# Mnemosyne MCP

> Mnemosyne MCP — zhadyz-mnemosyne-mcp. Use this tool when you need to enable AI agents to store and retrieve knowledge offline, reducing API costs and improving performance. The Mnemosyne MCP provides a persistent knowledge graph memory with local semantic search capabilities, utilizing Neo4j and ONNX embeddings to facilitate efficient information retrieval. Ideal for applications requiring autonomous operation and zero API costs, this tool solves knowledge management and offline operation problems for AI agents.

Canonical page: https://skillsregistry.net/skills/zhadyz-mnemosyne-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-mcp

## Description

Provides persistent knowledge graph memory for AI agents with local semantic search using Neo4j and ONNX embeddings, enabling offline operation with zero API costs.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dcglt3hpli)
- **Repository:** <https://github.com/zhadyz/mnemosyne-mcp>

## 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": "zhadyz-mnemosyne-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhadyz-mnemosyne-mcp/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