What are the prerequisites for running Memory Custom?
Node.js version 16 or higher is required.
@BRO3886
基本信息
simple memory mcp server with custom memory location
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-memory-custom": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@BRO3886/mcp-memory-custom",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Memory Custom is an enhanced version of the official MCP Memory server. It adds custom memory paths and timestamping capabilities to the knowledge graph that captures interactions via a language model (LLM). It's intended for users who want project-specific memory storage and better context tracking.
Install via Smithery with npx -y @smithery/cli install @BRO3886/mcp-memory-custom --client claude or clone the repo, run npm install && npm run build, and set the MEMORY_FILE_PATH environment variable to specify a custom memory file path (defaults to memory.json). Add the server configuration to claude_desktop_config.json or .cursor/mcp.json and follow the provided system prompt for interaction.
Node.js version 16 or higher is required.
Set the `MEMORY_FILE_PATH` environment variable before running the server. If not set, it defaults to `memory.json` in the same directory as the script.
It exposes tools for setting memory file path, creating/reading/updating/deleting entities, relations, observations, searching nodes, opening nodes, and getting the current time.
The server provides a `get_current_time` tool that can be used to add timestamps to entities, observations, and relations during interaction.
Yes, it can be configured as an MCP server in `claude_desktop_config.json` or `.cursor/mcp.json` by specifying the command and args to the compiled `index.js` file.

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