match, block-is-callout
- execFileSync array args (no shell-injection surface)
- EOF newline preservation
- `gbrain doctor --fix` and `--dry-run` flags wire in via doctor.ts
- 31 new tests across dry-fix.test.ts (28 unit), check-resolvable.test.ts
(13 DRY detection + extraction), doctor-fix.test.ts (3 CLI integration)
* chore: bump version and changelog (v0.14.1)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: update project documentation for v0.14.1
CLAUDE.md:
- Added src/core/dry-fix.ts entry under Key files (expanders, guards,
execFileSync safety, EOF newline preservation).
- Updated src/commands/doctor.ts entry to cover --fix/--dry-run flags.
- Updated src/core/check-resolvable.ts entry to reflect array-valued
CROSS_CUTTING_PATTERNS.conventions, extractDelegationTargets(), and
proximity-based DRY suppression via DRY_PROXIMITY_LINES = 40.
- Added test/dry-fix.test.ts and test/doctor-fix.test.ts to the test
list, and annotated test/check-resolvable.test.ts with v0.14.1 cases.
README.md:
- ADMIN block: --fix now names what it actually fixes (DRY violations
via conventions delegation) and documents --dry-run.
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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5fd9cd2644 |
feat: shell job type + worker abort-path fix (v0.13.0) (#217)
* feat(minions): add protected-name constant + ctx.shutdownSignal
Introduce PROTECTED_JOB_NAMES ('shell') in a side-effect-free core module
so queue.ts can check it without importing from handlers/. MinionJobContext
gains shutdownSignal (distinct from signal) — handlers that need to run
SIGTERM-triggered cleanup subscribe to both; most handlers ignore shutdown
and run through the worker's 30s cleanup race to natural completion.
* fix(minions): MinionQueue.add gains trusted 4th arg + trim-normalized guard
Adds allowProtectedSubmit opt-in as a separate 4th parameter (NOT folded into
opts) so callers spreading user-provided opts ({...userOpts}) can't accidentally
carry the trust flag. PROTECTED_JOB_NAMES check runs on the trimmed name BEFORE
insert, closing the queue.add(' shell ', ...) whitespace bypass that would have
evaded a has(name) check.
* fix(minions): worker calls failJob on abort + wires ctx.shutdownSignal
Pre-v0.13.0 worker returned silently when ctx.signal.aborted fired, leaving
jobs in 'active' until stall sweep. Handlers using cooperative cancel had
no deterministic status flip — timeout/cancel/lock-loss all looked the same
from downstream callers (gbrain jobs get, --follow loops).
Fix: derive abort reason from abort.signal.reason ('timeout' | 'cancel' |
'lock-lost' | 'shutdown') and call failJob with 'aborted: <reason>' text.
failJob is idempotent via token+status match, so no-op when another path
already flipped status (handleTimeouts, cancelJob, stall).
Also: new shutdownAbort (instance-level AbortController) fires on process
SIGTERM/SIGINT and propagates to every handler's ctx.shutdownSignal.
Shell handler listens to both signals and runs SIGTERM→5s→SIGKILL on its
child on either; other handlers only listen to ctx.signal so deploy
restarts don't cancel them mid-flight.
* feat(minions): add shell job handler + submission audit log
New 'shell' job type spawns arbitrary commands under the Minions worker.
Deterministic cron scripts (API fetch, token refresh, scrape+write) can
move off the LLM gateway — zero Opus tokens per fire.
Handler contract:
- cmd or argv (exactly one required). cmd spawns via /bin/sh -c (absolute
path, not 'sh', to block PATH-override shell substitution). argv spawns
direct with no shell.
- cwd required, must be absolute. Operator-trust boundary.
- env defaults to SHELL_ENV_ALLOWLIST ({PATH, HOME, USER, LANG, TZ,
NODE_ENV}) picked from process.env, with caller overrides merged on top.
Prevents accidental $OPENAI_API_KEY interpolation into scripts.
- stdout/stderr retained as UTF-8-safe tails (64KB/16KB) via
string_decoder.StringDecoder. Prepends [truncated N bytes] marker.
- Abort (either ctx.signal or ctx.shutdownSignal) fires SIGTERM → 5s grace
→ SIGKILL on child. Timer NOT .unref'd so worker's 30s race waits for
the child to actually die.
shell-audit.ts writes a JSONL line per submission to
~/.gbrain/audit/shell-jobs-YYYY-Www.jsonl (ISO-week rotated, override via
GBRAIN_AUDIT_DIR). argv logged as JSON array (not space-joined, which would
flatten args with spaces). Never logs env values. Best-effort writes:
failures log to stderr but don't block submission.
* feat(jobs): submit_job MCP guard + CLI --timeout-ms + starvation warning
submit_job operation gains timeout_ms param (was missing — couldn't plumb
the existing MinionJobInput field through from either CLI or MCP). When
ctx.remote=true and name is in PROTECTED_JOB_NAMES, throws
OperationError('permission_denied'). Combined with the queue.add trusted
guard, MCP callers can never submit shell jobs even if the env flag is on.
