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* v0.42.60.0 chore(release): eleven verified community fixes — changelog + version bump Windows full-sync mass-delete fix, gateway tool-loop resume consolidation (fix-wave A), two source-isolation closes, search-cache exclude-policy keying, and six more verified community fixes. Files the take-writes fail-open source fallback and the #2112 doctor hunk as follow-up TODOs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs: update reference docs for v0.42.60.0 - KEY_FILES.md: unpin stale KNOBS_HASH_VERSION number in the autocut entry (mode.ts is the single source of truth); document the full-sync reconcile path-separator normalization + mass-delete safety valve (planReconcileDeletes, GBRAIN_ALLOW_MASS_RECONCILE); describe the TTY-gated admin bootstrap token banner (--print-admin-token, env-sourced always hidden) - docs/mcp/DEPLOY.md + docs/tutorials/company-brain.md: bootstrap token is now hidden on non-TTY starts; document GBRAIN_ADMIN_BOOTSTRAP_TOKEN and --print-admin-token for headless deploys Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * chore(docs): regenerate llms bundle after KEY_FILES/deploy-doc sync Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Sinabina <sinabina@Sinabinas-MacBook-Pro-4.local> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Tutorials
Step-by-step walkthroughs that take you from zero to a working outcome. Concrete commands, real numbers, no abstraction-first jargon. Each tutorial assumes no prior GBrain knowledge.
Shipped
- Set up your personal AI agent + brain from zero — the canonical solo install. Two GitHub repos, a Telegram bot, AlphaClaw on Render, OpenClaw + GBrain + Supabase. End-to-end in about 2 hours; about $100 to $150 a month sustained. The full-stack install I'd run today.
- Set up GBrain as your company brain — federated, multi-user, OAuth-scoped institutional memory for a 10-50 person team. Three sources (shared / customers / internal-only), per-user scope, first synthesized query as a teammate. About 90 minutes end-to-end, about $5 in API calls for the demo, under $100 a month sustained for a 25-person company.
- Auto-improve a skill with
gbrain skillopt— treat aSKILL.mdas the trainable parameter of a frozen agent. Write your first benchmark from scratch (the part everyone gets stuck on), preview the cost, run the optimizer, read accepted vs no_improvement vs aborted, and accept a measurably better skill. About 20 minutes, about $1 in API calls. Reference:../guides/skillopt.md. - Give your coding agent a memory: GBrain + Claude Code / Codex — the two-funnel walkthrough for coding-agent users. Path A: connect Claude Code / Codex to a brain you already run (OpenClaw, Hermes, any
gbrain serve --http). Path B: start from nothing with a 2-second local PGLite brain. Both end with the brain-first protocol you paste intoCLAUDE.md/AGENTS.mdand the four habits (brain-first lookup, ambient capture, briefing-from-your-brain, whoknows) that make it worth it. About 10 minutes.
In progress
These are the next tutorials on the roadmap. Open an issue if one of them is the one you need most; that's how we'll prioritize.
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Set up GBrain for VC dealflow — the operator's recipe. People pages for founders, companies with typed Facts fence carrying ARR / team-size / runway across dates, meetings auto-ingested, deal pages linking everything. Shows
gbrain whoknows,gbrain find_trajectory, andgbrain founder scorecardon real workflows. -
Migrate your existing vault into GBrain — for Notion / Obsidian / Roam users with a vault that doesn't match GBrain's default layout. Walks through
gbrain schema detect→suggest→review-candidatesso the brain learns your shape instead of forcing you to learn its. -
Index your codebase as a code brain — for developers. Initialize a brain in a code repo, swap to
voyage-code-3for embeddings, usegbrain code-def/gbrain code-refs/gbrain code-callersto navigate the codebase semantically from any MCP-aware editor. -
Run GBrain fully local with Ollama or llama.cpp — for privacy-first deployments. No cloud calls, no API keys, no telemetry. Trades some retrieval quality for full local control. Useful for regulated industries, air-gapped environments, or just paranoia.
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Set up the dream cycle — the overnight enrichment daemon that makes the brain self-maintaining. Fixes citations, dedupes people pages, surfaces contradictions, generates founder scorecards on the schedule you configure. The piece that turns a static knowledge base into a brain that gets smarter while you sleep.
Want to write one?
Tutorials follow the Diataxis tutorial pattern: learning-oriented, walks a learner from zero to a working result in one session, every step produces a visible change. If you've used GBrain for something interesting and want to write the walkthrough, the existing company-brain.md is the model. Open a PR.
Related documentation
- Reference:
docs/architecture/— system design, topologies, retrieval theory - How-to:
docs/guides/— task-oriented runbooks (sub-agent routing, minion deployment, skill development, brain-first lookup, idea capture, diligence ingestion). Highlight: scaling skills past 300 — the three-tier architecture for agents that have outgrown the always-loaded skill manifest. - Integrations:
docs/integrations/— connecting external data sources (voice, email, calendar, embedding providers) - MCP setup:
docs/mcp/— per-client setup (Claude Desktop, Code, Cursor, ChatGPT, Perplexity, Cowork) - Install paths:
docs/INSTALL.md— every install path, end to end