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SelfMemory MCP Server

@SelfMemory

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

SelfMemory

投稿者

Shrijayan Rajendran

SelfMemory MCP Server について

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking

#memory#rag#agent#long-term-memory

SelfMemory 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": {
    "SelfMemory": {
      "url": "https://mcp.selfmemory.com/mcp/"
    }
  }
}

SelfMemory 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 SelfMemory?

SelfMemory is an open-source universal memory engine that lets users store and retrieve AI conversations and context across different models. It offers multiple access methods—MCP, an SDK, and the website selfmemory.com—and over time it will evolve into a one-stop memory hub with note-taking and chatbot features. For businesses, SelfMemory serves as a knowledge backbone that stores project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

How to use SelfMemory?

Users can add memories through the MCP protocol, an SDK, or directly via the website selfmemory.com. No specific installation or configuration commands are provided in the README.

Key features of SelfMemory

  • Open-source universal memory engine
  • Store and retrieve AI conversations across models
  • Multiple access methods: MCP, SDK, website
  • Planned evolution into a memory hub with note-taking and chatbot
  • B2B knowledge backbone for organizational data

Use cases of SelfMemory

  • Storing and retrieving personal AI conversations across different models
  • Maintaining context continuity in multi-model chat workflows
  • Building a centralized organizational knowledge base for company-wide AI systems

よくある質問

1

Is SelfMemory open-source?

Yes, SelfMemory is an open-source universal memory engine.

2

How can I add memories to SelfMemory?

You can add memories via the MCP protocol, an SDK, or the website selfmemory.com.

3

What is the future direction of SelfMemory?

It will evolve into a one-stop memory hub featuring note-taking and chatbot capabilities.

4

Can SelfMemory be used for business applications?

Yes, for B2B it becomes a knowledge backbone that stores project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

5

Does SelfMemory work with any specific AI model?

The README indicates it works across different models, making it model-agnostic rather than tied to a single provider.

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