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meridian-guide

Guide MERIDIAN Brain Enhanced setup, configuration, and troubleshooting for persistent RLM memory.

Updated Feb 10, 2026
Search Tags:#troubleshooting#configuration#agent memory#auto-linking#chunking#llm repl#personality modes
One-click install
npx skills add https://github.com/jordanhindo/meridian --skill meridian-guide-jordanhindo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meridian-guide
Source: https://github.com/jordanhindo/meridian/tree/main/skills/meridian-guide
Command: npx skills add https://github.com/jordanhindo/meridian --skill meridian-guide-jordanhindo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps you install, configure, and operate MERIDIAN Brain Enhanced so an AI agent can use persistent RLM-based memory alongside the original MERIDIAN personality/slider framework.

Core Features & Use Cases

  • Step-by-step setup: Installation verification and a minimal working memory test so you can confirm the system is functioning.
  • Architecture and mental model: Explains how the enhanced JSON memory system (chunking, chunk storage, auto-linking, REPL sandbox) integrates with Markdown-based personalities, sliders, gauges, and memory protocol.
  • Operational workflows: Covers common workflows for fresh installation, configuration setup, and integrating memory into an agent loop, plus advanced sandbox usage and troubleshooting.
  • Usage for agent teams: Supports projects that need repeatable configuration management, personality switching, confidence scoring, and reliable debugging.

Quick Start

Ask the agent: "Create a MERIDIAN Brain Enhanced memory store and run a single RememberOperation call to store my preference with confidence 0.95, then confirm the returned chunk_ids."

Frequently Asked Questions about meridian-guide

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

FAQPage Schema
How do I configure persistent memory for an AI agent using RLM?▼

To configure persistent memory for an AI agent, use a setup guide covering memory chunking, auto-linking, and ChunkStore operations. This provides queryable memory storage alongside agent workflows and personality frameworks.

What is auto-linking in agent memory systems and how does it work?▼

Auto-linking in agent memory systems connects stored memory chunks automatically during a RememberOperation. It integrates with chunk storage to create a queryable, persistent memory network for agent workflows.

How do I set up MERIDIAN Brain Enhanced memory step by step?▼

Setting up MERIDIAN Brain Enhanced involves repository installation verification, running a minimal working memory test, and executing a RememberOperation call to store preferences. This confirms the memory system is functioning correctly.

Can I manage personality modes and sliders when integrating memory into an agent loop?▼

Yes, you can manage personality modes and sliders when integrating memory into an agent loop. The system supports Markdown-based personalities, confidence scoring, and personality switching alongside memory protocol configuration.

Why is my agent memory configuration not working during integration?▼

Agent memory configuration fails during integration when the repository setup is incorrect or ChunkStore and RememberOperation concepts are applied inconsistently. Troubleshooting requires verifying the installation and checking memory protocol adherence.

Do I need a specific repository setup to use chunk storage and REPL sandbox?▼

Yes, a correct repository setup is required to use chunk storage and the REPL sandbox. These components rely on proper installation verification to function within the enhanced JSON memory system architecture.

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