abf174b9ecefcae4cdc8b13f5cf02550dc6ffc06
12 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Garry Tan
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abf174b9ec |
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> |
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Garry Tan
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c68a4ccbbb |
docs: add Hermes alternatives in SKILLPACK, remove duplicate Section 16
- Section 13: agent memory table shows both OpenClaw memory_search and Hermes memory()/session_search() - Section 14a: credential gateway covers both ClawVisor (OpenClaw) and Hermes built-in gateway - Removed duplicate Section 16 (Deterministic Collectors was copy-pasted twice) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry Tan
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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 Tan
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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 Tan
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31c6084ea2 |
docs: add dream cycle to GBRAIN_SKILLPACK
Documents DREAMS.md, the nightly cron that scans conversations, enriches thin entities, fixes broken citations, and consolidates memory. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry Tan
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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 Tan
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00217feda3 |
Add Section 16: Deterministic Collectors — Code for Data, LLMs for Judgment (#13)
Pattern for when LLMs keep failing at mechanical formatting tasks despite prompt fixes. Move mechanical work to deterministic code, feed LLM pre-formatted data. Real example: email URL generation. Co-authored-by: Wintermute <wintermute@openclaw.ai> |
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Garry Tan
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95353f8790 |
Add Section 16: Deterministic Collectors — Code for Data, LLMs for Judgment (#12)
Pattern for when LLMs keep failing at mechanical tasks despite prompt fixes. Real example: email Gmail links dropped 5x, fixed by moving URL generation to a deterministic Node.js collector script that feeds pre-formatted data to the LLM. Architecture: deterministic pipeline → structured data → LLM analysis layer. Same pattern as x-collector (Twitter data) — generalized to email, calendar, Slack, GitHub, and any recurring data pull. Co-authored-by: root <root@localhost> |
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Garry Tan
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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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Garry Tan
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ee9e6689ad |
docs: expand brain schema with database architecture and OSS smoothing (#4)
* docs: expand brain schema — database architecture, dedup, enrichment sources, worked examples Rewrite the recommended schema doc: present the database layer (entity registry, event ledger, fact store, relationship graph) as the core architecture rather than a future upgrade. Add entity identity/deduplication, enrichment source ordering, epistemic discipline, three worked examples, concurrency guidance, and browser budget. Smooth language for open-source readability. * chore: bump version and changelog (v0.2.0.2) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Garry Tan
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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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Garry Tan
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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> |