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Epitome Personal Portable AI Memory Vault MCP Server

@gunning4it

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

gunning4it

投稿者

Josh G

Epitome Personal Portable AI Memory Vault MCP Server について

Epitome gives every AI agent shared, persistent memory of you. It stores memories, facts, and preferences in a personal knowledge graph, so any AI tool you use already knows your context. Connect via MCP using Streamable HTTP — no local install needed.

#memory#knowledge-graph#ai-agent#mcp#personalization

Epitome Personal Portable AI Memory Vault 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": {
    "epitome": {
      "type": "streamable-http",
      "url": "https://epitome.fyi/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Epitome Personal Portable AI Memory Vault 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。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Epitome?

Epitome is a personal AI memory layer that gives every AI agent you use shared, persistent memory of your preferences, habits, history, and relationships — stored in a knowledge graph accessible by any MCP-compatible client. No local install is required; it connects via Streamable HTTP.

How to use Epitome?

Configure an MCP client with a streamable-http transport pointing to https://epitome.fyi/mcp and an API key in the authorization header. Obtain your API key from https://epitome.fyi/dashboard/settings. After setup, invoke any of the nine provided tools (e.g., get_user_context at conversation start, save_memory to store notes).

Key features of Epitome

  • Knowledge graph — entities and relationships extracted automatically from every interaction
  • Semantic search — vector-powered memory recall across all saved content
  • Structured data — track anything with auto-created tables and columns
  • Contradiction detection — automatic quality checks keep memory accurate
  • Per-user isolation — each user gets their own PostgreSQL schema

Use cases of Epitome

  • Provide every AI agent with your profile and recent context at conversation start
  • Log structured data like meals, workouts, expenses, or medications without manual schema setup
  • Save and search personal notes, reflections, or experiences via vector memory
  • Traverse relationship patterns (e.g., multi-hop connections) across your knowledge graph
  • Review and resolve memory contradictions to maintain data accuracy

よくある質問

1

How do I get an API key for Epitome?

Sign in at [https://epitome.fyi/dashboard/settings](https://epitome.fyi/dashboard/settings) to generate your API key.

2

Does Epitome require local installation?

No. Epitome runs as a cloud service and connects via Streamable HTTP — no files to install or servers to run locally.

3

Where is my data stored?

Each user gets their own PostgreSQL schema, ensuring per-user isolation. Data is stored on Epitome's servers.

4

What transport does Epitome use?

Epitome uses the MCP Streamable HTTP transport. Configure your client with type `"streamable-http"` and the URL `https://epitome.fyi/mcp`.

5

How many tools does Epitome provide?

Epitome provides nine MCP tools: `get_user_context`, `update_profile`, `save_memory`, `search_memory`, `add_record`, `list_tables`, `query_table`, `query_graph`, and `review_memories`.

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