What are the prerequisites for running Memory Custom?
Node.js version 16 or higher is required.
@BRO3886
Basic information
simple memory mcp server with custom memory location
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-memory-custom": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@BRO3886/mcp-memory-custom",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Model Context Protocol Servers

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
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