Engram MCP Server

@ayvazyan10

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

ayvazyan10

投稿者

Razmik Ayvazyan

Engram MCP Server について

Persistent AI memory backend with semantic search and knowledge graph.

#memory #knowledge-graph #semantic-search #embeddings #sqlite #local #ai-memory#episodic#persistent

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": "npx",
      "args": [
        "-y",
        "@engram-ai-memory/mcp@latest"
      ]
    }
  }
}

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Engram?

Engram is a universal AI memory backend that gives any AI model a persistent, growing brain. It stores memories in a local SQLite database with full-text search, vector semantic search, and a knowledge graph that connects related concepts.

How to use Engram?

Install the server with npx -y @engram-ai-memory/mcp@latest. Configure it as an MCP server in any compatible client such as Claude Desktop by adding the command and arguments to the mcpServers section of your client’s configuration.

Key features of Engram

Semantic search finds memories by meaning, not just keywords
7-step knowledge graph traversal connects related memories
Contradiction detection automatically flags conflicting beliefs
Local-first – all embeddings run on-device, no API keys needed
Universal – works with Claude, OpenAI, Ollama, and any MCP client
18 built-in MCP tools for memory management

Use cases of Engram

Storing and retrieving past conversations, decisions, and events (episodic memory)
Maintaining a persistent knowledge base of facts and beliefs (semantic memory)
Recording how-to instructions, workflows, and code patterns (procedural memory)
Detecting and resolving contradictory information in an AI’s knowledge base
Providing long-term context to AI models across sessions and clients

よくある質問

What types of memory does Engram support?

Engram supports three memory types: episodic (past events and conversations), semantic (facts and beliefs), and procedural (how-to instructions and workflows).

Does Engram require API keys or cloud services?

No. Engram is local-first – all embedding and search run on-device, and no data leaves your machine. No API keys are needed.

Which AI clients can use Engram?

Engram works with Claude, OpenAI, Ollama, and any MCP-compatible client.

Where are memories stored?

Memories are stored in a local SQLite database on your machine.

What MCP tools does Engram provide?

Engram offers 18 tools, including `store_memory`, `search_memory`, `recall_context`, `add_knowledge`, `check_contradictions`, `resolve_contradiction`, `forget`, `tag_memory`, `list_tags`, `decay_sweep`, `decay_policy`, `re_embed`, `embedding_status`, `index_status`, `memory_stats`, `plugin_list`, `webhook_subscribe`, and `webhook_list`.

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