CLI submit: new --timeout-ms N flag. Passes {allowProtectedSubmit:true}
as the 4th arg to queue.add only when the submitted name is protected
(not blanket-set for every job). Prints a starvation-warning block to
stderr when a shell job is submitted without --follow, pointing at both
--follow and 'gbrain jobs work' remediation. Fires for every shell submit
regardless of the submitter's env — the submitter env is a weak proxy for
the worker env.
Worker handler registration: conditional on GBRAIN_ALLOW_SHELL_JOBS=1.
Default: off. 'gbrain jobs submit --help' now lists handler types with a
pointer to docs/guides/minions-shell-jobs.md for shell.
* test(minions): 40 unit + 4 E2E cases for shell handler
Unit (test/minions-shell.test.ts):
- Protected names: trim-normalized, case-sensitive, whitespace bypass defense
- MinionQueue.add: trusted opt-in, whitespace bypass, non-protected untouched
- Handler validation: cmd|argv exclusive, cwd required/absolute, env strings
- Spawn: cmd/argv happy paths, non-zero exit, ENOENT, result shape
- Env allowlist: leaked-secret blocked, PATH inherited, caller override
- Abort: ctx.signal, ctx.shutdownSignal, pre-aborted signal
- Audit: ISO-week year boundary (2027-01-01 → W53 2026), mid-year W52/W53,
GBRAIN_AUDIT_DIR override, argv as JSON array, env never logged, EACCES
non-blocking
- Output truncation: 100KB → last 64KB with [truncated N bytes] marker
E2E (test/e2e/minions-shell.test.ts):
- Full lifecycle: submit → worker claim → spawn → complete
- MinionQueue.add without trusted arg throws (including whitespace bypass)
- submit_job with ctx.remote=true rejects shell (MCP guard)
- submit_job with ctx.remote=false allows shell (CLI path)
* chore: bump version and changelog (v0.13.0)
Move gateway crons to Minions. Zero LLM tokens per cron fire.
Worker abort path finally marks aborted jobs dead.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: reframe v0.13.0 copy for OpenClaw operators (not Wintermute-specific)
gbrain is an open-source product for any OpenClaw/Hermes operator, not
Garry's personal Wintermute deployment. Rewords the v0.13.0 CHANGELOG
entry, the minions-shell-jobs guide, and the deferred TODOS entries to
speak to "your OpenClaw" / "OpenClaw operators" instead.
Replaces /data/wintermute cwd examples with the canonical
/data/.openclaw/workspace path. Pre-existing Wintermute references in
older CHANGELOG entries (v0.11/v0.10.3) left unchanged.
* feat(migrations): add v0.13.0 adoption playbook for shell jobs
Adding the migration file the CEO review originally scoped out. Without
it, operators upgrade to v0.13.0 and the capability ships but adoption
doesn't happen — the 60% gateway CPU reduction only lands if someone
actually rewrites their crontab.
skills/migrations/v0.13.0.md is the instruction manual the host agent
reads on gbrain upgrade:
- Enable worker: GBRAIN_ALLOW_SHELL_JOBS=1 gbrain jobs work (Postgres)
or per-tick --follow (PGLite)
- Audit cron manifest: classify LLM-requiring vs deterministic
- Propose per-cron rewrites with diffs, approved one at a time
- Env allowlist guidance for scripts that need API keys
- Verification playbook: run one fire, compare pre/post, only then
approve the next batch
- Starvation sanity-check runbook item
Iron rules: never auto-rewrite the operator's crontab (host-specific
code per CLAUDE.md). LLM-requiring crons stay on the gateway. Ambiguous
cases ask the operator.
No mechanical orchestrator ships with this migration — every rewrite
is operator judgment. A future gbrain crontab-to-minions helper is
tracked in TODOS.md as P1.
* docs: sync UPGRADING + SKILLPACK with v0.13.0 shell jobs
UPGRADING_DOWNSTREAM_AGENTS.md: append v0.13.0 section per the file's
convention (each release appends). No skill edits required, feature is
off-by-default, optional adoption via skills/migrations/v0.13.0.md.
Lists typical LLM-vs-deterministic classifications so operators know
which of their crons are candidates for migration.
GBRAIN_SKILLPACK.md: add shell-jobs guide row to the cron/Minions guide
table so it's discoverable alongside existing Cron via Minions, Plugin
Handlers, and Minions fix guides.
