# RMS Memory MCP

> RMS Memory MCP — max-ramas-rms-memory-mcp. Use this tool when you need to access and manage persistent, local memory for AI agents across different integrated development environments (IDEs). It solves problems of data fragmentation and cloud dependency by providing a markdown-based source of truth and semantic search capabilities powered by LanceDB. Ideal for use cases requiring secure, decentralized, and cross-IDE knowledge management.

Canonical page: https://skillsregistry.net/skills/max-ramas-rms-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/max-ramas-rms-memory-mcp

## Description

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w9qsk5ibc7)
- **Repository:** <https://github.com/max-ramas/rms-memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "max-ramas-rms-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/max-ramas-rms-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/max-ramas-rms-memory-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt