Engram MCP Server

@HBarefoot

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

HBarefoot

投稿者

Henry Barefoot

Engram MCP Server について

Engram is a production-ready memory system that gives AI agents persistent, searchable memory across conversations. Think of it as SQLite for agent state - simple, fast, and reliable.

#persistentmemmory

Engram 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": {
    "engram": {
      "command": "node",
      "args": [
        "/path/to/engram/bin/engram.js",
        "start",
        "--mcp-only"
      ]
    }
  }
}

Engram 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 Engram?

Engram is a memory layer for AI assistants—a local server that stores, searches, and manages contextual information for tools like Claude Desktop and Claude Code. It provides a hybrid recall algorithm, automatic secret detection, and multiple interfaces (CLI, REST API, MCP, and web dashboard) to give AI agents persistent, long-term memory.

How to use Engram?

Clone the repository, run npm install, then start the server with npm start. Engram can be used via CLI commands (engram remember, engram recall, engram list, engram status), integrated with Claude Desktop by adding an MCP entry in claude_desktop_config.json, accessed through a REST API at http://localhost:3838, or managed through the web dashboard at http://localhost:5173.

Key features of Engram

Hybrid recall algorithm using similarity, recency, confidence, access, and FTS
Five memory categories: preference, fact, pattern, decision, outcome
Automatic secret detection and redaction for common credential types
Memory consolidation: duplicate removal, contradiction detection, decay
Namespace organization for projects or contexts
PM2 support for persistent background service

Use cases of Engram

Remember user preferences like coding style or framework choices
Document project decisions and infrastructure facts for context-aware code generation
Store and recall recurring workflow patterns (e.g., "always runs tests before commit")
Maintain a persistent memory of outcomes across multiple development sessions

よくある質問

How do I install Engram?

Clone the repository, run `npm install`, then start the server with `npm start`. The REST API runs on port 3838 and the dashboard on port 5173.

How do I integrate Engram with Claude Desktop?

Add an MCP server entry to `~/Library/Application Support/Claude/claude_desktop_config.json` with the command `node /path/to/engram/bin/engram.js start --mcp-only`. Alternatively, use the Integration Wizard in the web dashboard at `http://localhost:5173`.

Does Engram require an internet connection?

Yes, on first use it downloads a 23MB embedding model to `~/.engram/models/`. After that, all operations are local.

How do I resolve a database lock error?

Close all connections and restart the process: `pkill -f "node bin/engram.js"` then `node bin/engram.js start`. SQLite WAL mode normally prevents locks.

What is the performance of Engram?

Memory storage takes ~1ms per memory. Recall search takes ~10-50ms for 5 results. Database size is ~2KB per memory. Base memory usage is ~50MB plus the loaded model.

「その他」の他のコンテンツ

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context