---------
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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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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e5a9f0126a |
feat: GStackBrain — 16 new skills, resolver, conventions, identity layer (v0.10.0) (#120)
* 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> * docs: README rewrite with production brain stats, sample output, new infrastructure Lead with the flex: 17,888 pages, 4,383 people, 723 companies, 526 meeting transcripts built in 12 days. Show sample query output so readers see what they'll get. Document self-improving infrastructure (tier auto-escalation, fail-improve loop, doctor trajectory). Add data-research recipes to Getting Data In. Update commands section with doctor --fix, transcribe, research init/list. Fix stale "24" references to "25". Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: README lead with YC President origin and production agent deployments Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: README lead with skill philosophy and link to Thin Harness Fat Skills Skills section now explains: skill files are code, they encode entire workflows, they call deterministic TypeScript for the parts that shouldn't be LLM judgment. Links to the tweet and the architecture essay. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: link GStack repo, add 70K stars and 30K daily users Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: remove meeting transcript count from README (sensitive) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: README lead with YC President origin and production agent deployments Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: rename political-donations recipe to expense-tracker (sensitivity) Renamed the built-in data-research recipe from political-donations to expense-tracker across README, CHANGELOG, SKILL.md, and reports routing. Same extraction patterns (amounts, dates, recipients), neutral framing. Also renamed social-radar keyword route to social-mentions. 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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Anurag GoelandGitHub
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fa62e61994 | Fix path to OpenClaw repo (#79) | ||
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Garry TanandClaude Opus 4.6
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784b582c6d |
docs: fix install block from agent feedback
- Anthropic key is optional (graceful fallback), not required - Remove fragile shell sourcing, add PATH export + restart note - Integrations: ask user which ones, not "set up EVERY recipe" - Note gbrain integrations doctor needs at least one configured Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry TanandClaude Opus 4.6
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7d49b8b696 |
docs: rewrite install block for agent success
Clone-based install (repo is home base, upgrades via git pull). Repo URL prominent. API keys called out explicitly. Brain repo vs tool repo confusion eliminated. Shell compatibility fixed. Cron jobs named with frequencies. Dream cycle highlighted as the thing that makes the brain compound. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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91ced664b6 |
feat: Voice v0.8.0 + feature discovery + Edge Function removal (#55)
* chore: remove Supabase Edge Function MCP deployment The Edge Function never worked reliably. All MCP traffic goes through self-hosted server + ngrok tunnel. Removes deploy-remote.sh, edge-entry.ts, supabase/functions/, .env.production.example, and CHATGPT.md (OAuth not implemented). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: rewrite MCP docs for self-hosted + ngrok deployment All per-client guides updated from Edge Function URLs to self-hosted server + ngrok tunnel pattern. DEPLOY.md rewritten with local vs remote paths. ALTERNATIVES.md now shows self-hosted as primary, with ngrok, Tailscale, and Fly.io/Railway comparison. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: voice recipe v0.8.0 — 25 production patterns from real deployment Identity separation, pre-computed bid system, conversation timing fix, proactive advisor mode, radical prompt compression, OpenAI Realtime Prompting Guide structure, auth-before-speech, brain escalation, stuck watchdog, never-hang-up rule, thinking sounds, fallback TwiML, tool set architecture, trusted user auth, caller routing, dynamic VAD, on-screen debug UI, live moment capture, belt-and-suspenders post-call, mandatory 3-step post-call, WebRTC parity, dual API events, report-aware query routing. WebRTC pseudocode updated with native FormData and 6 gotchas. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: post-upgrade feature discovery framework upgrade.ts captures old version before upgrading, then execs gbrain post-upgrade (new binary) to read migration files and print feature pitches. Migration files get YAML frontmatter with feature_pitch field (headline, description, recipe, tiers). CLI prints excited builder tone post-upgrade. v0.8.0 migration offers voice setup with environment detection (server vs local) and 3-tier progressive disclosure. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add Voice section to README with WebRTC screenshot + tweet link Her out of the box: voice-to-brain with 25 production patterns. WebRTC client screenshot embedded. Remote MCP section rewritten for self-hosted + ngrok. Setup block genericized. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add recipe validation tests + genericize personal refs 5 new integration tests: secrets completeness, semver version, requires resolution, all-recipes-parse, no-personal-references. Test fixture genericized. CLAUDE.md/TODOS.md/SKILLPACK updated for v0.8.0. build:edge script removed from package.json. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.8.0) 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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0ca2e86acb |
docs: remove Claude Code from agent recommendations (#43)
