広告掲載
MCP.so
ログイン
A

Agent Memory MCP Server

@tverney

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

tverney

投稿者

Thiago Verney

Agent Memory MCP Server について

概要はまだありません

#mcp#mcp-server#model-context-protocol#ai-agents#agent-memory#kiro#claude-desktop#cursor#openclaw#persistent-memory#typescript#bedrock#llm-tools

Agent Memory 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": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-agent-memory"
      ],
      "env": {
        "MEMORY_DIRECTORY": "~/.agent-memory/memory",
        "SESSION_DIRECTORY": "~/.agent-memory/sessions"
      },
      "disabled": false,
      "timeout": 30000
    }
  }
}

Agent Memory 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 Agent Memory?

Agent Memory is an MCP server that exposes an agent-memory-daemon to any MCP-compatible client. The server acts as a thin filesystem bridge so that agents can read, append, and search memory through the Model Context Protocol, while the daemon handles consolidation and extraction.

How to use Agent Memory?

—

Key features of Agent Memory

  • Exposes agent-memory-daemon via the Model Context Protocol
  • Acts as a lightweight filesystem bridge for memory operations
  • Supports reading, appending, and searching agent memory
  • Compatible with Kiro, Claude Desktop, Cursor, and other MCP clients
  • Separates memory storage (server) from consolidation and extraction (daemon)

Use cases of Agent Memory

  • Allow AI agents to persist and retrieve memories across different sessions
  • Enable memory search functionality for any MCP-compatible client
  • Decouple memory management logic from client-specific implementations

よくある質問

1

Which clients does Agent Memory work with?

Agent Memory works with any MCP-compatible client, including Kiro (CLI & IDE), Claude Desktop, Cursor, and others.

2

What is the difference between the server and the daemon?

The agent-memory-daemon handles the thinking—consolidation and extraction—while the server is a thin filesystem bridge that enables memory operations through MCP.

3

What memory operations does Agent Memory support?

The server enables agents to read, append, and search memory through the Model Context Protocol.

コメント

「AI とエージェント」の他のコンテンツ

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148
L

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.

1

OpenZiti / LLM-Gateway

openziti

NetFoundry LLM Gateway is an OpenAI-compatible API proxy that routes requests across multiple LLM providers using zero-trust networking. Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load bala

93

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

1

scvd.store

seancrecord

scvd.store is an evidence observatory for agentic commerce. Independent signed observation of what other people's endpoints, artifacts and payments actually did among other things. USDC on Base, Arbitrum One, World Chain

2
広告掲載