# memory-mcp

> Use this tool when you need to enable AI assistants to retain information and recall it across conversations. It solves the problem of ephemeral memory in AI interactions, allowing for more personalized and contextual experiences. The memory-mcp tool accepts input in the form of facts, preferences, and tasks, and outputs stored information via local file storage or a cloud backend with semantic search capabilities.

Canonical page: https://skillsregistry.net/skills/lakehouse-42-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lakehouse-42-memory-mcp

## Description

Provides persistent memory for AI assistants via MCP, enabling them to store and recall facts, preferences, and tasks across conversations using either local file storage or a cloud backend with semantic search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djwzq8qwid)
- **Repository:** <https://github.com/lakehouse-42/memory-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": "lakehouse-42-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lakehouse-42-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lakehouse-42-memory-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