Context Mem

Name: Context Mem
Author: JubaKitiashvili

@JubaKitiashvili

Context Mem について

Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

JubaKitiashvili

投稿者

Juba

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": {
    "context-mem": {
      "command": "npx",
      "args": [
        "-y",
        "context-mem",
        "serve"
      ]
    }
  }
}

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 Context Mem?

Context Mem is a local MCP (Model Context Protocol) server that provides memory and context infrastructure for AI agents. It automatically remembers every tool call and compresses observations to save tokens, storing everything in a local SQLite database and a markdown vault. It is designed for developers using AI coding assistants like Claude Code, Cursor, Windsurf, VS Code Copilot, and others.

How to use Context Mem?

Install the package with npm i context-mem and run npx context-mem init to auto-configure for your editor. The server runs locally with no API keys or cloud account required.

Key features of Context Mem

Automatic memory ingestion into a markdown vault.
14 content-aware summarizers for 99.1% token savings.
Hybrid retrieval with BM25, vector, and LLM reranking.
45+ MCP tools for querying and managing memory.
Fully local: no cloud, no API keys required.
Adaptive compression with pinned entries staying verbatim.

Use cases of Context Mem

Retain project context across AI sessions to avoid re-explaining.
Comp

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