# MCP AutoMem

> Use this tool when you need to efficiently manage and retrieve large amounts of graph-structured data for AI assistants, solving problems related to knowledge graph embedding and similarity search. It takes in graph data as input and outputs vector representations, enabling fast and accurate querying and retrieval. Ideal for use cases requiring scalable and performant graph-vector memory, such as question answering and recommendation systems.

Canonical page: https://skillsregistry.net/skills/io-github-verygoodplugins-mcp-automem  
JSON: https://api.skillsregistry.net/v1/skills/io-github-verygoodplugins-mcp-automem

## Description

Graph-vector memory for AI assistants using FalkorDB and Qdrant

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.10.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.verygoodplugins%2Fmcp-automem)
- **Repository:** <https://github.com/verygoodplugins/mcp-automem>

## Use it

MCP endpoint published by the skill: `https://{endpoint}/mcp`

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": "io-github-verygoodplugins-mcp-automem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-verygoodplugins-mcp-automem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-verygoodplugins-mcp-automem/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