# Graph Memory

> Use this tool when you need to efficiently search and navigate large amounts of markdown documentation and source code, or when you want to integrate knowledge management, tasks, and skills into a unified semantic search system. It indexes data into graph structures, enabling hybrid search across 58 tools using local embedding models. Ideal for use cases where complex information retrieval and knowledge discovery are required, with a simple Streamable HTTP endpoint for integration.

Canonical page: https://skillsregistry.net/skills/prih-graph-memory  
JSON: https://api.skillsregistry.net/v1/skills/prih-graph-memory

## Description

Indexes markdown documentation and TypeScript/JavaScript source code into graph structures for semantic navigation and search. Uses local embedding models for hybrid search across 58 tools covering knowledge management, tasks, and skills. Available as a Docker image with Streamable HTTP endpoint.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/prih-graph-memory)
- **Repository:** <https://github.com/graph-memory/graphmemory>

## 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": "prih-graph-memory"
    }
  }
}
```

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