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Amem

@amanasmuei

リポジトリ

Amem 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.

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

公開者

amanasmuei

投稿者

Abdul Rahman

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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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