# mcp-memory

> mcp-memory — germaniu-mcp-memory. Use this tool when you need to implement a local memory solution for AI agents via MCP, enabling seamless integration with platforms like Claude Code, OpenCode, Cursor, and Continue. It solves the problem of storing and retrieving agent knowledge, providing a self-hosted and customizable memory system. With Python, FastMCP, Qdrant, and Ollama, it offers a flexible interface for inputting and outputting agent data.

Canonical page: https://skillsregistry.net/skills/germaniu-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/germaniu-mcp-memory

## Description

🧠 Memoria local para agentes IA vía MCP. Drop-in para Claude Code, OpenCode, Cursor, Continue. Python + FastMCP + SQLite/FTS5 (BM25). Self-hosted, MIT.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/GermaniU/mcp-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": "germaniu-mcp-memory"
    }
  }
}
```

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