Building a Private Karpathy-Style LLM Wiki With gbrain and gstack

A developer describes building a private AI assistant memory system using three components: a Karpathy-style LLM Wiki for durable structured knowledge, gbrain for distilling personal work signals from GitHub PRs, emails, Slack, and other sources, and gstack for applying that memory in daily Rails coding workflows. The architecture keeps raw private data local-only, uses redaction before any public export, and enforces mandatory human review gates before merging. The result is an AI coding assistant that starts from the developer's own review preferences, Rails patterns, and shipping standards rather than generic defaults. The post also serves as a services pitch for CTO AI transformation work.