setup-gbrain

Name: setup-gbrain
Availability: InStock
Author: KrismithReddy12

Configure persistent memory storage and MCP servers for AI coding agents.

Updated Jul 29, 2026

Search Tags:#automation #context #configuration #mcp #memory #gbrain

Ready to run

npx skills add https://github.com/KrismithReddy12/gstack --skill setup-gbrain-krismithreddy12

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: setup-gbrain
Source: https://github.com/KrismithReddy12/gstack/tree/main/setup-gbrain
Command: npx skills add https://github.com/KrismithReddy12/gstack --skill setup-gbrain-krismithreddy12

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, git, jq, and includes scripts (resource) components.

What problem does it solve?

This skill automates the complex configuration required to connect your local coding agent to a persistent memory engine, ensuring your AI has context across sessions and machines.

Core Features & Use Cases

Brain Initialization: Sets up local PGLite or Supabase storage for long-term memory.
Context Synchronization: Configures MCP and per-remote trust policies to keep your engineering context secure and accessible.
Use Case: When starting a new project or switching machines, use this to instantly sync your previous learnings, design docs, and session transcripts so the AI knows exactly where you left off.

Quick Start

Run the setup gbrain command to configure your local brain and connect it to your current workspace.

Frequently Asked Questions about setup-gbrain

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

FAQPage Schema

How do I set up persistent memory for AI coding agents across multiple machines?▼

To set up persistent memory for AI coding agents, you initialize local storage and register MCP servers to enable cross-session context and project-specific knowledge retrieval across machines.

How does an MCP server configuration keep engineering context secure?▼

MCP server configuration secures engineering context by applying per-remote trust policies and automating trust policy enforcement during artifact synchronization and telemetry management.

Do I need bash and git to configure a persistent AI memory engine?▼

Yes, you need bash, git, and jq installed as dependencies to execute the scripts that initialize local storage and register the MCP servers for your memory engine.

Can I use PGLite or Supabase for long-term AI agent memory storage?▼

Yes, you can use either PGLite or Supabase for long-term AI agent memory storage to locally save design docs, session transcripts, and previous learnings for retrieval.

What's the best way to sync previous learnings when switching development machines?▼

The best way to sync previous learnings when switching machines is running a setup command that configures local storage and connects your persistent memory engine to the current workspace.

Why does my AI coding agent lose project context between sessions?▼

AI coding agents lose project context between sessions without a persistent memory engine, which is why initializing local storage and registering MCP servers is required for cross-session synchronization.