広告掲載
MCP.so
ログイン

Mnemon — Persistent Layered Memory for AI Agents MCP Server

@nikitacometa

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

nikitacometa

投稿者

Nikita

Mnemon — Persistent Layered Memory for AI Agents MCP Server について

Persistent 4-layer memory (episodic, semantic, procedural, resource) backed by SQLite FTS5. Fact versioning, Snowball stemming (EN+RU), BM25 ranking. Zero-cloud, single-file database. 7 MCP tools.

#memory#sqlite#persistent-memory#ai-agent#fts5#multilingual#knowledge-base

Mnemon — Persistent Layered Memory for AI Agents 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": {
    "mnemon-mcp": {
      "command": "mnemon-mcp"
    }
  }
}

Mnemon — Persistent Layered Memory for AI Agents 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。

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 Mnemon — Persistent Layered Memory for AI Agents?

Mnemon — Persistent Layered Memory for AI Agents gives any MCP-compatible client (Claude Code, Cursor, Windsurf, or your own) a structured long-term memory backed by a single SQLite database on your machine. It uses a layered memory model (episodic, semantic, procedural, resource) with different lifetimes and access patterns, all without API keys, cloud services, or telemetry.

How to use Mnemon — Persistent Layered Memory for AI Agents?

Install globally via npm: npm install -g mnemon-mcp. Then configure the server in your MCP client’s configuration file. The server exposes seven MCP tools for storing, searching, updating, deleting, inspecting, exporting, and maintaining memory entries.

Key features of Mnemon — Persistent Layered Memory for AI Agents

  • Four memory layers with configurable lifetimes (decay, stable, rarely changes)
  • Seven MCP tools: add, search, update, delete, inspect, export, health
  • Full-text search (FTS5) with BM25 ranking and Snowball stemming
  • Optional vector search via OpenAI or Ollama embeddings with hybrid ranking
  • Fact versioning: version chains with superseding, full history via memory_inspect
  • Fully local: single SQLite database, no external services or API keys

Use cases of Mnemon — Persistent Layered Memory for AI Agents

  • Give AI agents persistent long-term memory across sessions
  • Store and retrieve user preferences, facts, and relationships
  • Maintain workflow rules, conventions, and procedural knowledge
  • Keep reference material and book notes with automatic decay
  • Log events and sessions for episodic recall

よくある質問

1

What memory layers does Mnemon provide?

Episodic (events, sessions; decays with 30-day half-life), Semantic (facts, preferences; stable), Procedural (rules, workflows; rarely changes), and Resource (reference material; decays slowly over 90 days).

2

Does Mnemon require any cloud services or API keys?

No. It runs entirely locally with a single SQLite database. No external services, no API keys, no telemetry.

3

How does search work in Mnemon?

Search uses FTS5 with BM25 ranking, multi-word AND with progressive OR fallback, and Snowball stemmer for English and Russian. Optional vector search via OpenAI or Ollama embeddings uses hybrid ranking with Reciprocal Rank Fusion.

4

What are the system requirements for Mnemon?

Node.js ≥22. No other external dependencies.

5

How does Mnemon handle fact updates?

Updates can be performed in-place or as versioned replacements (superseding chain). Search always returns the latest version, while memory_inspect reveals the full version history. Deleting a memory reactivates its predecessor if any.

コメント

「メモリとナレッジ」の他のコンテンツ

Memory

modelcontextprotocol

Model Context Protocol Servers

88.1K

server-noonien - shared memory MCP

sequico

Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Takibi Base

Deian Isac

Ask your Takibi Base collections anything; get answers with cited passages and a support score.

Sensefold

SenseFold Labs

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

The Cloud

Teka

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your

広告掲載