Where does the server store memory data?
By default, memory is stored in `memory.json` in the server directory. Use the `MEMORY_FILE_PATH` environment variable to set a custom path.
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基本信息
MCP server for enabling memory for Claude through a knowledge graph
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"memory-python": {
"command": "uvx",
"args": [
"--refresh",
"--quiet",
"mcp-memory-py"
],
"env": {
"MEMORY_FILE_PATH": ""
}
}
}
}Create multiple new entities in the knowledge graph
Create multiple new relations between entities
Add new observations to existing entities
Remove entities and their relations
Remove specific observations from entities
Remove specific relations from the graph
Read the entire knowledge graph
Search for nodes based on query
Retrieve specific nodes by name
Knowledge Graph Memory Server is a Python implementation of persistent memory using a local knowledge graph. It enables Claude to remember information about the user across different chat sessions by storing entities, relations, and observations in a JSON file.
Add the server configuration to your claude_desktop_config.json using uvx with the mcp-memory-py package. Optionally set the MEMORY_FILE_PATH environment variable to specify a custom memory file location. For chat personalization, use the provided system prompt in Claude.ai Project custom instructions.
search_nodes, open_nodes)By default, memory is stored in `memory.json` in the server directory. Use the `MEMORY_FILE_PATH` environment variable to set a custom path.
The server runs via `uvx` and requires Python. It is a port of the Node.js reference server and uses the MCP protocol.
You can use `npx @modelcontextprotocol/inspector` to debug the server, and set `DEBUG_LOGGING` environment variable for daily log files (development only).
Use the provided system prompt to guide Claude on when and how to create entities, relations, and observations. The prompt can be adjusted for different use cases.
Duplicate entities are ignored; duplicate relations are skipped. The operations are silent on duplicates.
Groundwork: company memory for your AI tools. Docs public. Source closed. Public proof needs no account.
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