# Knowledge Graph Memory Server

> Use this tool when you need to retain user information across conversations, enabling personalized and contextual interactions. The Knowledge Graph Memory Server solves problems of information loss and repetition, allowing for more cohesive and engaging user experiences. It takes in user data as input and outputs relevant information to inform future conversations, ideal for use cases requiring persistent memory and user insight.

Canonical page: https://skillsregistry.net/skills/agentwong-optimized-memory-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/agentwong-optimized-memory-mcp-server

## Description

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ipt2sa08m8)
- **Repository:** <https://github.com/AgentWong/optimized-memory-mcp-server>

## 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": "agentwong-optimized-memory-mcp-server"
    }
  }
}
```

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