# memem

> memem — tt-wang-memem. Use this tool when you need to retain information and decisions across sessions, enabling persistent memory and automatic recall of past interactions. It solves the problem of knowledge loss between conversations by storing lessons and decisions in a searchable markdown format. This plugin is ideal for use cases where continuity and recall of previous conversations are crucial, with inputs including user transcripts and outputs being stored markdown files in an Obsidian vault.

Canonical page: https://skillsregistry.net/skills/tt-wang-memem  
JSON: https://api.skillsregistry.net/v1/skills/tt-wang-memem

## Description

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts automatically.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/TT-Wang/memem)

## 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": "tt-wang-memem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tt-wang-memem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tt-wang-memem/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