A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents

A tutorial shows how to run GBrain locally, import markdown notes, and build a typed knowledge graph without LLM extraction calls.

GBrain adds hybrid search, combining embeddings and BM25/RRF, so AI agents can retrieve persistent memory more reliably.

The system exposes memory through MCP tools, making it usable from agents and coding assistants like Claude Code.

The piece says GBrain is open source and Postgres-backed, with support for PGLite and Postgres 17.

It also highlights benchmark gains and mentions Garry Tan’s production deployments at scale.