GBrain needs a persistent agent for cron jobs, background sync, and dream cycles. Claude Code is session-based so those features won't work. Recommending it leads to a bad first experience. Co-authored-by: Claude Opus 4.6 (1M context) <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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ce15062694 |
feat: GBrain v0.7.0 — Integration Recipes + SKILLPACK Breakout (#39)
* docs: break SKILLPACK into 17 individual guides The 1,281-line SKILLPACK monolith is now 17 individually linkable guides in docs/guides/, organized by category: core patterns, data pipelines, operations, search, and administration. GBRAIN_SKILLPACK.md becomes a structured index with categorized tables linking to each guide. The URL stays stable for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add integration guides, architecture docs, and ethos New documentation directories: - docs/integrations/ — "Getting Data In" landing page, credential gateway, meeting webhooks. Includes recipe format documentation. - docs/architecture/ — Infrastructure layer doc (import, chunk, embed, search) - docs/ethos/ — "Thin Harness, Fat Skills" essay with agent decision guide - docs/designs/ — "Homebrew for Personal AI" 10-star vision document Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add gbrain integrations command + voice-to-brain recipe New CLI command: gbrain integrations (list/show/status/doctor/stats/test) - Standalone command, no database connection needed - Uses gray-matter directly for recipe parsing (not parseMarkdown) - --json flag on every subcommand for agent-parseable output - Bare command shows senses/reflexes dashboard - Health heartbeat via ~/.gbrain/integrations/<id>/heartbeat.jsonl First recipe: recipes/twilio-voice-brain.md - Phone calls create brain pages via Twilio + OpenAI Realtime - Opinionated defaults: caller screening, brain-first lookup, quiet hours - Outbound call smoke test (GBrain calls the user to prove it works) - Validate-as-you-go credential testing - Twilio signature validation for webhook security Migration file for v0.7.0 with agent-readable changelog. 13 unit tests covering parseRecipe, CLI routing, and recipe validation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add Getting Data In to README, update CLAUDE.md and manifest README: voice calls in intro bullet list, new "Getting Data In" section with integration table (voice, email, X, calendar) and recipe philosophy. CLAUDE.md: reference new files (integrations.ts, recipes/, docs/guides/, docs/integrations/, docs/architecture/, docs/ethos/). manifest.json: bump to v0.7.0, add recipes_dir field. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: v0.7.0 CHANGELOG, TODOS, VERSION bump CHANGELOG: v0.7.0 entry covering integration recipes, voice-to-brain, gbrain integrations command, SKILLPACK breakout, and new documentation. TODOS: 3 new items from CEO/DX reviews (constrained health_check DSL, community recipe submission, always-on deployment recipes). VERSION + package.json: bump to 0.7.0. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: rewrite voice recipe with agent instructions and verified links Major improvements to recipes/twilio-voice-brain.md: - Agent preamble: explains WHY sequential execution matters (each step depends on the previous), defines 4 stop points where the agent MUST pause and verify, tells agent to never say "something went wrong" but instead explain the exact error and fix - User actions are now specific: exact URLs for every credential (Twilio console, OpenAI API keys page, ngrok dashboard), what buttons to click, what fields to copy, common failure modes - All URLs verified via web search against current 2026 documentation: Twilio SID/token at twilio.com/console, OpenAI keys at platform.openai.com/api-keys, ngrok token at dashboard.ngrok.com/get-started/your-authtoken - Cost estimate corrected: OpenAI Realtime is $0.06/min input + $0.24/min output (was understated), total ~$20-22/mo for 100 min - Validate-as-you-go: each credential tested immediately with exact curl commands, failure messages explain what went wrong and how to fix - Smoke test flow: tells user exactly what to say, verifies ALL three outputs (messaging notification + brain page + search result) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add "Homebrew for Personal AI" essay (markdown is code) New essay at docs/ethos/MARKDOWN_SKILLS_AS_RECIPES.md — the distribution corollary to "Thin Harness, Fat Skills." Argues that markdown skill files are simultaneously documentation, specification, package, and source code. The agent is the package manager. The git repo is the app store. Referenced from SKILLPACK index and CLAUDE.md. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: rewrite agent instructions as command language, promote skills The OpenClaw/Hermes install block is now a drill sergeant, not a tour guide. Every step is an imperative command with exact verification criteria and explicit stop-on-failure behavior. No FYI, no suggestions, just rails. Key changes: - 11-step setup with STOP points after each step - Exact user instructions for Supabase connection string (what to click, what NOT to give the agent, what the string looks like) - "Verify: run X. You must see Y. If not: Z" after every step - Skills table now links to both skill files AND guide docs - Integration recipes table simplified (no "coming soon" placeholders) - Docs section reorganized: for agents / for humans / reference Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 4 codex findings + add email-to-brain recipe Codex review found 4 issues, all fixed: 1. getStatus() returned "configured" if ANY secret was set (e.g. just OPENAI_API_KEY). Now requires ALL required secrets before marking configured. Prevents false "configured" status and spurious doctor runs. 2. Twilio health check hit unauthenticated endpoint (always 401). Now uses authenticated curl with SID:token, matching the setup validation. 3. README anchor docs/GBRAIN_SKILLPACK.md#the-dream-cycle broken after SKILLPACK rewrite. Updated to point to docs/guides/cron-schedule.md. 4. Compiled binary can't find recipes/ via import.meta.dir. Added GBRAIN_RECIPES_DIR env var override + global bun install path fallback. Also adds recipes/email-to-brain.md: Gmail deterministic collector pattern with ClawVisor credential gateway, validate-as-you-go, agent instructions. