A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents
Quick Take
GBrain is an open-source memory layer for AI agents, enabling self-wiring through regex inference.
Key Points
- Step-by-step tutorial for GBrain v0.38.2.0 installation.
- Build a brain repository and run hybrid search.
- Connect GBrain to Claude Code via MCP.
Article Excerpt
From source RSS / original summaryAI agents start every session from zero — no memory of meetings, notes, or decisions. GBrain, the open-source memory layer Y Combinator's Garry Tan built to power his own OpenClaw and Hermes deployments, fixes that with a markdown-first knowledge graph that wires itself through regex inference, not LLM calls. This step-by-step coding tutorial walks through installing GBrain v0. 38. 2.
0, building a brain repo, running hybrid search, and connecting it to Claude Code via MCP — about 20 minutes, all terminal output captured live. The post A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents appeared first on MarkTechPost.
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