# universal-memory-service

> Use this tool when you need to unify and manage disparate memory sources, providing a single interface for search and write operations across various data formats. It solves problems of data fragmentation and complexity, enabling efficient access and manipulation of information stored in files, vector embeddings, and knowledge graphs. The universal-memory-service accepts HTTP API or MCP stdio transport inputs and outputs unified memory results, ideal for use cases requiring integrated data management and retrieval.

Canonical page: https://skillsregistry.net/skills/clawdbrunner-universal-memory-service  
JSON: https://api.skillsregistry.net/v1/skills/clawdbrunner-universal-memory-service

## Description

Self-hosted service providing unified memory search and write operations across file-based memory, vector embeddings, and the Graphiti temporal knowledge graph, accessible via HTTP API or MCP stdio transport.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iuehh0zw9y)
- **Repository:** <https://github.com/clawdbrunner/universal-memory-service>

## 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": "clawdbrunner-universal-memory-service"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clawdbrunner-universal-memory-service` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clawdbrunner-universal-memory-service/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