# mcp-memory-server

> mcp-memory-server — lanlibbi-mcp-memory-server. Use this tool when you need to persist and recall agent memories, solving problems of knowledge retention and recall in conversational AI systems. It takes in memory data as input and outputs recalled memories, utilizing Markdown files and SQLite FTS5 for efficient storage and retrieval. Ideal for use cases requiring long-term memory and contextual understanding, such as chatbots and virtual assistants.

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

## Description

Persistent agent memory MCP server using Markdown files and SQLite FTS5 for saving and recalling memories via tools like memory_save and memory_recall.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ruasmfnw09)
- **Repository:** <https://github.com/lanlibbi/mcp-memory-server>

## 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": "lanlibbi-mcp-memory-server"
    }
  }
}
```

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