# Loc Knowledge Graph Memory Server

> Use this tool when you need to retain user information across conversations, enabling personalized and contextual interactions. It solves problems of information loss and repetition by storing entities, relationships, and observations in a persistent local knowledge graph. This server accepts user data as input and outputs relevant information to inform Claude's responses.

Canonical page: https://skillsregistry.net/skills/bughide010-smtest  
JSON: https://api.skillsregistry.net/v1/skills/bughide010-smtest

## Description

Enables Claude to remember information about users across chats using a persistent local knowledge graph that stores entities, relationships, and observations.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fv1622wtw3)
- **Repository:** <https://github.com/bughide010/smtest>

## 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": "bughide010-smtest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bughide010-smtest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bughide010-smtest/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