Ember Memory

Name: Ember Memory
Author: attilakiss9000

@attilakiss9000

Ember Memory について

Preserves the emotional texture of human-AI conversations across sessions through real-time experiential annotation — temperature, authenticity, shifts, subtext, and unspoken context.

#memory #ai-memory #experiential-memory #conversation #emotional-memory #claude #mcp-server #relationship

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

attilakiss9000

投稿者

Attila Kiss

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": {
    "ember": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ember-memory"
      ],
      "env": {}
    }
  }
}

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 Ember Memory?

Ember Memory is an MCP server that preserves the emotional texture of human-AI conversations across sessions. Unlike memory tools that record facts and summaries, it captures emotional temperature, authenticity, turning points, subtext, and unspoken context, enabling genuine relationship continuity between sessions.

How to use Ember Memory?

— (The README does not provide installation, configuration, or invocation instructions.)

Key features of Ember Memory

Saves emotional texture, not just facts
Tracks emotional temperature and authenticity
Records turning points and subtext
Preserves unspoken context across sessions
Enables continuity of relationship feel between AI sessions

Use cases of Ember Memory

Maintaining the emotional flow of a long-term coaching or therapy-like conversation
Ensuring a creative brainstorming session picks up on previous moods and tones
Building persistent rapport in companion AI interactions

FAQ from Ember Memory

What makes Ember Memory different from other memory tools?

Ember captures how the conversation felt—emotional temperature, authenticity, turning points, subtext, and unspoken context—rather than saving facts and summaries.