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setup-gbrain

Configure gbrain semantic memory with CLI tools and storage backends.

Updated Jul 26, 2026
Search Tags:#automation#context#configuration#mcp#memory#gbrain
One-click install
npx skills add https://github.com/yocxy2/gstack3 --skill setup-gbrain-yocxy2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: setup-gbrain
Source: https://github.com/yocxy2/gstack3/tree/main/setup-gbrain
Command: npx skills add https://github.com/yocxy2/gstack3 --skill setup-gbrain-yocxy2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bun, git, jq, gitleaks, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex configuration required to link your local coding environment with a persistent, semantic memory store (gbrain), ensuring your AI agent has full context of your project history and documentation.

Core Features & Use Cases

  • Unified Brain Setup: Installs the necessary CLI tools and initializes local PGLite or Supabase storage for your project's memory.
  • Contextual Awareness: Automatically registers MCP servers and captures trust policies to ensure your agent can query past sessions, design docs, and project learnings.
  • Use Case: When starting work on a new machine or a new project, use this to instantly sync your cross-machine artifacts and enable semantic search across all your previous transcripts and code decisions.

Quick Start

Run the setup gbrain command to initialize the brain and connect your local environment to your project memory.

Frequently Asked Questions about setup-gbrain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure a semantic memory store for AI-assisted engineering?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

What's the best way to sync project transcripts and design docs across machines?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

Do I need git and bun to set up an MCP server for my coding environment?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

How does gbrain semantic memory integration work for code decisions?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

Can I use local PGLite instead of Supabase for persistent AI agent memory?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

Why does context synchronization fail when switching to a new machine?▼

Initializing local PGLite or remote Supabase storage provides a persistent backend for your project's semantic memory, ensuring your AI agent maintains full context of your project history and historical code decisions across sessions.

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