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add email, X, calendar, and meeting sync recipes Four new integration recipes extracted from production wintermute patterns: - recipes/email-to-brain.md: Gmail via ClawVisor, deterministic collector pattern (code pulls emails with baked-in links, agent does judgment), noise filtering, signature detection, digest generation - recipes/x-to-brain.md: X API v2, timeline + mentions + keyword search, deletion detection (diffs previous run, verifies 404), engagement velocity tracking, rate limit awareness - recipes/calendar-to-brain.md: Google Calendar via ClawVisor, historical backfill (years of data), daily markdown files with attendees + locations, attendee enrichment for brain pages - recipes/meeting-sync.md: Circleback API, transcript import with speaker labels, attendee detection + filtering, entity propagation to people/ company pages, action item extraction, idempotent by source_id All recipes follow the same format: agent preamble with sequential execution rules, validate-as-you-go credentials, exact URLs for API key setup, stop-on-failure verification, and heartbeat logging. Updated README, SKILLPACK index, and integrations landing page with all 5 recipes. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add Google OAuth as alternative to ClawVisor in email + calendar recipes Both recipes now offer two auth options: - Option A: ClawVisor (recommended, handles OAuth + token refresh) - Option B: Google OAuth2 directly (no extra service, you manage tokens) Option B includes step-by-step instructions for Google Cloud Console: exact URLs, which buttons to click, which scopes to add, how to enable the API, and the OAuth flow for token exchange. This removes ClawVisor as a hard dependency for getting started. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add implementation guides with pseudocode and test suggestions Every recipe now includes an "Implementation Guide" section with: - Production-tested pseudocode the agent can follow to build each collector - Edge cases and failure modes discovered in real deployment - Non-obvious implementation details (why the 48h staleness heuristic, why Gmail links need authuser, why SSE responses need double-parsing) - Test suggestions: what the agent should verify after setup email-to-brain: noise filtering algorithm, signature detection patterns, Gmail link generation (authuser is critical), sent-mail dedup x-to-brain: deletion detection with 3 heuristics (7-day, 48h staleness, API verification), engagement velocity thresholds (50 min for 2x, 100 absolute jump), atomic writes, stdout contract, rate limit handling calendar-to-brain: smart chunking (monthly for sparse years, weekly for dense), attendee filtering (rooms, groups, distros), merge-with-existing (only replace ## Calendar section), date/time parsing edge cases meeting-sync: SSE double-JSON parsing, idempotency double-check (grep + filename), auto-tagging from meeting names, git commit after sync Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: 6 new guides from production patterns (wintermute extraction) New guides extracted and generalized from production deployment: - repo-architecture.md: Two-repo pattern (agent behavior vs world knowledge). Strict boundary rules, decision tree, hard rule: never write knowledge to the agent repo. - sub-agent-routing.md: Model routing table by task type. Signal detector pattern (spawn Sonnet on every message). Research pipeline pattern (Opus plans, DeepSeek executes, Opus synthesizes). Cost optimization. - skill-development.md: 5-step cycle (concept, prototype, evaluate, codify, cron). MECE discipline (no overlapping skills). Quality bar checklist. "If you ask twice, it should already be a skill." - idea-capture.md: Originality distribution rating (0-100 across 4 populations). Depth test ("could someone unfamiliar understand WHY?"). Deep cross-linking mandate. Notability filtering. - quiet-hours.md: Hold notifications 11pm-8am local time. Held messages directory pattern. Timezone-aware delivery. Morning briefing pickup. - diligence-ingestion.md: 9-step pipeline for data room materials. Detection patterns (PDF filenames, spreadsheet tabs, user language). Index.md template with bull/bear case. Company page enrichment. All PII scrubbed. Patterns generalized for any user. SKILLPACK index updated with 6 new entries. CLAUDE.md references added. All 37 SKILLPACK links verified. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: upgrade all guides to operational playbooks with pseudocode Every guide now follows the playbook structure: - Goal: one sentence, what this achieves - What the User Gets: without this / with this - Implementation: pseudocode with actual gbrain commands - Tricky Spots: production-tested gotchas - How to Verify: test steps the agent runs after setup Guides upgraded (15 files): - brain-agent-loop: on_message() loop with read/write/sync pseudocode - brain-first-lookup: 4-step lookup cascade with exact commands - brain-vs-memory: routing algorithm for 3 knowledge layers - compiled-truth: page structure + rewrite vs append rules - content-media: 3 ingest patterns (YouTube, social, PDFs) - cron-schedule: full schedule table + dream cycle pseudocode - enrichment-pipeline: 7-step protocol with tier classification - entity-detection: spawn pattern + detection prompt + notability filter - executive-assistant: 3 workflow algorithms (triage, prep, post-inbox) - meeting-ingestion: 6-step transcript-to-brain flow - operational-disciplines: 5 executable discipline blocks - originals-folder: detection + exact-phrasing capture + cross-linking - search-modes: decision tree for keyword vs hybrid vs direct - source-attribution: citation format + hierarchy + conflict resolution - Plus Goal/What User Gets headers on 6 newer guides Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add WebRTC to voice recipe + ngrok Hobby setup guide Voice recipe updates: - Added WebRTC endpoint (POST /session, GET /call, POST /tool) for browser-based calling with RNNoise noise suppression - WebRTC pseudocode with the 4 non-obvious gotchas from production (voice under audio.output.voice, no turn_detection, no session.update on connect, trigger greeting via data channel) - Recommend ngrok Hobby ($8/mo) for fixed domain instead of free tier - Fixed domain means URLs never change, Twilio never breaks New guide: docs/mcp/NGROK_SETUP.md - How to set up ngrok Hobby for both MCP and voice agent - Fixed domain setup, watchdog pattern, AI client configuration - Claude Desktop requires Settings > Integrations (not JSON config) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add dependency graph + ngrok-tunnel + credential-gateway recipes Recipes now have real dependencies via the `requires` field: - voice-to-brain requires ngrok-tunnel (needs public URL for Twilio) - email-to-brain requires credential-gateway (needs Gmail access) - calendar-to-brain requires credential-gateway (needs Calendar access) - x-to-brain and meeting-sync are standalone (direct API keys) Two new infrastructure recipes: - ngrok-tunnel: fixed public URL for MCP + voice. Recommends Hobby ($8/mo) for a domain that never changes. Includes watchdog pattern. - credential-gateway: secure Google service access via ClawVisor (recommended) or direct OAuth2. One setup, all Google recipes use it. Moved ngrok from docs/mcp/ to recipes/ — it's shared infrastructure, not MCP-specific. README and integrations landing page show dependency chains. When agent installs voice-to-brain, it sets up ngrok-tunnel first. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add infra category, fix dashboard alignment, show dependencies DX audit found two bugs in gbrain integrations dashboard: 1. Column alignment broken — IDs > 18 chars ran into descriptions with no space. Fixed: pad to 22 chars. 2. ngrok-tunnel and credential-gateway showed as SENSES but they're infrastructure. Added 'infra' category. Dashboard now shows three sections: INFRASTRUCTURE (set up first), SENSES, REFLEXES. 3. Dependencies now shown inline: "AVAILABLE (needs credential-gateway)" Also added 'requires' field to JSON output for agent consumption. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add frontier model requirement disclaimer to README GBrain's markdown-is-code approach requires models capable of interpreting intent and implementing from architecture descriptions. Tested with Claude Opus 4.6 and GPT-5.4 Thinking. Smaller models will struggle with the recipe format. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add PGLite → Supabase upgrade path to README Clarify the database progression: start with PGLite (Postgres as WASM, zero infrastructure, pgvector built in, nothing to install). Graduate to Supabase or self-hosted Postgres when you need connection pooling, concurrency, and remote MCP access from Claude Desktop, Cowork, ChatGPT, Perplexity Computer, or any MCP-compatible agent. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: revert PGLite mention (coming in next branch) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: make all 23 guides consistent (Goal/Impl/Tricky/Verify) Every guide now has exactly these sections in this order: - ## Goal (one sentence) - ## What the User Gets (without this / with this) - ## Implementation (pseudocode with gbrain commands) - ## Tricky Spots (3-5 numbered gotchas) - ## How to Verify (3-5 numbered test steps) 11 guides restructured from non-standard headings: - deterministic-collectors, live-sync, upgrades-auto-update (full rewrites) - entity-detection, diligence-ingestion, idea-capture, quiet-hours, repo-architecture, skill-development, sub-agent-routing (restructured) 23/23 guides now pass consistency audit. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: restructure README around the #1 blocker (getting data in) The README was leading with Postgres and database architecture. Most users are stuck at step zero: "I have an agent but it doesn't know anything about my life." New structure: 1. The Problem — your agent doesn't know your life 2. Getting Data In — integration recipes, front and center 3. The Compounding Thesis — why this matters 4. How this happened — credibility, origin story 5. When you need Postgres — scale, not starting point Postgres is de-emphasized from a full section to two paragraphs: "You don't need Postgres to start" and "When you need Postgres" (1,000+ files, remote MCP access, multiple AI clients). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: move Install to top of README, remove duplicate section Install now appears right after Getting Data In (line 38), not buried at line 295. The user sees: Problem → Getting Data In → Install. Removed the duplicate Install section (262 lines) that was lower in the README. The agent instructions block, CLI quickstart, and all content is now in the single Install section near the top. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: move agent install block to first thing in README "Start here: paste this into your agent" is now the first section, right after the one-line pitch. No scrolling, no context, no preamble. User opens the README, sees the paste block, copies it into OpenClaw or Hermes, and the agent takes over. Flow: pitch → paste block → Getting Data In → Compounding Thesis → origin story Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: compress install block from 11 steps to 5 The agent install block was 102 lines and 11 steps. Now it's 40 lines and 5 steps. Same coverage, half the text. Changes: - Merged "prove keyword search" + "embed" + "prove hybrid search" into one SEARCH step (the user doesn't care about the intermediate) - Merged skillpack, sync, auto-update, integrations, verification into one GO LIVE step with sub-items (post-install polish, not install) - Shortened database instructions (one line instead of 5 sub-steps) - Removed redundant preamble ("YOU MUST COMPLETE EVERY STEP" is now just "Do not skip steps. Verify each step.") The 5 steps: INSTALL → DATABASE → IMPORT → SEARCH → GO LIVE Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * security: gitignore all .env files, not just specific ones CSO audit found .gitignore covered .env.testing and .env.production but not bare .env. A user creating .env with database credentials could accidentally commit it. Fix: .env and .env.* are now gitignored. .env.*.example files are explicitly un-ignored so templates remain tracked. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * security: scrub PII from essay and recipe examples - 510-MY-GARRY phone mnemonic → "Your Phone Number" - "Garry → Authenticated Mode" → "Owner → Authenticated Mode" - "Telegram" → "secure channel" in auth example - @garrytan → @yourhandle in X recipe example 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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e9f3c9c24d |
