* 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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GBrain Installation Guide for AI Agents
Read this entire file, then follow the steps. Ask the user for API keys when needed. Target: ~30 minutes to a fully working brain.
Step 0: If you are not Claude Code
Read AGENTS.md at the repo root first. It's the non-Claude-agent operating
protocol (install, read order, trust boundary, common tasks). Claude Code reads
CLAUDE.md automatically and can skip ahead.
If you fetched this file by URL without cloning yet, the companion files live at:
https://raw.githubusercontent.com/garrytan/gbrain/master/AGENTS.md— start herehttps://raw.githubusercontent.com/garrytan/gbrain/master/llms.txt— full doc maphttps://raw.githubusercontent.com/garrytan/gbrain/master/llms-full.txt— same map, inlined
Step 1: Install GBrain
git clone https://github.com/garrytan/gbrain.git ~/gbrain && cd ~/gbrain
curl -fsSL https://bun.sh/install | bash
export PATH="$HOME/.bun/bin:$PATH"
bun install && bun link
Verify: gbrain --version should print a version number. If gbrain is not found,
restart the shell or add the PATH export to the shell profile.
Step 2: API Keys
Ask the user for these:
export OPENAI_API_KEY=sk-... # required for vector search
export ANTHROPIC_API_KEY=sk-ant-... # optional, improves search quality
Save to shell profile or .env. Without OpenAI, keyword search still works.
Without Anthropic, search works but skips query expansion.
Step 3: Create the Brain
gbrain init # PGLite, no server needed
gbrain doctor --json # verify all checks pass
The user's markdown files (notes, docs, brain repo) are SEPARATE from this tool repo. Ask the user where their files are, or create a new brain repo:
mkdir -p ~/brain && cd ~/brain && git init
Read ~/gbrain/docs/GBRAIN_RECOMMENDED_SCHEMA.md and set up the MECE directory
structure (people/, companies/, concepts/, etc.) inside the user's brain repo,
NOT inside ~/gbrain.
Step 4: Import and Index
gbrain import ~/brain/ --no-embed # import markdown files
gbrain embed --stale # generate vector embeddings
gbrain query "key themes across these documents?"
Step 4.5: Wire the Knowledge Graph
If the user already had a brain repo (Step 3 imported existing markdown), backfill
the typed-link graph and structured timeline. This populates the links and
timeline_entries tables that future writes will maintain automatically.
gbrain extract links --source db --dry-run | head -20 # preview
gbrain extract links --source db # commit
gbrain extract timeline --source db # dated events
gbrain stats # verify links > 0
For brand-new empty brains, skip this step — auto-link populates the graph as the agent writes pages going forward. There is nothing to backfill yet.
After this step:
gbrain graph-query <slug> --depth 2works (relationship traversal)- Search ranks well-connected entities higher (backlink boost)
- Every future
put_pageauto-creates typed links and reconciles stale ones
If a user has a very large brain (>10K pages), extract --source db is idempotent
and supports --since YYYY-MM-DD for incremental runs.
Step 5: Load Skills
Read ~/gbrain/skills/RESOLVER.md. This is the skill dispatcher. It tells you which
skill to read for any task. Save this to your memory permanently.
The three most important skills to adopt immediately:
-
Signal detector (
skills/signal-detector/SKILL.md) — fire this on EVERY inbound message. It captures ideas and entities in parallel. The brain compounds. -
Brain-ops (
skills/brain-ops/SKILL.md) — brain-first lookup on every response. Check the brain before any external API call. -
Conventions (
skills/conventions/quality.md) — citation format, back-linking iron law, source attribution. These are non-negotiable quality rules.
Step 6: Identity (optional)
Run the soul-audit skill to customize the agent's identity:
Read skills/soul-audit/SKILL.md and follow it.
This generates SOUL.md (agent identity), USER.md (user profile), ACCESS_POLICY.md (who sees what), and HEARTBEAT.md (operational cadence) from the user's answers.
If skipped, minimal defaults are installed automatically.
Step 7: Recurring Jobs
Set up using your platform's scheduler (OpenClaw cron, Railway cron, crontab):
- Live sync (every 15 min):
gbrain sync --repo ~/brain && gbrain embed --stale - Auto-update (daily):
gbrain check-update --json(tell user, never auto-install) - Dream cycle (nightly): read
docs/guides/cron-schedule.mdfor the full protocol. Entity sweep, citation fixes, memory consolidation. This is what makes the brain compound. Do not skip it. - Weekly:
gbrain doctor --json && gbrain embed --stale
Step 8: Integrations
Run gbrain integrations list. Each recipe in ~/gbrain/recipes/ is a self-contained
installer. It tells you what credentials to ask for, how to validate, and what cron
to register. Ask the user which integrations they want (email, calendar, voice, Twitter).
Verify: gbrain integrations doctor (after at least one is configured)
Step 9: Verify
Read docs/GBRAIN_VERIFY.md and run all 7 verification checks. Check #4 (live sync
actually works) is the most important.
Upgrade
cd ~/gbrain && git pull origin master && bun install
gbrain init # apply schema migrations (idempotent)
gbrain post-upgrade # show migration notes for the version range
Then read ~/gbrain/skills/migrations/v<NEW_VERSION>.md (and any intermediate
versions you skipped) and run any backfill or verification steps it lists. Skipping
this is how features ship in the binary but stay dormant in the user's brain.
For v0.12.0+ specifically: if your brain was created before v0.12.0, run
gbrain extract links --source db && gbrain extract timeline --source db to
backfill the new graph layer (see Step 4.5 above).
For v0.12.2+ specifically: if your brain is Postgres- or Supabase-backed and
predates v0.12.2, the v0_12_2 migration runs gbrain repair-jsonb
automatically during gbrain post-upgrade to fix the double-encoded JSONB
columns. PGLite brains no-op. If wiki-style imports were truncated by the old
splitBody bug, run gbrain sync --full after upgrading to rebuild
compiled_truth from source markdown.