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Amem MCP Server

@amanasmuei

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

amanasmuei

投稿者

Abdul Rahman

Amem MCP Server について

The memory layer for AI coding tools. Local-first, semantic, 9 MCP tools with consolidation and project scoping. Works with Claude Code, Cursor, Windsurf & any MCP client.

Amem MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "amem": {
      "command": "npx",
      "args": [
        "-y",
        "@aman_asmuei/amem"
      ]
    }
  }
}

Amem MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Amem?

Amem (Aman's Memory) is an MCP server that gives AI coding assistants persistent memory. It remembers user preferences, decisions, corrections, and project knowledge across conversations so the user never has to repeat themselves. All data stays on the local machine using SQLite and local embeddings, with no cloud or API keys required.

How to use Amem?

Install the package globally with npm install -g @aman_asmuei/amem, then configure it as an MCP server in your AI tool (Claude Code, Cursor, Windsurf, or any MCP client) by pointing to the amem command or npx @aman_asmuei/amem. Once connected, ask the AI to store or recall memories using built-in tools like memory_store and memory_recall.

Key features of Amem

  • Persistent memory for AI assistants via MCP.
  • Six memory types: corrections, decisions, patterns, preferences, topology, facts.
  • Smart ranking using relevance, recency, confidence, and importance.
  • Conflict detection and automatic reinforcement of related memories.
  • Built-in consolidation: merge duplicates, prune stale, promote frequent.
  • Local storage with SQLite and embeddings; no cloud.

Use cases of Amem

コメント

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