docs: live sync setup + verification runbook + API key loading (#24)
* docs: add SKILLPACK Section 18 — Live Sync (MUST ADD) Contract-first guide for keeping the vector DB in sync with the brain repo. Documents the pooler prerequisite (Session mode required for transactions), sync + embed primitives, four example approaches (cron, --watch, webhook, git hook), isSyncable exclusions, silent skip warning, and OpenClaw/Hermes cron registration examples. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add GBRAIN_VERIFY.md installation verification runbook Six-check runbook: schema (doctor), skillpack loaded, auto-update, live sync (coverage check + embed check + end-to-end push-and-search test), embedding coverage, brain-first lookup protocol. Emphasizes "sync ran" != "sync worked" — the real test is searching for corrected text after a push. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add setup Phases H (Live Sync) and I (Verification) Phase H: MUST ADD live sync setup — pooler prerequisite check, automatic sync configuration (agent picks approach), sync+embed chaining, coverage verification. Phase I: run GBRAIN_VERIFY.md end-to-end before declaring setup complete. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add install steps 8-9 (live sync + verification) Step 8: set up automatic sync with SKILLPACK Section 18 reference. Step 9: run GBRAIN_VERIFY.md runbook. Add GBRAIN_VERIFY.md to docs section. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add API key loading instructions to CLAUDE.md Source ~/.zshrc before running Tier 2 tests so OPENAI_API_KEY and ANTHROPIC_API_KEY are available. Without this, embedding and skills tests skip silently. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version to v0.5.0 Live sync, verification runbook, API key loading instructions. Version markers updated in SKILLPACK and RECOMMENDED_SCHEMA. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add anti-hand-roll rule to skill routing in CLAUDE.md Explicitly prohibit manually running git commit + push + gh pr create when /ship is available. /ship handles VERSION, CHANGELOG, document-release, reviews, and coverage audit. Hand-rolling skips all of these. Added "commit and ship" / "push and ship" variants to the ship routing rule. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: changelog voice rule + rewrite 0.5.0 changelog to sell the upgrade CLAUDE.md: add changelog voice guidance — lead with benefits, not implementation details. Make users want to upgrade. CHANGELOG: rewrite 0.5.0 entries from dry feature descriptions to capability-focused bullets ("your brain never falls behind" not "SKILLPACK Section 18 added"). SKILLPACK Section 17: update the auto-update message template to instruct agents to sell the upgrade, not just summarize the diff. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add v0.5.0 migration directive for live sync + verification Agents upgrading from v0.4.x will automatically: check their pooler connection string, set up automatic sync, and run the verification runbook. Without this migration file, upgrading agents would learn about live sync (by re-reading Section 18) but wouldn't set it up. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: sharpen migration file guidance in CLAUDE.md Replace vague "requires agent action" with concrete trigger list: new setup steps existing users don't have, MUST ADD skillpack sections, schema changes, deprecated commands, new verification steps, new crons. Add the key test: "if an existing user upgrades and does nothing else, will their brain work worse?" Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: make Section 17 upgrade flow work for direct user requests Section 17 was structured as a cron-initiated flow only. An agent handling "upgrade gbrain" might just run the command and stop, missing the post-upgrade steps where the value is (re-read skills, run migrations, schema sync). Added explicit entry point for direct upgrade requests. Made Steps 2-4 more concrete about where to find files and why migrations can't be skipped. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add E2E sync tests — git-to-DB pipeline (11 tests) Tests the full sync lifecycle against real Postgres+pgvector: - First sync imports all pages from a git repo - Second sync with no changes returns up_to_date - Incremental sync picks up new files (add → commit → sync → verify) - Incremental sync picks up modifications — THE CRITICAL TEST: corrected text appears in DB and keyword search after sync - Incremental sync handles deletes - Non-syncable files are excluded (README, .raw/, ops/) - Sync state (last_commit, last_run) persisted to config - Sync logged to ingest_log - --full reimports everything - --dry-run shows changes without applying Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: strengthen CLAUDE.md to always run ALL test tiers Replace passive "source zshrc" suggestion with ALWAYS directive. Explicitly state that "run all tests" means ALL tiers including Tier 2 with API keys. Do not skip Tier 2 just because keys need loading. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: Tier 2 E2E tests — correct openclaw CLI invocation The tests used `openclaw -p` which doesn't exist. The correct command is `openclaw agent --local --agent <id> --message <prompt>`. Also fixed JSON output parsing (structured JSON goes to stderr, not stdout — use non-JSON mode instead). Fixed ingest test to assert on agent response text rather than test DB state (the agent writes to its own configured DB, not the ephemeral test DB). 82 tests pass, 0 fail, 0 skip across all 5 E2E files. 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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Garry TanandClaude Opus 4.6
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01a2844fef |
docs: dream cycle setup for both OpenClaw and Hermes Agent
OpenClaw ships DREAMS.md by default. Hermes users get a cron job recipe with session_search + gbrain + memory consolidation, plus Honcho for dialectic reasoning. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry TanandClaude Opus 4.6
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57d2cd384a |
docs: add Hermes Agent alongside OpenClaw
GBrain install instructions and skills work with both OpenClaw and Hermes Agent. First mention in each file says OpenClaw/Hermes, subsequent references say OpenClaw. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry TanandClaude Opus 4.6
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3ef38e8f5c |
docs: update Supabase connection string instructions
New flow: Get Connected > Direct Connection String > Session Pooler > copy Shared Pooler. The old gear icon > Project Settings path is stale. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry TanandClaude Opus 4.6
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a54dca0427 |
docs: rewrite README intro, shorten step 7
First person origin story, Postgres is optional, dream cycle mention, and condensed check-update install step. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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f541f045d2 |
feat: add gbrain check-update command and auto-update agent workflow (#15)
* feat: add `gbrain check-update` command for auto-update notifications Deterministic collector that checks GitHub Releases for new versions, compares semver (minor+ only, skips patches), and fetches changelog diffs. Exports `detectInstallMethod()` from upgrade.ts for reuse. Includes 15 unit tests covering version comparison, CLI wiring, and error handling. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add E2E upgrade tests against real GitHub API Exercises check-update CLI end-to-end: valid JSON output, human-readable mode, help text, graceful no-releases handling, and version comparison wiring. Skips gracefully when network is unavailable. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add SKILLPACK Section 17 — auto-update notifications Full agent playbook for the update lifecycle: check, notify, consent, upgrade, skills refresh, schema sync, report. Includes standalone self-update for skillpack-only users via version markers and raw GitHub URL fetching. Adds version markers to both SKILLPACK and RECOMMENDED_SCHEMA headers. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: add auto-update step 7 to install paste, setup Phase G, migrations dir Adds step 7 to the OpenClaw install paste (default-on update checks). Setup skill gets Phase G (conditional offer for manual installs) and schema state tracking via ~/.gbrain/update-state.json. Creates skills/migrations/ directory for version-specific upgrade directives. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update CLAUDE.md with E2E test DB lifecycle, migration conventions Adds E2E test DB lifecycle instructions (spin up, run, tear down). Documents version migration convention (skills/migrations/v[version].md) and schema state tracking (~/.gbrain/update-state.json). Updates test file counts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: broken semver comparison in extractChangelogBetween The version range check compared minor versions without guarding on major being equal, causing incorrect changelog entries to be captured (e.g., v0.5.0 would match when upgrading from v1.2.0). Extracted semverGt/semverLte helpers for correct comparisons. Added 5 tests for extractChangelogBetween covering cross-major, same-version, and malformed input cases. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.4.1) 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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Garry TanandClaude Opus 4.6
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2f8aa80a49 |
docs: add SKILLPACK loading to OpenClaw install step 6
OpenClaw setup now instructs agents to read the SKILLPACK and update all skills with production agent patterns. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry TanandClaude Opus 4.6
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011600ad2d |
docs: add non-OpenClaw guide, file storage docs, promote SKILLPACK
- New "GBrain without OpenClaw" section: standalone CLI, MCP server config (Claude Code + Cursor), TypeScript library with examples, and skill file loading table - New "File storage and migration" section: three-stage lifecycle (mirror/redirect/clean), all 10 file subcommands, storage backends - SKILLPACK promoted throughout: bold callout in "Production Agent" section, bold link in Docs section - Removed duplicate "Using as a library" and "MCP server" sections (now covered in the unified non-OpenClaw guide) 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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96384b712f |
docs: fix first-time experience — remove fictional kindling, add recommended schema (#3)
* docs: add recommended brain schema Full LLM-maintained knowledge base architecture: MECE directory structure, compiled truth + timeline pages, enrichment pipeline, resolver decision tree, skill architecture, and cron job recommendations. * docs: fix first-time experience — remove fictional kindling, add GitHub URL - Remove all references to data/kindling/ (never existed) - OpenClaw paste now references https://github.com/garrytan/gbrain - "Try it" section rewritten as three-act story with user's own data - Agent picks dynamic query based on imported content - Step 5 links to recommended schema doc for brain restructuring - Includes bun install fallback in paste step 1 * chore: bump version and changelog (v0.2.0.1) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <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> |