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    Marm Init

    by Ryan lyell

    The intelligent installer for MARM, providing cross-agent persistent memory and shared context via MCP.

    Updated Jun 2026
    Security scanned
    Claude Code

    $5

    · or 25 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Link multiple AI agents (Claude, Cursor, Gemini) to one shared memory pool
    • Configure a local-first, privacy-centric SQLite memory backend via MCP
    • Ready for Claude Code
    • Instant install

    Sample input

    I want to set up persistent memory for Claude and Cursor on my local machine using Docker.

    Sample output

    Setting up MARM via Docker...

    • Core engine pulled.
    • API Key generated: marm_live_...
    • Transport: HTTP (Port 8001).
    • Configs written: ~/.claude/config.json and .cursor/mcp.json.
    • Dashboard: http://localhost:8002

    Setup complete! Your agents now share a persistent memory substrate.

    Screenshots

    About This Skill

    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-Augmented Retrieval Module) provides a persistent, local-first SQLite backend that stores project history, sessions, and notebooks across your entire development lifecycle.

    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.

    Use Cases

    • Link multiple AI agents (Claude, Cursor, Gemini) to one shared memory pool
    • Configure a local-first, privacy-centric SQLite memory backend via MCP
    • Automatically generate and install MCP config files across different IDEs
    • Deploy a live dashboard to browse and manage LLM session history and logs

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    Security Scanned

    Passed automated security review

    Permissions

    Allowed Hosts

    raw.githubusercontent.com

    File Scopes

    marm-init/**

    Tags

    mcp-server
    persistent-memory
    devops-automation
    claude-code
    docker
    productivity

    Claude Code, Cursor, Codex, Gemini, VS Code, and MCP-capable agents.

    Creator

    Ryan lyell

    Frequently Asked Questions

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