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Author SHA1 Message Date
Garry Tan
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>
 2026-04-14 19:41:34 -10:00
Garry Tan
baf3517868 feat: v0.9.0 -- smart file storage, publish, production-grade skills (#62) 
* feat: battle-tested skill patterns from production deployment

Backport production-learned brain-operations patterns:
- Iron Law of Back-Linking (mandatory bidirectional linking)
- Brain filing rules (file by primary subject, not format)
- Enrichment protocol (7-step pipeline, 3-tier system, person/company templates)
- Media ingest workflows (articles, videos, podcasts, PDFs, screenshots)
- Citation requirements (mandatory [Source: ...] on every fact)
- Test Before Bulk operating principle
- Voice recipe: unicode crash fix, PII scrub, identity-first prompt, DIY STT+LLM+TTS
- X-to-Brain recipe: image OCR, Filtered Stream, tweet rating rubric, cron stagger

* chore: bump version and changelog (v0.8.1)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* docs: add _brain-filing-rules.md to CLAUDE.md key files

* feat: smart file upload with TUS resumable and .redirect.yaml pointers

- Supabase Storage auto-selects upload method by file size:
  < 100 MB standard POST, >= 100 MB TUS resumable (6 MB chunks + retry)
- Signed URL generation for private bucket access (1-hour expiry)
- New `upload-raw` command with size routing: small text stays in git,
  large/media files go to cloud with .redirect.yaml pointer
- New `signed-url` command for generating access links
- File resolver supports both .redirect.yaml (v0.9+) and .redirect (legacy)
- Redirect format upgraded: 10 fields with full metadata
- All migration commands (mirror, redirect, restore, clean) handle both formats

* feat: skills reference actual gbrain file commands

- Filing rules document upload-raw, signed-url, and .redirect.yaml format
- Ingest skill uses gbrain files upload-raw for raw source preservation
- Maintain skill adds file storage health checks
- Setup skill adds storage configuration phase with migration guidance
- Voice recipe uses upload-raw for call audio storage
- Migration v0.9.0 with complete storage setup instructions

* chore: bump version and changelog (v0.9.0)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: gbrain publish -- shareable HTML with password protection

First code+skill pair: deterministic code does the work (strip private data,
encrypt with AES-256-GCM, generate self-contained HTML), the skill tells the
agent when and how to use it. 34 new tests.

See: https://x.com/garrytan/status/2042925773300908103

* feat: backlinks check/fix, page lint, and report commands

Three new deterministic tools (zero LLM calls):

- gbrain backlinks check/fix -- scans brain for entity mentions without
  back-links, creates them. Enforces the Iron Law from the skills.
- gbrain lint [--fix] -- catches LLM preambles, code fence wrapping,
  placeholder dates, missing frontmatter, broken citations, empty sections.
  --fix auto-strips fixable artifacts.
- gbrain report --type <name> -- saves timestamped reports to
  brain/reports/{type}/YYYY-MM-DD-HHMM.md for audit trails.

33 new tests (409 total, 0 fail).

* feat: v0.9.0 migration tells agents to swap scripts for built-in commands

Migration file now:
- Lists all 5 new deterministic commands with usage examples
- Includes a script-to-command replacement table (old -> new)
- Tells the agent to find custom script references in AGENTS.md,
  skills, and cron jobs and replace with gbrain commands
- Adds recommended cron jobs for daily backlink fix + weekly lint
- References the Thin Harness, Fat Skills thread

* fix: CLI routing bugs found during DX review

- Fixed subArgs reference error in handleCliOnly (used wrong variable name)
- Renamed gbrain backlinks check/fix to gbrain check-backlinks to avoid
  conflict with existing backlinks operation (per-page incoming links)
- Added TOOLS section to --help output showing publish, check-backlinks,
  lint, report
- Added upload-raw and signed-url to FILES section in --help
- Updated all docs/migration references to use check-backlinks

* fix: security hardening from adversarial review

- XSS: sanitize marked.parse() output (strip script/iframe/on* attrs)
- Path traversal: validate report --type against [a-z0-9-] pattern
- TUS: HEAD request before retry to get server's actual offset (TUS spec)
- Pointer: upload-raw now includes pointer content in JSON output
- Symlinks: use lstatSync in all walkers to prevent directory escape

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-11 21:46:07 -10:00
Garry Tan
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>
 2026-04-09 10:17:13 -07:00
Garry Tan
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>
 2026-04-08 23:26:11 -10:00
Garry Tan
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>
 2026-04-05 12:48:10 -07:00