# Knowledge Graph Memory Server

> Knowledge Graph Memory Server — rmranjit-mcp-memory. Use this tool when you need to retain information across multiple conversations and provide personalized experiences. It solves the problem of knowledge loss between chat sessions by storing entities, relations, and observations in a local knowledge graph. The tool accepts input data to store and retrieve information, and outputs relevant information to inform and personalize interactions.

Canonical page: https://skillsregistry.net/skills/rmranjit-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/rmranjit-mcp-memory

## Description

Provides persistent memory for Claude by implementing a local knowledge graph to store and retrieve entities, relations, and observations. This enables long-term information retention and personalization across different chat sessions.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jhfb40uhmf)
- **Repository:** <https://github.com/RMRanjit/MCP-Memory>

## 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": "rmranjit-mcp-memory"
    }
  }
}
```

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