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Memory Engine MCP Server

@SimoneB79

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

SimoneB79

投稿者

Simone Bonizzardi

Memory Engine MCP Server について

Atomic memory model — knowledge stored as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages)

#memory

Memory Engine 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": {
    "memory-engine": {
      "url": "http://localhost:8085/sse",
      "transport": "sse"
    }
  }
}

Memory Engine 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 Memory Engine?

Memory Engine is an MCP server that implements an atomic memory model for storing and retrieving knowledge as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages). It uses multi-factor ranking (FTS relevance × confidence × recency × weight), organic decay, and a learning engine to manage memory over time.

How to use Memory Engine?

—

Key features of Memory Engine

  • Atomic memory model with typed knowledge atoms
  • Multi-factor ranking combining FTS relevance, confidence, recency, and weight
  • Organic decay of unused atoms with review flags for critical ones
  • Learning engine that detects contradictions, gaps, weak atoms, and merge candidates
  • Session watcher that ingests OpenClaw session messages as atoms with TTL

Use cases of Memory Engine

  • Automatically ingesting and organizing conversation logs from OpenClaw sessions
  • Importing existing markdown notes as a one-way sync into the atomic knowledge graph
  • Graph traversal and relationship-aware retrieval for knowledge exploration
  • Automatic deduplication and merging of similar atomic memories
  • Detecting and flagging knowledge contradictions for human review

よくある質問

1

What is an atom in Memory Engine?

An atom is a unit of knowledge that can represent facts, decisions, events, preferences, logs, procedures, notes, or session messages. Each atom has properties like weight, recency, confidence, and optional TTL.

2

How does the ranking of atoms work?

Recall uses a multi-factor formula: FTS relevance × confidence × recency × weight. This is not just BM25 but combines multiple signals to prioritize important or timely knowledge.

3

Can I import my existing markdown notes?

Yes, Memory Engine supports a one-way sync from existing markdown notes. The import is designed for coexistence with, not replacement of, your original files.

4

What happens to atoms over time?

Atoms undergo organic decay, losing weight if not accessed. Critical atoms can be flagged for review. Additionally, atoms with TTL expire automatically.

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