Marm Init

Persistent AI Memory Made Easy

MARM-Init is a specialized setup engine designed to solve the "goldfish memory" problem in AI agents. While most LLMs lose context between sessions, MARM (Memory Accurate Response Mode) provides a persistent, local-first SQLite backend that stores project history, sessions, and notebooks across your entire development lifecycle. Also includes a local management app, knowledge graph, and project indexing. You can visit GitHub for more info https://github.com/Lyellr88/marm-memory

What it does

This skill acts as an intelligent installer and architect. Instead of manually editing JSON configs or managing Docker containers, you invoke this skill to guide you through a pre-flight hardware check, runtime selection, and multi-agent configuration. It handles the "wiring," so your agent can immediately begin saving and retrieving long-term memories.

Why use this skill?

• Cross-Agent Synchronization: Automatically link Claude, Cursor, VS Code, and Gemini to the same shared memory pool.
• Optimized Context Management: Implements automated re-ranking and pruning to ensure your agent stays within token budgets without losing important project details.
• Privacy First: Everything stays on your hardware. It uses a SQLite WAL backend for fast, deterministic local storage.
• One-Command Infrastructure: Generates API keys, configures transport protocols (HTTP/STDIO), and launches a live management dashboard for you.

The Output

The skill produces a fully configured MCP environment. This includes updated configuration files for your specific IDE or CLI agent, a running MARM server instance (Docker or Python), and a live URL for your memory dashboard.