The Karpathy LLM Wiki pattern — delivered as a managed service. I build a structured, compounding knowledge base for your team that ingests your docs, Slack threads, transcripts, code, and web content into a searchable, self-improving wiki.

Based on the same pattern behind Rebar, my open-source framework used by engineering teams to give AI agents full project context. Every piece of knowledge is tagged, cross-referenced, and queryable by both humans and AI tools like Claude Code or Cursor.

What you get😍 - Initial knowledge audit and structure design

Ingest pipelines for your key document sources (Notion, GitHub, Slack, PDFs, etc.)

Obsidian-compatible wiki with semantic search

Self-learn loop that promotes validated knowledge and discards stale content

MCP server integration so your AI editors can query the knowledge base directly

Handoff documentation and team training

Your team's collective knowledge stops living in people's heads — and starts compounding over time.