# surrealdb-knowledge-graph-memory

> surrealdb-knowledge-graph-memory — maverick-software-surrealdb-knowledge-graph-memory. Use this tool when you need to create a comprehensive knowledge graph memory system that enables semantic search, episodic memory, and working memory capabilities. It solves problems related to information retrieval, data integration, and memory management, providing a robust interface for inputs such as data entities and relationships, and outputs such as search results and memory recalls. Ideal for use cases requiring advanced knowledge graph management and semantic querying, such as AI, machine learning, and data science applications.

Canonical page: https://skillsregistry.net/skills/maverick-software-surrealdb-knowledge-graph-memory  
JSON: https://api.skillsregistry.net/v1/skills/maverick-software-surrealdb-knowledge-graph-memory

## Description

A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/maverick-software-surrealdb-knowledge-graph-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": "maverick-software-surrealdb-knowledge-graph-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maverick-software-surrealdb-knowledge-graph-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maverick-software-surrealdb-knowledge-graph-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